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**na lol** **Shift to AMD MI455X Instead of TPUs**: The same note specifies Meta is opting for AMD's Instinct MI455X accelerators over Google's TPUs for upcoming deployments. This isn't a full replacement but a strategic purchase shift to meet escalating inference and training requirements more efficiently. Meta has been AMD's largest AI accelerator customer, accounting for about 42% of AMD's 2025 GPU purchases (over 250,000 units of MI300X/MI325X/MI355X). Analysts project Meta to acquire 300,000–400,000 MI355X units in 2026, with the MI455X building on that for even larger scales. [$AMD](https://x.com/search?q=%24AMD&src=cashtag_click) **Helios Rack-Scale System**: Meta co-developed Helios with AMD, a rack featuring 72 MI455X GPUs and 18 EPYC "Venice" CPUs (Zen 6, 256 cores/512 threads on 2nm). It targets yotta-scale AI (10\^24 FLOPs), with aggregate 31TB HBM4 memory and 1.4 PB/s bandwidth. Meta is projected to deploy 5,000–10,000 Helios racks in 2026, supporting Llama models and a push toward AGI. This validates AMD's traction, with FY2026 revenue estimates at $70–100B, half from AI GPUs. Cooling is direct-to-chip liquid for both GPUs and memory, emphasizing efficiency in power-hungry data centers.
**Shift to AMD MI455X Instead of TPUs**: The same note specifies Meta is opting for AMD's Instinct MI455X accelerators over Google's TPUs for upcoming deployments. This isn't a full replacement but a strategic purchase shift to meet escalating inference and training requirements more efficiently. Meta has been AMD's largest AI accelerator customer, accounting for about 42% of AMD's 2025 GPU purchases (over 250,000 units of MI300X/MI325X/MI355X). Analysts project Meta to acquire 300,000–400,000 MI355X units in 2026, with the MI455X building on that for even larger scales. [$AMD](https://x.com/search?q=%24AMD&src=cashtag_click) **Helios Rack-Scale System**: Meta co-developed Helios with AMD, a rack featuring 72 MI455X GPUs and 18 EPYC "Venice" CPUs (Zen 6, 256 cores/512 threads on 2nm). It targets yotta-scale AI (10\^24 FLOPs), with aggregate 31TB HBM4 memory and 1.4 PB/s bandwidth. Meta is projected to deploy 5,000–10,000 Helios racks in 2026, supporting Llama models and a push toward AGI. This validates AMD's traction, with FY2026 revenue estimates at $70–100B, half from AI GPUs. Cooling is direct-to-chip liquid for both GPUs and memory, emphasizing efficiency in power-hungry data centers.
**Shift to AMD MI455X Instead of TPUs**: The same note specifies Meta is opting for AMD's Instinct MI455X accelerators over Google's TPUs for upcoming deployments. This isn't a full replacement but a strategic purchase shift to meet escalating inference and training requirements more efficiently. Meta has been AMD's largest AI accelerator customer, accounting for about 42% of AMD's 2025 GPU purchases (over 250,000 units of MI300X/MI325X/MI355X). Analysts project Meta to acquire 300,000–400,000 MI355X units in 2026, with the MI455X building on that for even larger scales. [$AMD](https://x.com/search?q=%24AMD&src=cashtag_click) **Helios Rack-Scale System**: Meta co-developed Helios with AMD, a rack featuring 72 MI455X GPUs and 18 EPYC "Venice" CPUs (Zen 6, 256 cores/512 threads on 2nm). It targets yotta-scale AI (10\^24 FLOPs), with aggregate 31TB HBM4 memory and 1.4 PB/s bandwidth. Meta is projected to deploy 5,000–10,000 Helios racks in 2026, supporting Llama models and a push toward AGI. This validates AMD's traction, with FY2026 revenue estimates at $70–100B, half from AI GPUs. Cooling is direct-to-chip liquid for both GPUs and memory, emphasizing efficiency in power-hungry data centers.
yeah my point is biden would've probably won MI/WI/PA had he not been so old obviously trump is old as fuck too, but he has a different set of senile trait that idiots don't recognize.
Loyal "GOP" voters don't matter. Presidential elections that are close enough to go either way are decided by swing voters - voters who can vote for either party, or at least decide not to vote for their usually preferred party, and who live where that decision matters. The current "most swing" voters are middle/working class voters in PA, WI, and MI. There are other close-to-swing states like GA or NH, but in the current conditions (which could of course change), if a Democrat wins GA or a Republican wins NH, they probably win the "most swing" places and it's a bonus. This could change but in the most recent elections those have been the voters who most mattered. I'm not a swing voter. I dislike both parties but would never fail to vote against the current Republican party, and I live in a very non-swing state.
**2. AMD - HOLD (Neutral)** | Metric | Value | Analysis | |:--|:--|:--| | Market Cap | $330B | | | YTD Return | +68.4% | Strong, but trailing NVDA | | P/E | 99.9x | **Expensive** | | Forward PEG | 0.75x (est) | 25% discount to sector, but still pricey | | ROE | 5.6% | **Weak** for a growth stock | | Analyst Rating | Buy (47 of 69) | Consensus positive | **Your Thesis:** Lisa Su is a legend, and MI300X is NVDA's only credible competitor. But... AMD trades at 100x P/E with 5.6% ROE. That's a lot of hope priced in. **Risk:** If MI300X doesn't steal meaningful share from NVDA, stock tanks. **Verdict:** **HOLD.** I love Lisa Su too, but valuation is rich. Wait for -15% pullback. --- **3. ALL (Allstate) - VALUE PLAY** | Metric | Value | Analysis | |:--|:--|:--| | Market Cap | $56B | | | YTD Return | +10.5% | Steady | | P/E | 6.7x | **Cheap** | | ROE | 35.3% | Excellent | | Analyst Rating | Buy (22 of 42) | Positive | **Your Thesis Confirmed:** P&C insurance is defensive + rate hikes = higher investment income. 200% YoY growth sounds like an acquisition or one-time event (not organic). Verify in 10-K. **Risk:** Climate risk (hurricanes, wildfires) could spike claims. **Verdict:** **BUY.** Cheap defensive play with 35% ROE. Good for portfolio balance. --- **4. INCY (Incyte) - BUY** | Metric | Value | Analysis | |:--|:--|:--| | Market Cap | $21B | | | YTD Return | +53.7% | Strong | | P/E | 17.6x | **Cheap for biotech** | | ROE | 29.8% | Healthy | | Analyst Rating | Buy (24 of 43) | Positive | **Your Thesis Confirmed:** Jakafi is mature, but pipeline (blood cancers, dermatology) is diversifying. Low debt, insider buybacks, 30% ROE = quality compounder. **Risk:** Patent cliffs. Jakafi loses exclusivity 2027 (US), 2029 (EU). Pipeline must deliver. **Verdict:** **BUY more.** At P/E 17.6x with 30% ROE, this is a steal if pipeline works. --- **5. B (Barrick Gold) - CONTRARIAN BUY** | Metric | Value | Analysis | |:--|:--|:--| | Market Cap | $82B | | | YTD Return | **+199%** | Huge move | | P/E | 22.7x | Reasonable for gold miner | | ROE | 14.5% | Decent | | Dividend Yield | 1.1% | Bonus | **Your Thesis:** Gold up 35% in 2024 (to $2,650/oz), but B is up 200%. Some of this is catch-up (miners lag gold), but momentum is strong. Copper exposure (30% of revenue) adds diversification. **Risk:** Gold peaked? If we get a Trump "strong dollar" policy, gold could correct 15-20%. **Verdict:** **HOLD (trim 25%).** Take profits, keep core position. Gold is overbought short-term. --- **Portfolio Allocation (if $10k):** - **MU:** 30% ($3k) - High conviction - **INCY:** 25% ($2.5k) - Value + growth - **ALL:** 20% ($2k) - Defensive - **B:** 15% ($1.5k) - Commodity hedge (trimmed) - **AMD:** 10% ($1k) - Speculative (wait for dip) **Bull:** Diversified across tech, healthcare, financials, commodities **Bear:** Heavy on semiconductors (MU + AMD = 40%) - if AI crashes, portfolio hurts Solid list. I'd rank: **MU > INCY > ALL > B > AMD** (on current valuation).
