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AMD will bring its “Ryzen AI” processors to standard desktop PCs for first time
- cebert 8mo agoAMD marketing is hoping the “AI” branding is a positive. Antidotally, I know many consumers who are not sold on AI. This branding could actually hurt sales.
- himata4113 8mo agoI'd actually love to have an NPU that isn't useless on my 285k.
- aljgz 8mo agoWe are dealing with a hype, but the reality is that AI would change everything we do. Local models will start being helpful in [more] unobtrusive ways. Machines with decent local NPUs would be usable for longer before they feel too slow.
- wood_spirit 8mo agoSo I’ve got a lot warmer to believing that AI can be a better programmer than most programmers these days. That is a low bar :). The current approach to AI can definitely change how effective a programmer is: but then it is up to the market to decide if we need so many programmers. The talk about how each company is going to keep all the existing programmers and just expect productivity multipliers is just what execs are currently telling programmers; that might change when the same is execs are talking to shareholders etc. But does this extrapolate to the current way of doing AI being in normal life in a good way that ends up being popular? The way Microsoft etc is trying to put AI in everything is kinda saying no it isn’t actually what users want. I’d like voice control in my PC or phone. That’s a use for these NPUs. But I imagine it is like AR- what we all want until it arrives and it’s meh.
- snovv_crash 8mo agoWhen I interview people for a job I'm not looking to hire an average programmer, though.
- shiroiuma 8mo agoYou want to hire an above-average programmer, I assume. Do you also pay above-average salaries?
- snovv_crash 8mo agoPeople are not uniform fungible programmers. I want someone who is a specialist and above average at the stuff I'm trying to do. If that specialization commands a higher market rate than average, then yes, that's what they get paid.
- vbezhenar 8mo agoFor some people maybe. I don't want to use local AI and NPU will be dead weight for me. Can't imagine a single task in my workflow that would benefit from AI. It's similar to performance/effiency cores. I don't need power efficiency and I'd actually buy CPU that doesn't make that distinction.
- orbital-decay 8mo agoAlso similar to GPU + CPU on the same die, yet here we are. In a sense, AI is already in every x86 CPU for many years, and you already benefit from using it locally (branch prediction in modern processors is ML-based).
- wtallis 8mo ago> Also similar to GPU + CPU on the same die, yet here we are. I think the overall trend is now moving somewhat away from having the CPU and GPU on one die. Intel's been splitting things up into several chiplets for most of their recent generations of processors, AMD's desktop processors have been putting the iGPU on a different die than the CPU cores for both of the generations that have an iGPU, their high-end mobile part does the same, even NVIDIA has done it that way. Where we still see monolithic SoCs as a single die is mostly smaller, low-power parts used in devices that wouldn't have the power budget for a discrete GPU. But as this article shows, sometimes those mobile parts get packaged for a desktop socket to fill a hole in the product line without designing an entirely new piece of silicon.
- fodkodrasz 8mo agoNever wanted to do high quality voice recognition? No need for face/object detection in near instant speed for your photos, embedding based indexing and RAG for your local documents with free text search where synonyms also work? All locally, real-time, with minimal energy use. That is fine. Most ordinary users can benefit from these very basic use cases which can be accelerated. Guess people also said this for video encoding acceleration, and now they use it on a daily basis for video conferencing, for example.
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- ezst 8mo ago> the reality is that AI would change everything we do Your true believer convictions don't matter here. Those AI accelerators are merely just marketing stunts. They won't help your local inference because they are not general purpose enough for that, they are too weak to be impactful, most people won't ever run local inference because it sucks and is a resource hog most can't afford, and it goes against the interests of those scammy unprofitable corporations who are selling us LLMs as AI as the silver bullet to every problem and got us there in the first place (they are already successful in that, by making computing unaffordable). There's little to no economical and functional meaning to those NPUs.
- otabdeveloper4 8mo ago> most people won't ever run local inference because it sucks and is a resource hog most can't afford a) Local inference for chats sucks. Using LLMs for chatting is stupid though. b) Local inference is cheap if you're not selling a general-purpose chatbot. There's lots of fun stuff you can get with a local LLM that previously wasn't economically possible. Two big ones are gaming (for example, text adventure games or complex board games like Magic the Gathering) and office automation (word processors, excel tables).