>AMD was also raised to Overweight with a $270 price target, with KeyBanc saying the chipmaker is “almost being completely sold out of server CPU in 2026.” >The analysts estimate AMD’s server CPU business “will grow at least 50% this year,” while AI-related revenue should reach “$14B–$15B” in 2026, supported by shipments of MI355 and a significant ramp of the MI455-powered Helios platform.
I’m an ignorant retard - where exactly does it state that meta’s rack is still powered by AMD’s MI455x?
Maybe if you read the article again you’ll realize that if tho the racks are different they are still powered by AMD’s MI455x chips you ignorant retard
When you guys are done abusing him can you send him up to Canada? We need a matching vice-Prime Minister to complete the set of "sensible bankers in charge". Note: They have to be able to pass as MI6 agents who like their martini's shaken not stirred. https://preview.redd.it/lofm3yfh9xcg1.png?width=2048&format=png&auto=webp&s=7ac137d95f29fd3d95b8cc9420194f3c50d72aef
\> 🥭 invades greenland, EU forces near US bases surrender rapidly, frontlines freeze elsewhere \> EU dumps us bonds while deploying EU intelligence agencies + MI6 to support Greenlandic insurgents and to finance EU forces in Greenland \> Other countries follow EUs example \> US treasury interest rates spike \> bol market cancelled Most likely sequence of events imo when 🥭 invades greenland .
My bet is on AMD but I’ve been holding for a long time and will continue to. I don’t think it’s a quick hold But I have big hopes for MI450 orders this year and MI500 afterwards
Imagine thinking the Conservative and the Labour are two different things in the UK, they're exactly the same thing. No difference at all, both of them are controlled by the MI6. You clearly have no idea what you're talking about. Only Reform is different.
Idk man. AMD’s MI500 sounded more impressive to me. Regardless I hold both.
Su bae better get that MI pitch going strong, my calls are feeling very uneasy rn. I recall last time in 2024, after CES, shit tanked
Analysts and historical data point to the "Chip Trifecta" as the primary movers during CES week: AMD (AMD): Expected to be a top mover following CEO Lisa Su’s keynote. Historically, AMD shares tend to rally during CES week due to new product launches. Analysts have recently set a high-end price target of $290 for 2026, anticipating gains from new Ryzen AI 400 series chips and updates on the MI350/MI400 accelerators. Intel (INTC): Intel faces high stakes at CES 2026. The stock moved 6.5% higher on the Friday preceding the show as excitement built for the Panther Lake processors (built on the new 18A process). Success in this launch is seen as critical for Intel's ongoing turnaround. NVIDIA (NVDA): While already a massive mover, NVIDIA’s impact this week focuses on its Rubin architecture and the integration of its recent Groq acquisition assets for low-latency AI inference. Analysts predict the stock could push toward $200 in the short term and potentially $300 by later in 2026.
>They need a solid navy, an aircraft carrier and elite special forces.. which all of them have. You can have those things but you need logistics: Military bases close to the target for logistical support (fuel, ammo, medical, etc.), intelligence assets inside that country (CIA > MI6), oil tankers, air refills, long range spy drones, etc. The UK navy is built on a defensive strategy, which is what they did in south America: defending a territory that was already theirs. UK army lacks offensive capabilities
There’s still an A&W drive-in location in Ortonville, MI. I don’t believe the carhops were on skates when I ate there a few months ago, but otherwise it was the same experience! I’m sure there must still be others, too.
I think people are still trying to grasp what is happening and whether this is an extended super cycle with the ability to set a new floor at the current pace. Just like some of the silver thesis out there, HBM is a powerful commodity that is theoretically going to remain scarce for a while under the premises - it is hard to make the advanced memory with high yield - the amount of memory needed per chip could reach 1TB by 2027/28. 2026 alone could more than 2x to 432 per AMD MI400. I worry about power constraints limiting setting up more capacity, but the next couple of years are releasing a lot more efficient solutions. Energy will need to catch up and I think solutions are 4ish years out, but I am just starting to read up on this part of the bottleneck and looking for investment opportunities. Anyway, my thesis is that the energy bottleneck will be addressed by higher turnover and early deprecation of outdated units or those used units can be sold in secondary markets due to not being "burnt" out. They will have scales to do this, or at least that is how I would offset some of that cost. Therefore, in the short term we could see high demand churn cycles in order to get the processing efficiency benefits sooner than later. That is how ai can scale to demand while being power constrainted. TLDR: AI is going to want that new new to grow capacity every 18 months, to accommodate regional energy bottlenecks. Micron is selling a highly valuable commodity and is in the U.S. when an arms race is happening. Will it cycle, likely. I am betting for a super cycle and new floor. We haven't even addressed AI edge cases yet and wireless robot ai agents. Shit is changing and Micron has big leverage in that brave new world.
AMD looks really good for the year with the release of the MI450. Leaps.
You may have slipped through the cracks. I haven't had a bad experience with Schwab over the past 8 years per se but my father did have a hard time getting some legal questions regarding assigning full trading authority of his inherited trust to me. Between the originating office in CA, the local branch for him in MI, the local branch here in MD and the central office in TX, they lost track of his requested review internally and took about 2 months to approve the FTA request but customer service was always there to talk to..... It was just that the right hand didn't know what the left hand was doing. I started with a robo advisor when I opened my Roth with Schwab but switched to self directed. I'm sure that over the long run, it would have set me up well for retirement but as I learned more about investment strategy and products, I decided to switch to self directed.
Compare it to Caris Life Sciences, stock symbol CAI. Caris Life Sciences, Inc., an artificial intelligence TechBio company, provides molecular profiling services in the United States and internationally. It develops and commercializes solutions to transform healthcare using molecular information, and machine learning algorithms. The company's molecular profiling services portfolio includes MI Profile, a tissue-based molecular profiling solution; and Caris Assure, a blood-based molecular profiling solution for cancer treatment. It also offers pharma research and development services comprising laboratory delivery, strategic data, and research services to biopharmaceutical customers. [https://www.carislifesciences.com/about/news-and-media/caris-life-sciences-reports-third-quarter-2025-financial-results/](https://www.carislifesciences.com/about/news-and-media/caris-life-sciences-reports-third-quarter-2025-financial-results/) I own CAI, small position.
Hardware depreciation - keep in mind that GPU/CPU does not age like a milk. If companies lack funding to upgrade their hardware every 2-3 years then they will stick to the 5-6 year cycle (using OPs numbers). You do not need state of the art hardware for generating cat pictures, that animated porn your wife's boyfriend likes, or summarizing of long DD posts. That, lets say 10%, performance boost is nice but not crucial. Also iirc then Altman or perhaps Ilya said that some of the future computational speed gains will come from optimized algorithms/software instead. if you talk pricing then who says NVDA can not lower their prices(up to a point where AMD can stick their theoretically better yet more expensive GPU to you know where)? NVDA margins are so high that there is no problem for them to enter pricing war. But at the moment the demand sets the price. ROCm - open source(ouch, ow, ow). Unless the pricing/money is what moves people from CUDA to ROCm then you are going to need a god tier evangelists and marketers to move the top tier scientists/code from one working platform to another, sometimes-working-if-all-versions-match platform. All in all, competition is nice but I am not at all convinced that AMD will dethrone NVDA with that MI300X. although they are a real competitor. Sadly AMD valuation is already at a quite high level so while I am sure NVDA share price will fall I do not believe that AMD will win from that in a huge/meaningful way. Anyways, thx for the solid DD.
Had to get my receipts out for this one. [MI300X released December 6, 2023](https://www.amd.com/en/newsroom/press-releases/2023-12-6-amd-delivers-leadership-portfolio-of-data-center-a.html), [H200 announced November 13, 2023](https://investor.nvidia.com/news/press-release-details/2023/NVIDIA-Supercharges-Hopper-the-Worlds-Leading-AI-Computing-Platform/default.aspx) – they're literally the same generation competing products released within weeks of each other. I've been comparing apples to apples this entire time. [Across Microsoft, Meta, Oracle, and TensorWave, AMD shipped 327,000 MI300X units in 2024](https://www.theregister.com/2024/12/23/nvidia_ai_hardware_competition/). Specifically: Meta accounted for 173,000 units, Microsoft 96,000 units, and Oracle 38,000 units. Microsoft is using MI300X to power Azure OpenAI Chat GPT 3.5 and 4 services. [Oracle never stopped buying MI300X in 2025 with ongoing shipments through Q4 2025](https://x.com/MikeLongTerm/status/1998586597810344301). MI325X mass shipments started Q2 2025. [MI355X volume production started June 2025, with Oracle scaling to over 131,072 GPUs](https://blogs.oracle.com/cloud-infrastructure/announcing-general-availability-of-oci-amd-mi355x). On AMD figures being a dissapointment – [Lisa Su went into 2024 expecting $2 billion in GPU sales, AMD delivered over $5 billion, exceeding expectations by 150%](https://digidai.github.io/2025/11/17/lisa-su-amd-ai-chip-nvidia-challenge-deep-analysis/). [AMD raised GPU outlook from $4B to over $5B during 2024](https://www.cnbc.com/amp/2024/07/30/amd-earnings-report-q2-2024.html). Stock dropped on slightly softer Q4 guidance and MI350 launching mid-2025 while Blackwell was shipping – timing issue, not execution failure. You've contradicted yourself at every turn. AMD shipped 327k units in year one to Meta/Microsoft/Oracle at scale, crushed their own guidance by 150%, and MI400 specs (432GB HBM4 @ 19.6 TB/s) beat B300 (288GB HBM3e @ 8 TB/s). Same EPYC playbook.
ermahgerhd. 1. yeah, those figures were a huge disappointment. hence, why amd crashed from 218 to 75. 2. WE WERE TALKING ABOUT CURRENT BUILDOUTS. YOU'RE COMPARING MI300X PRICES (what) TO GB200 OR ETC. IT MAKES NO SENSE. NO ONE IS BUYING MI300X ANYMORE what a retard.
"No one's buying MI300X"? 327,000 MI300X units shipped in 2024 across Meta, Microsoft, Oracle, and TensorWave. Meta and Microsoft were NVIDIA's biggest customers and they're diversifying to AMD at scale. You've contradicted yourself multiple times: * First: "AMD isn't good at training" * Then: "Supercomputers don't matter" * Then: "You don't know what an APU is" * Then: "Focus on GPUs not CPUs" * Now: "No one's buying MI300X" (despite 327k units shipped) You're not arguing in good faith. You're just throwing shit at the wall. The thesis stands: AMD has competitive/superior hardware at 1/3 the cost, shipped 327k units in their first year, ROCm is maturing, and MI400 specs (432GB HBM4 @ 19.6 TB/s) beat B300 specs (288GB HBM3e @ 8 TB/s). Same pattern as EPYC.
MI300X pricing ranges $10-15k depending on volume. Fine, let's use your $10k number since you want to be precise: 8x MI300X @ $10k = $80k 8x H200 @ $44k = $352k You just made my argument stronger. Now it's a $270k difference per rack instead of $200k. Thanks. On "AMD makes awful deals": AMD won El Capitan and Frontier ($1.2B) in competitive bids against NVIDIA. They're taking market share from zero to 327,000 MI300X units shipped in 2024 across Meta, Microsoft, Oracle. That's not "awful deals" - that's the EPYC playbook. Undercut on price, gain share, scale volume, expand margins over time. Intel made "amazing margins" too... until AMD took 28% server share and Intel's stock went nowhere for 5 years. That's the pattern you're missing. And I never said "focus on CPU crumbs." I said AMD offers complete CPU+GPU solutions that NVIDIA can't match without partnering. That integrated offering + cost advantage is the competitive edge. You've spent this whole thread moving goalposts. I'm done here.
> A rack of 8 MI300X GPUs is ~$112k, not $320k. You just made my point. omg, now you're inexplicably talking about the mi300x. WHY? WHAT YEAR IS IT?
A rack of 8 MI300X GPUs is \~$112k, not $320k. You just made my point. 8x MI300X @ $14k each = $112k 8x H200 @ $40k+ each = $320k+ You're paying $200k+ more for less memory per card. That's the entire thesis. When hyperscalers are spending $30B on infrastructure, saving $200k per rack adds up fast. The $1.2B in supercomputer contracts proves AMD can execute at exascale for AI. The business case is hyperscalers seeing that execution and adopting the same architecture at massive scale with 3x cost savings. You keep saying "focus on GPUs not CPUs" while missing that AMD sells both sides at better economics. NVIDIA can't offer that without partnering. Newsflash - you can't have an AI server without both a CPU and GPU. You need a CPU for any computer. AMD makes both and has better TCO than Intel or NVIDIA. Thank you for this. What a lay up.
The H100 being 3 years old and still used proves Burry's depreciation point, not refutes it. Companies are depreciating these over 5-6 years while economic value erodes faster. But here's what you're missing: AMD's generational leaps blow NVIDIA's out of the water. MI200 to MI300X: 3.4x performance jump H100 to H200: 1.05-1.1x improvement And looking forward to 2026: MI400: 432GB HBM4 at 19.6 TB/s NVIDIA B300: 288GB HBM3e at 8 TB/s AMD has 1.5x more memory and 2.45x more bandwidth than NVIDIA's next-gen chip. Both shipping in 2026. AMD had the performance advantage with MI300X but nobody wanted to deal with ROCm immaturity. Now ROCm is maturing, MI400 is coming with specs that destroy B300, and the software excuse is disappearing. NVIDIA's been iterating incrementally while coasting on CUDA. AMD's been making generational leaps. Once the software gap closes, the hardware advantage becomes undeniable. Argue some more. You're showing the thread how dumb you are.