- g947o 8mo ago> There's lots of fun stuff Ask your friends or a small business owner if they are going to spend $1k on a new laptop because "there's lots of fun stuff". For office automation, you'll get a lot more mileage with Claude and similar.
- vel0city 8mo ago> Ask your friends or a small business owner if they are going to spend $1k on a new laptop because "there's lots of fun stuff". Do people not buy gaming PCs and game consoles? Isn't that buying something because "there's lots of fun stuff?" And while sure a business owner wouldn't be buying it for "fun stuff", if it was about being able to run the AI tools they want without the business risk of sending your most important data and intellectual property to an AI provider wouldn't some think about it?
- saithound 8mo agoThis is irrelevant when the question is whether marketing your CPU with "AI" will help sales. Toilets also changed everything we do and are helpful in unobtrusive ways, but that won't make the "Ryzen Crapper" a customer favorite.
- g947o 8mo agoYour comment is almost completely irrelevant to what the parent is saying. "AI would change everything we do" has nothing to do with "This new chip along with bloat from Windows enables new workflows for you". If you have been paying attention, you'd know that NPUs from these new CPUs barely made any difference from a consumer's perspective.
- upboundspiral 8mo agoI am bullish on AI being used in all sorts of useful and discreet and non-discreet ways in the present and future. However I am exceedingly skeptical of NPUs being some winning bet. No one is running LLMs on current gen NPUs so if we will in the future its a long time coming. Unless they can demonstrate some real (and not marketing) wins I remain skeptical that a large NPU for LLMs is the future. I can totally see NPU accelerating simple tasks, but to be worth the silicon they have a ways to go imo. 99% of people don't need or want a dev workstation. My travel laptop is 7+ years old and I couldn't tell you the difference between it and a current flagship in terms of browsing and everyday tasks. I will not lie, I find LLMs useful but the desktop experience is pretty polished already. NPUs seem to be an attempt to ride the AI bandwagon with very little to show for it so far.
- Forgeties79 8mo agoI see a lot of people put so much stock in a future of local models, but I am not convinced we’re on track for a world where most people are running local models. Especially when you have companies like Microsoft explicitly trying to make a world people don’t even own their software/hardware anymore and do everything on the cloud.
- skirmish 8mo agoIndeed, I was buying a laptop for my wife, and she was viscerally against "Ryzen AI": I don't want a CPU with builtin AI to spy on my screen all the time!
- kijin 8mo agoThey can just buy a regular Ryzen 9000 series CPU, then. Maybe add a real graphics card if they're into gaming.
- shakna 8mo agoOr hoping to get ahead of the Windows 12 requirements.
- PunchyHamster 8mo agoDoubt it, and competition does the same so not like they are going intel coz of that
- deleted 8mo ago[deleted]
- marcosdumay 8mo agoWell, as long as it's one product of many, they may be able to segment the market and suffer no drawback.
- iso-logi 8mo ago8 Core/16 Thread, boosting up to 5.1GHz with iGPU would be pretty neat for a Plex Server or Proxmox Server with a few VMs.
- zeroflow 8mo agoAs far as I can find, Plex does not support AMD iGPU for transcoding. Jellyfin will work, but support seems rather spotty. For other AI/ML work, it seems like ROCm is up and coming, but support - e.g. for Frigate object detection - is still a work in progress, especially for newer chips.
- shiroiuma 8mo agoI have an AM4 AMD iGPU I use with Jellyfin; it works fine.
- happymellon 8mo agoIs it actually using the iGPU, or just "brute forcing" it? I've put it in quotes as the effort required from these chips for streaming transcoding is so low these days that brute force makes it sound like more effort than it really is.
- Arainach 8mo ago>I've put it in quotes as the effort required from these chips for streaming transcoding is so low these days What's your source for this? Transcoding without acceleration is incredibly expensive, especially for 4K content, and especially for 4K HDR content. Even a single 4K HDR -> 1080p transcode takes a huge amount of resources. The Asustor Lockerstor4 Gen3 has a Quad-Core Ryzen Embedded V3C14 and cannot transcode 4K content. Meanwhile, an old Kaby Lake Intel chip does so just fine but only because its QSV can handle h265.
- happymellon 8mo agoThats interesting. My 5 year old Ryzen laptop can transcode 4k faster than realtime, which is what I mean mean by "these chips". Modern Ryzen, which is what the subject is about. Quick Sync is invaluable for low powered processors, my old Intel embedded Wyze can do several streams.