Fair correction on MI300A - it's an APU, not a discrete GPU like MI300X. I should've been more precise. But that doesn't change the core point: AMD delivered integrated CPU+GPU solutions (whether you call it APU or discrete) that beat NVIDIA in competitive evaluations for El Capitan and Frontier - $1.2B in contracts for exascale AI workloads. And yes, NVIDIA has Grace now - another fair point. The thesis isn't about semantic distinctions between APU and GPU. It's about AMD being competitive across the full stack (EPYC + Instinct MI300X/MI400) at a 3-4x cost advantage. When MI400 ships with 432GB HBM4 and hyperscalers are deciding where to spend $30B, the integrated offering + cost differential matters more than whether one product is technically an APU. You've pointed out technical imprecisions. Cool. None of it refutes that MI400 specs are competitive, ROCm gap is closing, cost advantage is real, and the EPYC playbook worked once already.
Fair question. Let me ground this in what actually happened with Intel/AMD: Intel during AMD's EPYC takeover (2017-2025): * Market share: Went from 99%+ server share (2017) to 72.7% (Q2 2025) * Stock performance: -15.45% total return over 5 years vs AMD's 53.30% annualized * Intel didn't die - they're still generating revenue. But shareholders got crushed as margins compressed and growth stalled. My NVDA valuation thesis follows the same pattern: NVDA current: \~$187, 47x forward PE, 73% gross margins If AMD takes 15-20 points of share by 2027 (same cadence as EPYC), NVDA's margins compress to 68-70% and PE contracts to 35-40x. That puts fair value around $130-145. Not collapse - just repricing as the monopoly breaks. AMD current: \~$215, 22x forward PE, 35% projected CAGR If MI400 executes like Milan/Genoa did, AMD continues scaling from here as GPU revenue accelerates and margins expand toward NVDA levels (still lower, but closing the gap). The trade: Long AMD from $116 (now \~$215, up 85%). Adding NVDA Jan 2027 $180 puts ($26.65 premium, breakeven at $153.35) betting on margin compression repricing the stock to $130-145 range. That's 50-88% return on the puts if the thesis plays out. The thesis isn't "NVDA goes to zero." It's that AMD starts growing faster in NVDA's core market, margins compress, and NVDA reprices lower even while revenue grows. Intel's still alive - their shareholders just wish they'd rotated earlier. What's your take on fair value?
Fair points on ROCm - it's still catching up, no question. But the gap is closing faster than people think. PyTorch has official ROCm support now, and Meta/Microsoft are already deploying MI300X at scale for inference. At the very least it's being integrated and considered by players that once stood by NVIDIA. That's enough for me to see the value. Basically ROCm sucks until it doesn't, and it's getting closer to not being shit every day. On the RAM modules: MI400 is coming with 432GB HBM4 at 19.6 TB/s bandwidth. If NVIDIA's pluggable RAM strategy works, great for them - but AMD's already shipping competitive memory specs on integrated packages. The question is cost and time-to-market. Your 40/40/20 split is actually pretty reasonable for risk management. I'm more concentrated (heavy AMD, short NVDA) because I think the 2026-2027 window is the inflection point, but I respect the diversified approach. The CUDA moat is real. I'm just betting that when CFOs are looking at $30B infrastructure budgets and ROCm is "good enough" for most workloads, the 4x cost gap becomes impossible to justify. Same thing happened with EPYC - Intel's ecosystem was "better" until the economics forced adoption. Appreciate the thoughtful take instead of just "AI FUD" dismissal.
An APU is an Accelerated Processing Unit - CPU and GPU integrated on one die. The MI300A has 24 Zen 4 CPU cores AND CDNA 3 GPU compute cores. That's the whole point - it's both. You said it's "cpu. not gpu, not ai" which is factually wrong. On earnings vs revenue: Supercomputers prove AMD can execute integrated CPU+GPU at exascale for AI workloads. The business case isn't selling to national labs - it's that hyperscalers see El Capitan and Frontier running exascale AI and adopt the same architecture. These are reference deployments, not the revenue model. On the 4:1 ratio: You're proving my point. NVIDIA can only sell the GPU side. AMD sells both sides of that equation. When a hyperscaler spends $30B building infrastructure, having one vendor for the entire stack (CPU + GPU) at 1/4 the GPU cost is a massive competitive advantage. NVIDIA has to partner with CPU vendors (hence the Intel deal). AMD doesn't. You keep saying I don't know what I'm talking about while demonstrating you don't know what an APU is. I'm good here.
MI300A is an APU - it's CPU and GPU integrated on one package. Specifically designed for AI/HPC convergence workloads. You just said it's "cpu. not gpu, not ai" which shows you have no idea what you're talking about. From AMD's own specs: MI300A combines 24 Zen 4 CPU cores with CDNA 3 GPU compute. It's literally the integrated AI accelerator that powers both El Capitan and Frontier for mixed AI/simulation workloads. On supercomputer revenue: You're missing the forest for the trees. These systems prove AMD can execute integrated CPU+GPU at exascale for AI workloads. The revenue isn't in selling to national labs - it's in hyperscalers adopting the same architecture for their data centers. El Capitan and Frontier are the proof of concept for enterprise deployment. On CPU ratio: 4:1 GPU to CPU doesn't mean CPUs don't matter - it means you need both. AMD is the only vendor competitive on both sides. NVIDIA has to partner for CPUs (hence the Intel deal). That's the integrated advantage. But sure, keep telling me the MI300A is "just a CPU."
Hold up. You said supercomputers "don't amount to much" and there's "no money there." El Capitan is the world's fastest supercomputer, powered entirely by AMD EPYC CPUs and Instinct MI300A GPUs [AMD ROCm](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/install/3rd-party/pytorch-install.html). LLNL explicitly states that El Capitan allows them to integrate AI with traditional simulation and modeling workloads, opening new avenues for discovery across scientific disciplines [AMD ROCm](https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/pytorch-compatibility.html). Frontier, the second fastest supercomputer in the world, is also powered by AMD EPYC CPUs and AMD Instinct GPUs, and continues to enable researchers to tackle complex problems from climate modeling to training large language models [AMD ROCm](https://rocm.docs.amd.com/en/latest/compatibility/ml-compatibility/pytorch-compatibility.html). These aren't just academic toys. They're exascale AI/HPC hybrid systems - proof AMD can deliver integrated CPU+GPU solutions at the absolute bleeding edge of AI infrastructure. When hyperscalers build data centers, they're building the same architecture, just distributed differently. You can't build an AI server without CPUs. AMD is the only vendor offering best-in-class on both sides. NVIDIA has to partner for CPUs. Intel can't compete on GPUs. That integrated advantage is the whole thesis. If you think CPUs don't matter in this discussion, you fundamentally misunderstand how AI infrastructure gets deployed.
Finally someone who gets it. Fair points. ROCm still has rough edges, no question. But it's closing faster than people think - PyTorch has official ROCm builds now, Meta and Microsoft are already deploying MI300X at scale for inference. That's not experimental, that's production. You're right that NVIDIA isn't asleep like Intel was. But Intel also wasn't sitting still - they just got outflanked on chiplet architecture and economics. NVIDIA's moat is software, but when hyperscalers are spending $30B+ on infrastructure, the 4x cost gap becomes impossible to ignore. CFOs will force the ROCm investment. On timeline - MI300X is gen 3. MI400 is gen 4. EPYC didn't dominate until Milan (gen 3) and Genoa (gen 4). Same generational cadence. People said the exact same shit about EPYC. "Intel's ecosystem is too entrenched." "Enterprise won't trust AMD's roadmap." "Software compatibility doesn't matter if nobody uses it." Naples got laughed out of the room. Rome was "interesting but not ready." Then Milan shipped, delivered on every promise, and adoption happened fast once enterprises saw AMD could execute. AMD proved they can execute a multi-generation comeback against an entrenched incumbent. Discrediting that same playbook on GPUs is the mistake. They did it once. They're doing it again.
I hear you on training vs inference. But look at what's coming with MI400 in 2026 - specs show 2x the compute of MI350, 432GB HBM4 at 19.6 TB/s bandwidth, positioned directly against NVIDIA's Rubin with comparable performance. Obviously these are engineering projections, not shipping benchmarks yet. But if the specs hold up anywhere close to AMD's claims, it's not just competitive on inference anymore - it's closing the training gap hard while keeping the cost advantage. Here's what people miss: AMD powers El Capitan and Frontier - the top 2 supercomputers in the world. They make both the CPUs and GPUs. NVIDIA is stuck on one side (GPUs), Intel is bleeding out on the other (CPUs, literally fighting off a government bailout). Intel's so desperate they're partnering with NVIDIA just to stay relevant. AMD already proved they can execute on both fronts. MI300X was proof of concept. MI400 is where they go toe-to-toe across the board at 1/4 the cost. Same playbook that killed Intel's server dominance. NVIDIA's next.
This is actually a solid thesis but I think you're being way too generous on the timeline here. ROCm is still hot garbage compared to CUDA and anyone who's actually tried to run ML workloads on AMD knows it's a pain in the ass The EPYC comparison is interesting but CPUs are way different from the AI accelerator market. Intel was literally asleep at the wheel for years while AMD was catching up. NVIDIA is actively investing billions into their moat That said, your depreciation point is spot on and those MI400 benchmarks could be spicy if they deliver
I get the CUDA stickiness point, but I think the ARM comparison doesn't really work here. ARM's problem isn't just software - it's architecture, thermals, whole different ecosystems. The AMD vs Intel story is actually the better comparison for CUDA vs ROCm. ROCm is further along than people think. PyTorch and TensorFlow have official ROCm support now. HIP does automated CUDA porting for most stuff. Meta and Microsoft are already using MI300X in production for inference. That's not beta testing - that's real deployment. Yeah, there's friction with debugging and optimization. But EPYC had the same complaints. Everyone said "x86 compatibility doesn't matter if nobody trusts it yet." AMD proved that ecosystem trust builds fast when the value prop is strong enough. The 4x price gap is massive. Intel was never 4x more expensive than AMD. If you're Meta dropping $30B on infrastructure, even spending 6 months porting workloads pays for itself immediately when you're getting similar performance at 1/4 the cost. TPUs are a risk, sure. But Google can't sell them to competitors. Trainium is still early. Custom silicon takes years to iterate on. AMD is the only commercial alternative to NVIDIA that's actually shipping at scale right now. I'm not saying CUDA vanishes. I'm saying 2026-2027 is when ROCm hits the "good enough" inflection point, same way EPYC became default by Milan (gen 3). It's not about if AMD takes share - it's about how fast.
I think you'll be fine, hopefully the worse of the pullback is done now and we pump in 2026 once those MI450s start getting deployed
Yes, https://finance.yahoo.com/news/renewal-fuels-inc-announces-execution-133000305.html?guccounter=1&guce_referrer=aHR0cHM6Ly9sb2dpbi55YWhvby5jb20v&guce_referrer_sig=AQAAAG6rtB9gScxmkNmJ-iqMRqK9wQUhxd16YUzS4MI1_FtkYRXG4Tg82q620xVn4s6bE4Zr-gzHR5NN6nYI3Vr2inEPVNqledhWWBcSAPM4dXtNSdkwg6wn6bACFUh3oAg2vS7FER8d2RH1Sml75xDo_YyU5Q3woYT_jc7Fw_S84V9O
Dude just read the ERs and breakdown of sales, and understand doesnt matter NVDA AMD GOOGLE, they all buying memory and huge amounts, and this only gets worse 26Q3 when MVDA release GB400 and AMD MI450 and why they need HBM4 memory. Also HBM350 sold out, sk hynix raised prices with Samsung for HBM memory, MU did not announce how much they hiked but they followed suite. Just invest in it dude you put in 5k if thats what you invest in a bet. Do your research and consider that low risk, predictable outcomes is so nice, with good chances of upswing. Again, if you dont know how to gauage/compare companies and ERs, stick to the basics: - PE - FWD PE - Operating margins - PEG
$NVDA, $AMD >[https://www.reuters.com/world/china/nvidia-aims-begin-h200-chip-shipments-china-by-mid-february-sources-say-2025-12-22/](https://www.reuters.com/world/china/nvidia-aims-begin-h200-chip-shipments-china-by-mid-february-sources-say-2025-12-22/) >**Exclusive: Nvidia aims to begin H200 chip shipments to China by mid-February, sources say** >Nvidia has told Chinese clients it aims to start shipping its second-most powerful AI chips to China before the Lunar New Year holiday in mid-February, three people familiar with the matter told Reuters. >The U.S. chipmaker plans to fulfil initial orders from existing stock, with shipments expected to total about 40,000-80,000 H200 AI chips. > >[https://www.mlex.com/mlex/articles/2424504/amd-nears-china-rollout-of-ai-chip-as-alibaba-weighs-major-order](https://www.mlex.com/mlex/articles/2424504/amd-nears-china-rollout-of-ai-chip-as-alibaba-weighs-major-order) >**AMD nears China rollout of AI chip as Alibaba weighs major order** >AMD’s China-compliant MI308 AI accelerator is nearing commercial rollout, with Chinese technology companies and cloud-service providers weighing orders. >Alibaba Group plans to buy about 40,000-50,000 of AMD’s MI308 accelerators.
Industrial robotics and tech: SYM, UBER, AMZN, MU, AMD, U. Some EU tickers are very discounted too: [AIXA.DE](http://AIXA.DE), [SY1.DE](http://SY1.DE), [SHL.DE](http://SHL.DE), [UNA.AS](http://UNA.AS), WOSB.DE. Some are up but positioned to do well in lower rates: [DBK.DE](http://DBK.DE), [DHL.DE](http://DHL.DE), PST.MI.
> Advanced Micro Devices CEO Lisa Su on Thursday said the company has licenses to ship some of its MI 308 chips to China and is prepared to pay a 15% tax to the U.S. government if it ships them. I presume this will move quickly if it is already in accordance with what the U.S. government has authorized. Potentially bullish for AMD, but watch out for whiplash if a new Truth Social post arrives reversing the approval for sale….
China will buy even more AMD MI400s than NVDA H200s. They know how to make more with less, their country is built on that philosophy.
What have you not learned from “not enough compute” or “diversification of GPUs” or that Open AI has worked with AMD to design the MI 400 series chips. With all these big deals being announced from open ai and Oracle to buy AMDs 400 series chips you really think the market has priced all that growth in. Maybe you didn’t hear Lisa Su correctly on analyst day “35% CAGR” for the next 5 years. So no Broadcom is not the better buy because it looks like a lot more is priced into their stock.