- Buttons840 8mo agoDo we expect special AI processors to diverge from GPUs? Like, processors that can do parallel neural network computations but cannot draw graphics?
- dagmx 8mo agoThat’s already the norm no? Pretty much every hardware vendor has an NPU
- c0balt 8mo agoThat is already the case with datacenter "GPUs". A A100, MI300 or Intel PVC/Gaudi does not have useful graphics performance nor capabilities. Coprocessors ala NPU/VPU are also on the rise again for CPUs.
- elcritch 8mo agoGreat now I’m envisioning a rich guy using an A100 as his desktop GPU just to show off. Which begs the question if that’s even possible.
- userbinator 8mo agoIt has no video output.
- coffeebeqn 8mo agoI believe some cards at least you can make the motherboard display ports the output
- vel0city 8mo agoThis is kind of true back in the day though. Uninformed people would buy Quadro cards because they were the most expensive GPU on Newegg only to realize this thing sucks for gaming.
- jiggawatts 8mo agoYes. Even the latest NVIDIA Blackwell GPUs are general purpose, albeit with negligible "graphics" capabilites. They can run fairly arbitrary C/C++ code with only some limitations, and the area of the chip dedicated to matrix products (the "tensor units") is relatively small: less than 20% of the area! Conversely, the Google TPUs dedicate a large area of each chip to pure tensor ops, hence the name. This is partly why Google's Gemini is 4x cheaper than OpenAI's GPT5 models to serve. Jensen Huang has said in recent interviews that he stands by the decision to keep the NVIDIA GPUs more general purpose, because this makes them flexible and able to be adapted to future AI designs, not just the current architectures. That may or may not pan out. I strongly suspect that the winning chip architecture will have about 80% of its area dedicated to tensor units, very little onboard cache, and model weights streamed in from High Bandwidth Flash (HBF). This would be dramatically lower power and cost compared to the current hardware that's typically used. Something to consider is that as the size of matrices scales up in a model, the compute needed to perform matrix multiplications goes up as the cube of their size, but the other miscellaneous operations such as softmax, relu, etc.. scale up linearly with the size of the vectors being multiplied. Hence, as models scale into the trillions of parameters, the matrix multiplications ("tensor" ops) dominate everything else.
- tuukkah 8mo agoMeanwhile, the corresponding "non-standard" desktop PC is the Framework Desktop, which with the Ryzen AI Max+ 395 can use 120GB of its 128GB RAM for the GPU: How to Run a One Trillion-Parameter LLM Locally: An AMD Ryzen™ AI Max+ Cluster Guide https://www.amd.com/en/developer/resources/technical-articles/2026/how-to-run-a-one-trillion-parameter-llm-locally-an-amd.html https://www.amd.com/en/developer/resources/technical-article...
- hedgehog 8mo agoMinisforum MS-S1 is the same chip but has a PCIe slot suitable for a network card.
- SkyMarshal 8mo agoOr a Beelink GTR9 Pro with same chip and memory, and two 10GbE LAN ports built in for clustering several together.
- hedgehog 8mo agoThe MS-S1 also has 2x 10Gb Ethernet, the value of the slot is going to a card with more bandwidth + RDMA support.
- speed_spread 8mo agoYou need five network cards per node to make proper hypercube. Don't settle for less!
- LargoLasskhyfv 8mo agoA really good switch will do, too.
- jsheard 8mo agoThe Framework Desktop motherboard does actually have a PCIe x4 slot, their case just doesn't expose it for whatever reason. But you can buy the board separately and put it in your own choice of Mini-ITX case which does.
- snovv_crash 8mo agoHoe much dedicated cache do these NPUs have? Because it's easy enough to saturate the memory bandwidth using the CPU for compute, never mind the GPU. Adding dark silicon for some special operations isn't going to make out memory bandwidth faster.
- bjackman 8mo agoDoes a cache help with inference workloads anyway? I don't know much about it but my mental model is that for transformers you need random access to billions of parameters.
- fc417fc802 8mo agoIt's streaming access, and no not as far as I'm aware. APUs have always been hilariously bottlenecked on memory bandwidth as soon as your task actually needed to pull in data. The only exception I know of is the PS5 because it uses GDDR instead of desktop memory.