Selling AMD right when they're gaining serious data center traction with MI300 to chase a Broadcom dip feels like backwards timing. Both can win in different segments, you don't need to go all in on one
**SNDL Inc – Long-Term Bull Thesis (3–7 yrs) | NASDAQ: SNDL** * Market Cap: \~$536M | Cash: \~$178M | Debt: $0 | FCF 2025: \~$35–40M, projected $50M+ (2026) * Canadian ops: liquor (Ace Liquor, Liquor Depot, Wine & Beyond) + cannabis retail (Spiritleaf → Value Buds) + cannabis cultivation/production → stable cash flow * U.S. optionality via SunStream USA: \~$260M convertible debt → equity in FL, TX, MI, MA, NM → Top-5 North American MSO potential if federal legalization (Schedule III) occurs * 2025 revenue: $723M USD; Gross Margin \~26%; owner earnings \~$40–45M * Valuation: DCF & SOTP suggest $4–6/share vs current \~$2.10 → \~2–3x upside * Catalysts: U.S. federal rescheduling (removes 280E), SunStream conversions, Canadian consolidation, margin expansion via Indiva/private-label products * Capital Allocation: share buybacks $120–150M, Canadian tuck-ins $40–80M, U.S. roll-up via SunStream $150–300M **Bottom Line:** FCF-positive, cash-rich, undervalued Canadian retailer with embedded U.S. MSO optionality → asymmetric 3–7 yr upside.
another data center in MI you say?
financing of ORCL data center in MI thru Blue Owl fell thru
AMD shares offer is valid under very specific conditions - > As part of the arrangement, AMD issued a warrant that gives OpenAI the ability to buy up to 160 million shares of AMD for 1 cent each over the course of the chip deal. The warrant vests in tranches based on milestones that the two companies have agreed on. > The first tranche will vest after the initial shipment of MI450 chips set for the second half of 2026. The remaining milestones include specific AMD stock price targets that escalate to $600 a share for the final installment of stock to unlock.
Unsupervised...is this like the supposed non remote teslabot that removed the headset it didn't have on then fell over? Elon is notorious for selling vaporware. Tesla solar is all but defunct, boring company didn't produce what was promised, they are not producing 2m cars per year, and fsd was promised over 10 years ago. Match that with his bullshit doge charades, nazi salute, paying actors to pretend they won money for voting and his ketamine binge... He's gifted as a visionary, but he's a crock of shit too. He promised to pay to end world hunger if they produced open sourced evidence, they did, he ignored it all. He promised to pay to change all of flint MI lead pipes never did. He's not a good person. He had so much potential to lead science into the future, but then he jumped on board with a bunch of science denying theocrats. While i have made money with tesla investing, I divested. Im not interested in being ridden like a horse by a narcissistic asshole, even if he does make me a bunch of money. I have my morals.
You gotta say Trump in this case but I agree haha The broader GOP resistance is a challenge to important state reform (FL, PA, TX) and federal change congress is needed for (Safer). Biden dropped the ball, but Democrats are better for legalization and reform even with some horrible tax / other issues (CA and MI)
AMD is more expensive than NVDA and they've sold their soul to Sam Altman just for the privilege to use their MI450s late 2026. Not worth the risk.
Are you in the north east? Every single mature cannabis market in the nation is seeing massive price compression. Like 20-30% declines YoY in every major category. MI, AZ, CO, CA, OR, WA…. And the progressions have been very similar. In some states, it’s not even just declining dollar sales, unit sales are also decline which shows deeper cracks in long term demand than just falling prices. This isn’t an opinion, this is what the data shows all over the country.
Also, at this point in time, Holtec, working with the Fed has successfully recommissioned the Palisade Nuclear plant located in South Haven, MI. This is huge! It's the first time in History this has ever been done.
AMD doesn’t need to beat NVIDIA — it just needs to keep winning enterprise + inference demand as AI adoption spreads. MI300 revenue ramp is early, and earnings will grow into the valuation. If you have patience, it’s still a buy.
[Nvidia AI Chips to Undergo Unusual U.S. Security Review Before Export to China...](https://www.wsj.com/tech/ai/nvidia-ai-chips-to-undergo-unusual-u-s-security-review-before-export-to-china-5e73cd55?gaa_at=eafs&gaa_n=AWEtsqcZx4EBRLxqg0rZk4qVP-TZ3KRUK6J49tVhHhI7a98FTXdQEYJVw2vMwiiC5x0%3D&gaa_ts=69387ec8&gaa_sig=EucYcMFzdfjV15gvD0rPqOfdEAEdnJo3_sCkBH39tWeCU8MI4daN_C2EuR8_OOFoUuamVfT2FNCFejgtZvsKeg%3D%3D)
I only care about MI and that went in the garbage too with the last couple of movies.
$AMD # AMD's Lisa Su dismisses AI-bubble talk while it prepares taxed MI308 exports to China [https://www.digitimes.com/news/a20251205PD220/amd-lisa-su-ai-demand.html](https://www.digitimes.com/news/a20251205PD220/amd-lisa-su-ai-demand.html)
I want them to buy Paramount next and have them admit the last two MI movies are bad fanfics lmao
AI is hungry for more GB per unit. The reason isn't just "larger models." It's to reduce the "communication tax." If a model fits entirely on one GPU's memory (or fewer GPUs), it runs drastically faster because it doesn't have to waste time talking to other chips over cables. * 2025: HBM3/HBM3E **80GB to 192GB** * 2026: HBM4, capacities will effectively triple. * Nvidia Rubin (R100): Expected to feature **288GB – 512GB** of memory per chip. * AMD Instinct MI400: Forecasts suggest it could pack \~**432GB** per GPU. * 2027: HBM4e * "Ultra" Variants: We are likely to see single AI units with **1TB (1024GB)** of high-speed memory. * 2030: ? >2TB? * "Unified Memory" becomes standard; RAM/VRAM distinction blurs.
MI genuinely think I have cancer, I've been feeling a lot of fatigue, it was nice knowing you all, goodbye. folks
OpenAI got themselves a pretty sweet deal from AMD with 10% ownership of the company for deploying their next gen rack scale MI450 product with scale up and scale out networking to match Nvidia. So I wouldn’t say totally outgunned on hardware.
>Key Events This Week: 1. November ISM Manufacturing PMI data - Monday 2. September JOLTS Job Openings data - Tuesday 3. November ADP Nonfarm Employment data - Wednesday 4. November S&P Global Services PMI data - Wednesday 5. November ISM Non-Manufacturing PMI data - Wednesday 6. Initial Jobless Claims data - Thursday 7. September PCE Inflation data - Friday 8. December MI Consumer Sentiment data - Friday The final month of 2025 has arrived.
If we're being 100 percent honest here, only the biggest morons in the world at the time would have followed his advice. I know because I was eating shrooms and acid and ecstasy and smoking as much weed as possible outside of Detroit, MI in the 2000s and KNEW that screaming idiot everyone said was a financial genius was clearly not a financial genius lol
AMD should 4-5X in 5 years, and continue to compound. The hunger for compute keeps growing- AMD is the new Intel- this cycle should run at least 10 years. They make the processors and GPUS that use open source software. Everyone wants the MI450s. T product is good, but in the past 2 years, they made acquisitions and huge R&D investments.The chance of a surprise to the upside is big with new products and the downside risk is low.
[Quantum computing will make cryptography obsolete. But computer scientists are working to make them unhackable.](https://www.msn.com/en-gb/money/technology/quantum-computing-will-make-cryptography-obsolete-but-computer-scientists-are-working-to-make-them-unhackable/ar-AA1Qt9MI)
AMD. if they execute on MI450/500 it'll fly.
AMD is at the beginning of their data center growth curve, their first competitive AI data center chips, the MI450 are launching this year. NVDA is at a more mature part of their growth curve. AMD market cap is less than 10% the size at 350bn market cap vs Nvidia at 4.3trillion. Much easier to move the market cap
last gen products are effectively irrelevant. Cost of ownership and efficiency is very far behind Blackwell and MI355. In non frontier models B300 is still well ahead of mi355. https://inferencemax.semianalysis.com/
I guess AMD doesn't really have a good answer to the GB200 but that's like a million dollar unit. I'm talking more h100's vs MI300X
TPUs shine for big, steady transformer jobs you control end to end, but GPUs win on flexibility and time to ship. Most stacks are PyTorch/CUDA; JAX/XLA on TPU is fast but porting hurts, and custom kernels/MoE/vision still favor H100/L40S or MI300. v5e/v5p are great perf/watt for int8/bfloat16 dense matmuls, less so for mixed workloads. On-prem TPUs are rare; independents buy GPUs because drivers, support, and resale, while trading shops with tight regs sometimes get TPU pods via Google. Practical play: rent TPUs on GCP for batch training, keep inference on GPUs with TensorRT-LLM or vLLM. We use vLLM and Grafana, and DreamFactory just fronts Postgres as a REST API so models pull features without DB creds. Net: TPUs for fixed scale, GPUs for versatility.
it’s the natural progression of any market where returns far exceed the cost of capital. $NVDA surfed this wave almost alone for years: extremely high margins, massive demand and virtually *no competition*. That kind of economic profile always attracts new entrants. Michael Porter said this 45 years ago... We’re already seeing credible threats emerging: $AMD with MI300, $GOOGL with TPU v5 and others building in-house accelerators. that said, I still think Nvidia will remain as the dominant leader. But over the next few years, a few players will inevitably start taking small slices of the pie.
it’s the natural progression of any market where returns far exceed the cost of capital. $NVDA surfed this wave almost alone for years: extremely high margins, massive demand and virtually *no competition*. That kind of economic profile always attracts new entrants. Michael Porter said this 45 years ago... We’re already seeing credible threats emerging: $AMD with MI300, $GOOGL with TPU v5 and others building in-house accelerators. that said, I still think Nvidia will remain as the dominant leader. But over the next few years, a few players will inevitably start taking small slices of the pie.
it’s the natural progression of any market where returns far exceed the cost of capital. $NVDA surfed this wave almost alone for years: extremely high margins, massive demand and virtually *no competition*. That kind of economic profile always attracts new entrants. Michael Porter said this 45 years ago... We’re already seeing credible threats emerging: $AMD with MI300, $GOOGL with TPU v5 and others building in-house accelerators. that said, I still think Nvidia will remain as the dominant leader. But over the next few years, a few players will inevitably start taking small slices of the pie.
It’s the natural progression of any market where returns far exceed the cost of capital. $NVDA surfed this wave almost alone for years: extremely high margins, massive demand and virtually *no competition*. That kind of economic profile always attracts new entrants. Michael Porter said this 45 years ago... We’re already seeing credible threats emerging: $AMD with MI300, $GOOGL with TPU v5 and others building in-house accelerators. That said, I still think Nvidia will remain as the dominant leader. But over the next few years, a few players will inevitably start taking small slices of the pie.
>it means a genuine alternative to Nvidia that can be cheaper than nvdia chips You literally just described the MI450
Is your thesis buy INTC or sell AMD? Because your sell AMD points kinda suck. You used a December 2024 article about AMZN not being able to rent out last gen AMD chips via AWS. >They are only competing with other inference chips. Uh yeah, that's the thesis that Sam Altman stated with OpenAIs gameplan for tackling the expected bump in token usage. >The only demand for AMD GPUs is from a deal with OpenAI. And META and ORCL, via the Helios rack and the MI4500 "supercluster" respectively. Link: AMD Stock Has Ample Room to Rise, Say Analysts. Thank Oracle and Meta.: https://www.barrons.com/articles/amd-stock-price-target-increase-746d3819
Slb acquired MI, FMC, SMITH, CHAMPIONX, all at peak valuation and has been writing down on goodwill ever since. SLB Sold their US frac business to LIBERTY to go asset light but since that sale liberty has gone up nearly 80% and added to their top and bottom line. SLB has incompetent management and decision makers.
That is what people have been saying for two years. Where is any of the competition? The closest is AMD and they’ve completely dropped the ball. How far Sue Bae has fallen from being the golden child. They couldn’t even sell full capacity of the MI300X last year. They reduced supply in Q2.
Iren, nbis, cifr, Coreweave not **that** popular Iren (Australia) - Financial Services - it's considered a poor stock right now mediocre profitability note that it's only been profitable 1 out of the past ten years - big fat red flag good growth it's got a few severe problems and the valuation is insanely overvalued - 97% of people would have sold it off in the past two months Iren is a $10 stock, currently at $46 dollars 474% overvalued a few weeks ago And a high risk company - most definately and gross margins are declining Not a lot of analysis on it but 12 analysts and some of them are thinking 67% growth in the next year which has happened in the past month **Iren is a bit of a freaky pick like Rolls-Royce,** high-risk and massively overvalued yet people keep driving the price up, but at least Iren has a instant and massive peak where Rolls only seems to move massively when there's like a 10% improvement in growth a third of the time. It doesn't decline, but when it does 3 or more years from now, it'll be news. Iren for the life of me I don't understand the big interest in it, and why some feel it's going to keep going high eventually though with a couple of spikes. fascinating stock though! low-cost renewable energy in Australia and then went from bitcoin mining to AI and datacenters **so weird** Pivot to AI and Cloud Services: The company's transition from the volatile crypto mining sector to the high-demand AI infrastructure market has been the primary driver of investor enthusiasm. Massive AI Contracts: IREN has secured significant, multi-year contracts with major tech companies Acquisition of High-Demand GPUs: IREN has made large purchases of Nvidia and AMD GPUs (Graphics Processing Units), such as the H100s, B200s, and MI350Xs, to build out its AI cloud capacity Strong Investor Sentiment and Analyst Ratings: News of major partnerships, increased revenue projections, and capacity expansions have led to a surge in positive market sentiment, high-volume trading, and numerous price target upgrades from Wall Street analysts, many of whom rate the stock as a "Buy". Hybrid Business Model: The company's unique blend of existing, profitable Bitcoin mining operations (which generate cash to fund AI expansion) and its growing AI Cloud segment offers a unique value proposition and a path to more stable, high-margin revenue streams. it's crazy but it's interesting like some circus freak show, bitcoin meets Data Centers like Coinbase meets NTT Data of Japan
My comment wasn’t clear enough tbf, TCO isn’t really about being a budget option, TCO is also related to price/performance. Ofc, you can reduce TCO by just making it shitter. what MI450 has is performance & TCO. They are likely beating NVDA in things like tokens/$. TCO itself doesn’t really matter on its own. People would be happier to pay more for AMD if performance scales too, for example. Also VR & MI450 are closely matched in price. I think VR will cost only about 15-20% more
yeah that’s not true at all, MI450 looks to be competitive at all levels and Lisa said pretty confidently it will be the most performant solution available at launch. TCO advantage is what everyone is striving for, NVDA will keep market share purely due to CUDA, and that moat is shrinking quickly
What's frustrating is they have big dividends...then they ask for their money back in a dilution...very inefficient. Now management claims they're kind of done with dilutions and can finance future expansions with cash on hand and retained earnings...fingers crossed they are right. Otherwise $AEP is a nice company. It has a dividend yield of 3.1% and will likely have a CAGR of 7% in the next five years. High depreciation is covering up their real earnings. They own power plants in many states including key data center states TX, VA, OH, MI, TN, IN. I think they could grow faster than expected. The stock is up 20% since June...so some of the upside might be priced in.