- zigzag312 8mo agoAre we going to see more memory channels for consumer desktop at some point from AMD or Intel? Apple seems to be the only one that offers it.
- hypercube33 8mo agoI'm not sure what you mean - I think the mobile 300 series can do quad channel already for its APU at least. I'd assume it can do more but do you not need more slots beyond that?
- zigzag312 8mo agoI'm talking about desktop computers, not mobile.
- wtallis 8mo agoThere are a single-digit number of products using the AMD Strix Halo mobile parts that have a 256-bit memory bus. All other mobile x86 processors (including AMD's mainstream Mobile silicon used for these desktop processors) have the usual 128-bit bus.
- FpUser 8mo agoWell, for me personally it is a meh until RAM prices go down. Suddenly, decent PC has turned from a tool accessible to average Joe to a luxury item
- bitwize 8mo agoNarrator: The RAM prices did not, in fact, go down.
- mcraiha 8mo agoThese are mobile chips shoehorned into AM5. They aren't very good e.g. for gaming purposes. https://videocardz.com/newz/amd-ryzen-ai-400-does-not-support-radeon-rx-9000-gpus-at-full-pcie-speed https://videocardz.com/newz/amd-ryzen-ai-400-does-not-suppor...
- bcraven 8mo agoPresumably that's why the subheading is: >First wave of Ryzen AI desktop CPUs targets business PCs rather than DIYers.
- anticorporate 8mo agoI guess it depends on what games you play. I have an AI Max 395 (Framework Desktop) and it runs every game in my library flawlessly. I'm sure if I played this year's most resource-intensive games it might stutter, but I don't. For me, it's an amazing low power minpc doing triple duty as a gaming PC, development box, and running my self-hosted services for the rest of the house.
- AmVess 8mo agoYeah. I have one. People buying the Framework Desktop mainboard aren't buying it just for gaming. There are better and far cheaper options for gaming. What this does is everything, though. Good enough for 1440p gaming. 16c/32t powerful CPU, it can run LLM's. SFF main pc that can do everything in a tiny space is a win.
- poly2it 8mo agoThe Ryzen AI line is actually great if deployed to an entire org as the bottom tier, as it garuantees every device has a 50 TOPs NPU. We deploy local software at $STARTUP and this makes deployment to a Windows corp more predictable.
- deleted 8mo ago[deleted]
- lelanthran 8mo agoIt doesn't sound as impressive as I wanted :-( I wanted a better strix halo (which has 128GB unified RAM and 40cu on the 8080s (or something) iGPU). This looks like normal Ryzen mobile chips + but with fewer cus.
- wtallis 8mo agoPutting Strix Halo into the AM5 socket would make no sense. Half the memory controllers would be orphaned and the GPU would be severely bandwidth-starved (assuming that the memory controller on Strix Halo actually supports DDR5 and not just LPDDR5).
- PunchyHamster 8mo agoThey could put it on threadripper socket, very similar memory bandwidth
- undersuit 8mo agoAnd waste all those PCI Express lanes?
- noelwelsh 8mo agoYeah the next generation of Strix Halo is what would get me excited. I think right now TSMC has no capacity, so maybe we have to wait another year. Kinda ironic that all CPU/RAM capacity is being sold to LLM companies, and as a result we can't get the hardware needed for good local LLMs.
- qalmakka 8mo ago> all CPU/RAM capacity is being sold to LLM companies, and as a result we can't get the hardware needed for good local LLMs. yeah... Ironic I guess. It's as if they've realised that it's only a matter of time until we get a "good enough" FOSS model that runs on consumer hardware. The fact that such a thing would demolish their entire business of getting VC hyped while giving out their service for a loss surely got lost to them. Surely they and Nvidia have not realised that the only thing that could stop this is to make good hardware unreachable for anything smaller than a massive corp Mark my words: in less than one year, we'll probably get something akin to Opus 4.6 FOSS. China is putting as much money into that as they can because they know this would crash the US economy, which is in the green only thanks to big tech pumping up AI. China wants Trump either gone or neutered as soon as possible, which they know they can do by making Republicans as unelectable as possible - something that will probably do if the economy crashes and a recession happens
- a012 8mo ago> This makes them AMD’s first desktop chips to qualify for Microsoft’s Copilot+ PC label, which enables a handful of unique Windows 11 features like Recall and Click to Do. Microsoft: "Friendship ended with Intel, now AMD is my best friend"
- pjmlp 8mo agoActually it is Qualcom, as they keep trying to push for ARM, but due to the way PC ecosystem has been going since the IBM PC clones started, no one is rushing out to adopt ARM.