Where are the GPU sales ? The Datacenter sales growth of 22% includes EPYC server CPU sales. Time for a reality check for AMD GPU story. MI355X is a flop based on these numbers. As expected, Lisa Su will promise bright future for next release of GPUs.
AMD Reports Third Quarter 2025 Financial Results AMD today announced financial results for the third quarter of 2025. Third quarter revenue was a record $9.2 billion, gross margin was 52%, operating income was $1.3 billion, net income was $1.2 billion and diluted earnings per share was $0.75. On a non-GAAP ( \*) basis, gross margin was 54%, operating income was $2.2 billion, net income was $2 billion and diluted earnings per share was $1.20. Our third quarter results did not include any revenue from shipments of AMD Instinct™ MI308 GPU products to China. "We delivered an outstanding quarter, with record revenue and profitability reflecting broad based demand for our high-performance EPYC and Ryzen processors and Instinct AI accelerators," said Dr. Lisa Su, AMD chair and CEO. "Our record third quarter performance and strong fourth quarter guidance marks a clear step up in our growth trajectory as our expanding compute franchise and rapidly scaling data center AI business drive significant revenue and earnings growth." “We delivered record quarterly revenue of $9.2 billion, up 36% year-over-year, and generated record free cash flow, reflecting the strength of our leadership portfolio and disciplined execution,” said Jean Hu, AMD executive vice president, chief financial officer and treasurer. “Our continued investments in AI and high-performance computing are driving significant growth and position AMD to deliver long-term value creation.”
AMD today announced financial results for the third quarter of 2025. Third quarter revenue was a record $9.2 billion, gross margin was 52%, operating income was $1.3 billion, net income was $1.2 billion and diluted earnings per share was $0.75. On a non-GAAP(\*) basis, gross margin was 54%, operating income was $2.2 billion, net income was $2 billion and diluted earnings per share was $1.20. Our third quarter results did not include any revenue from shipments of AMD Instinct™ MI308 GPU products to China.
$AMD | Advanced Micro Devices Q3’25 Earnings Highlights 🔹 Revenue: $9.25B (Est. $8.74B) 🟢; UP +36% YoY; +20% QoQ 🔹 Adj. EPS: $1.20 (Est. $1.17) 🟢; UP +30% YoY 🔹 CapEx: $258M (Est. $220M) 🔴 Q4’25 Guidance 🔹 Revenue: $9.3B–$9.9B (Est. $9.21B) 🟢; +25% YoY 🔹 Adj. Gross Margin: ~54.5% (Est. 54.5%) 🟢 🔹 Outlook doesn't include China MI308 shipment revenue Segment Highlights 🔹 Data Center: $4.3B; UP +22% YoY (strong EPYC & Instinct demand) 🔹 Client + Gaming: $4.0B; UP +73% YoY (record Ryzen, +181% Gaming) 🔹 Embedded: $857M; DOWN -8% YoY Other Metrics: 🔹 Adj. Operating Income: $2.24B (Est. $2.15B) 🟢; UP +30% YoY 🔹 Adj. Operating Margin: 24% (Est. 24.8%) 🟡 🔹 Adj. Gross Margin: 54%; Flat YoY Key Updates 🔹 Record quarterly revenue and free cash flow; no China GPU shipments included 🔹 New AI and compute partnerships: OpenAI (6GW GPU cluster), Oracle, Cisco, IBM, G42, Vultr, DigitalOcean 🔹 Introduced Helios rack-scale design and ROCm 7 software 🔹 Expanded Ryzen, EPYC, and Instinct product portfolios CEO Commentary – Dr. Lisa Su 🔸 “We delivered record revenue and profitability with broad-based demand across EPYC, Ryzen, and Instinct AI products.” 🔸 “Our strong Q4 outlook marks a clear step up in our growth trajectory as our compute and AI businesses scale rapidly.” CFO Commentary – Jean Hu 🔸 “Record free cash flow and disciplined execution reflect the strength of our leadership portfolio.” 🔸 “Investments in AI and high-performance computing are driving long-term growth and value creation.”
Again, your claim that BMI is a measure of heart attack risk is wrong. That Reddit thread even has doctors making my point that BMI needs to be paired with other factors like waist circumference etc. From the conclusion of the journal article "Waist‐to‐hip ratio was more strongly associated with the risk of MI than body mass index in both sexes, especially in women." So the journal you scourced says BMI isn't the best way to determine heart attack risk.
That's a naive take on the AMD deal, GPU's are not being given away for free it's a very beneficial deal for AMD and the market reaction reflects that. [For the sake of accuracy:](https://techhq.com/news/amd-openai-partnership-explained/) > The first tranche vests upon the initial one-gigawatt deployment of MI450 chips in the second half of 2026. Additional tranches unlock as purchases scale toward the full six-gigawatt commitment. Vesting is further contingent on AMD achieving escalating share-price targets, with the final instalment requiring AMD stock to reach US$600 per share, as well as OpenAI meeting technical and commercial milestones that enable AMD deployments at scale.
I can't help but applaud anyone looking at the long term in investing. After all, it's what brought me to buy NVDA 21 years ago, when they started plowing investment into CUDA and Jensen articulated his long-term vision - he and I both anticipated that parallel compute would have primary application in video-related tasks, such as real-time object recognition... turned out to be true, but not the real ("killer app"). But all I can say is that my journey with NVDA, while arriving at a VERY happy place, was a hard road with lots of bumps along the way before the vision started to materially realize. Most prominantly the 80% drop 2007-2009, and then taking eight years (2105) before NVDA even briefly touched that 2007 high again. That probably won't ever happen to Alphabet, they are too big and diversified right now, but I'd caution you, even if they end up having the uncontested success in quantum that parallels what NVDA has achieved with parallel compute, you are not going to have anything remotely close to returns we've seen in NVDA, because GOOG is already a vastly larger company than they were at the start of their visionary investment (law of big numbers), and I think you are missing that processors are only half the equation for NVDA, the other half if consistent, steady, and big investment in CUDA for over 20 years, to the point they can not only deliver exclusive dominance in hardware performance, but ALSO human capital productivity (CUDA is the de facto standard platform for AI now, and it is optimized for NVDA hardware features, further boosting the performance edge ... I kinda chuckle when I hear investors gobble up what Lisa Su says about MI450 raw performance possibly matching Rubin on some metrics, but I see very, very few people acknowledge that CUDA vs ROCm remains a significant mismatch)
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I think it is widely expected that Trump is meeting with Xi tomorrow and will report/announce that tariff on China will drop 10%, and they have come to a deal on minerals / future investment / opening market for NVDA/AMD Blackwell+MI350+ chips / reduced shipping lane fees / etc... So, your best bet is that, he blows up the deal (unlikely) and announces the Nov 1st tariff 100% increase is going through. Good luck sir! You will need it.