- deleted 8mo ago[deleted]
- Havoc 8mo agoSome of these supporting ECC is of some interest. Though fast udimm ecc ram is going to be extremely expensive
- qalmakka 8mo agoYeah, but all of this is pointless when RAM is as expensive as two CPUs by itself - if it's even in stock. AMD/Intel should focus on that first if they want to save their DIY business at all - which I'm starting to doubt they don't
- DiabloD3 8mo agoThey can't fix stupid. Let me describe this in the most simple terms possible: You have speculators speculating about AI products. The speculators are not very smart when it comes to technology, and think RAM is RAM. There is at least three kinds of RAM that are important to this: DDR for system RAM, GDDR for GPUs, and HBM for high density enterprise products, and they are not interchangeable, there is no one-die-fits-all solution. So, these speculators are like "oh no, more GPUs requires more RAM!", and then just start speculating on all RAM. Which of these RAMs are the ones that they need to worry about? Exclusively HBM, which is a minority in production, DDR and GDDR dominate production. If you're into inference, and have older machines, you're buying Hxxx or Bxxx cards that use HBM, fit into dual slot x16 configurations, and you're jamming (optimally) 8 of them in. If you're into hardware that is newer, somewhere in the middle of the inference boom, you're using MXM cards. In either situation, the host machine has DDR, but if you're OpenAI, Anthropic, Microsoft, or Google, you're not building (more) inference machines like this. The first two are buying Nvidia's all in one SBC solution: unified HBM, onboard ARM CPU to babysit the dual GPUs, has its own dual QSFP network controller that can RDMA, etc. No DDR or GDDR involved. Any machines built before this platform are being phased out entirely. Microsoft is doing the same, but with AMD's products, the MI series that co-locates Epyc-grade Zen 4/5 CCDs with CDNA compute chiplets, running the entire thing off HBM, thus also unified and no DDR/GDDR needed. They, too, are phasing out machines older than this. Google has a mix: they offer Nvidia all in one SBCs as part of GCP for legacy inference tasks (so your stack that can't run on AMD yet still can run), but also offer the same MI products that Microsoft offers via Azure's inference product, but also has their own TPUs that some of Gemini runs on; the TPUs run on HBM afiact. No DDR or GDDR here. So, what does AMD or Intel do here? Lets say they waste fab time to make their own dies on the wrong process (TSMC and Intel-Foundry do not have for-RAM optimized processes)... they would be producing DDR and GDDR for a market that almost has its entire demand met. Intel lacks the die stacking technology required to build HBM, and TSMC I think can't do it for that many layers (HBM has 8 to 16 layers in current gen stuff iirc). Micron, for example, already is bringing two large factories online here in the US to meet the projected growth in demand for the next 20+ years. When these factories finally start producing, it will not change the minds of speculators: they still seem to think AI datacenters need RAM, of any kind, and refuse to understand even the most basics of nuance. Also, when they come online, HBM will be a minority product; the AI inference boom is still just a bump in the road for them. Nvidia kinda screwed their consumer partners, btw: they no longer bundle the GDDR required for the card with the purchase of the die. There is a slight short term bump in GDDR spot prices as partners are building up warchests to push series 60 GPUs into production, and once that is done, spot prices return to normal (outside of the wild speculation manipulation). One last thing: what about LPDDR, used by AMD Strix Halo and Apple stuff? Speculation seems to have not actually effected it. I consider it as a sub-category of DDR (and some dies seem to work as either DDR or LPDDR as of DDR5, due to the merger of the specs by JEDEC), but since it isn't something you find in datacenters, it seems to have avoided speculation. The Ryzen Max CPUs mentioned in the linked article? Uses LPDDR. Doubling down on the Ryzen Max product line might be a brilliant move.
- DeathArrow 8mo ago"AI" branding applied to subpar products hoping to boost sales.
- wosined 8mo agoLooks like someone has run out of money.
- mixxit 8mo agoI can use this in OpenWeb on Unraid? Save me buying a pascal card?
- ilovechaz 8mo ago50 tops ain’t all that much.
- craftkiller 8mo agoSince this is for desktop, the NPU is irrelevant. Consumer-grade NPUs are not made for high performance. They are optimized for low power consumption, which makes sense when you are trying to run basic AI tasks on a laptop without turning it into a frying pan. On consumer-grade gear, the GPU will outperform the NPU, and since a desktop is not constrained by battery and can dissipate far more heat, the NPU is mostly irrelevant (aside from using it to develop software for laptop NPUs).
- bilekas 8mo ago> This makes them AMD’s first desktop chips to qualify for Microsoft’s Copilot+ PC label, which enables a handful of unique Windows 11 features like Recall and Click to Do. This is not the selling point they think it is. The problem I see with the AM5 socket is simply the fact that DD5 RAM to support it is just too expensive. So this will not really make the big impact they were hopin for.
- davidmurdoch 8mo agoI have a hard time believing ANYONE thinks this is a selling point. Literally anyone, including marketing and execs at Microsoft. I think they have just sunk too much money in it to quit, so they keep doubling down.
- downrightmike 8mo agoJust like the previous generation of AI PC, consumers just need a usb/pcie NPU, Mass adoption won't happen until we get those cheap, because there are no mass prosumers making software for them that is massively popular.
- u8080 8mo agoNo, AI inference is mainly RAM/RAM speed constrained, we need more fast RAM to make local AI thrive.
- downrightmike 8mo agoLol. Thanks to someone buying all the ram platters, before they became modules, that won't happen.
- mikepurvis 8mo agoUpgrading to AM5 wasn't compelling to me even last summer before things went bonkers; I'm still very content with my 5800x and 64GB of DDR4. Trying to take the plunge on that now sounds like a nightmare.
- Yanko_11 8mo ago[dead]
- rafaelmn 8mo agoPC desktop chips have 128 bit busses to right ? From what I know theoretical maximum memory bandwidth of chips is less than 100gbps - which is less than like base M5/M4 chips. So no matter how much compute you stuff in there it's going to be shit for AI ? PC architecture is not adapting to AI workloads at all, and no signs of that changing in years to come. I would not be surprised if your phone was more capable of running AI models than an average desktop - especially given gpu pricing.
- HighGoldstein 8mo agoApple has their high-bandwidth chips, the rest of the commercial desktop market is effectively running Windows, and Microsoft has no incentive to move towards local AI, their ideal case is that you use their cloud-based services and pay for them forever (you being enterprise clients with thousands of PCs).
- Aardwolf 8mo agoWhat exactly is this: Is this fast GPU like instructions that anyone can use in any operating system to run any open sourced LLMs on CPU with all your RAM rather than on a discrete GPU with its own limited amount of VRAM? Or is this a proprietary thing that only works in Windows for some specific use cases and irrelevant for Linux users?
- bpavuk 8mo agoit's a distinct piece of hardware based on AMD XDNA architecture, which, coincidentally, much like CPUs, can tap into your RAM pool. there are XDNA drivers (`amdxdna`) for Linux.
- mathisfun123 8mo ago> can tap into your RAM pool lol no it can't - there's a small (40MB) SRAM that can DMA to DRAM and then each of the tiles is another DMA away from that SRAM.
- heraldgeezer 8mo agoSo happy I got my 9800X3D + 64GB RAM this fall instead of now lmaooo
- EtienneK 8mo agoIn time for Windows 12 that reportedly will require an NPU: https://tech4gamers.com/windows-12-reportedly-relasing-2026-modular-ai-focused-os/ https://tech4gamers.com/windows-12-reportedly-relasing-2026-...
- wtallis 8mo agoThat's a ridiculously implausible and sensationalized rumor. At most, Microsoft may make a NPU a requirement for OEMs to use the Windows 12 logo on new PCs. Actually refusing to support the existing install base of recent and hughly-capable desktops is not at all likely. It would be far more drastic than the hardware deprecations brought by Windows 11, which were already quite controversial (and loosely enforced).
- 2001zhaozhao 8mo agoInterestingly, this tops off at 8 cores. Where are the 16 core versions that already exist on laptops?
- deleted 8mo ago[deleted]
- zamadatix 8mo agoYou can get Strix Halo in mini desktop form factor but they won't be AM5 socketed because roughly 1/2 to 3/4 of the memory bandwidth would need to be missing, starving the massive iGPU you just paid for.