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  • Hacker News
  • >> 252GB of HBM3e at 7.1TB/s,

    So it has only 252GB of actual ”AI” memory making it “useless”/toy for actual real world AI workloads(I.e it can’t replace something like opus 5)

    by theplumber
  • I don't know about "useless" (it seems quite useful to me) but I do feel mislead. It's unified memory in the same way that my current dGPU has unified memory. I guess nvlink-c2c probably (?) doesn't introduce a bottleneck but it's still two distinct arenas with very different performance characteristics.
    by fc417fc802
  • Should work just fine for MoE models where active set fits into 252GB.
    by kees99
  • I find it just misleading by advertising 700GB RAM as AI headline. I could plug a 32GB GPU to my 1.5TB ram server and call it “AI station with 1.5TB+ RAM” just so that you find it actually useless compared to the headline
    by theplumber
  • 7.1TB/s of HBM is not "useless" -- that's 30 times the memory bandwidth of my DGX Spark -- and nobody is expecting such a machine to run "Opus 5" on its own. For such large models even datacentre GB300 NVL72 are multiple trays linked together via NVlink etc. This machine has QSFP ports and ConnectX for linking up for larger models.

    It's a workstation, not a rack. It's for AI researchers. I'd love to have one on (err, under) my desk.

    What even is this comment?

    by cmrdporcupine
  • It's actually kind of nostalgic to see off the shelf computers have such a sky high price again. Back in the Silicon Graphics days the prices were aspirational! Give me something to lust over again... makes me feel young.
    by bentt
  • aye! 'twas so jolly in ye ol' days when only the master could afford a large computer! /s
    by znpy
  • I guess I'm too poor to even know the price
    by self_awareness
  • These are for billionaires/multi millionaires/cryptobros/stupidly rich people who can afford such “toys”. I’d really love to see a geek/tech freak/gadget lover/IT/homelab billionaire buying large number of things we mere mortals can’t afford, but only dream of, and then he blogs about them ;-)
    by NKosmatos
  • Dell's equivalent starts at £180k.
    by chedabob
  • MSI’s DGX Station (what this is) was listed for $99K
    by wolttam
  • Can I get 32 GB of RAM for a sane price instead?
    by einpoklum
  • Yeah, all these overpriced toys will be obsolete soon anyway, but regular memory for PC for actually doing some productive stuff is still overpriced. Pure madness.
    by m4rtink
  • This is a bundle where you end up paying for parts that aren't as useful:

        - 252 GB HBM3e VRAM
    - 496 GB LPDDR5X RAM
    I would rather have a system using 2x Instinct MI350P GPUs (288GB total) for much less.
    by karmakaze
  • But can it run crysis?
    by dyzone
  • if not yet then it may be achievable:

    https://www.guru3d.com/story/nvidia-dgx-spark-achieves-175-f...

    by jareklupinski
  • How many arms and legs does one of these cost?
    by Retr0id
  • 3.14 kidneys.
    by shmoil
  • I'm just barely starting to wrap my head around mapping model sizes and quants to hardware components and constraints.

    I don't get what this device is for.

    I a million percent understand wanting 252GB-VRAM, that would get me a 280-320B model like glm-5.3 or deepseek-v4-flash, which would be a massive improvement over my gpt-oss:20b 16GB toy. I would gladly pay a grand for this, I would never pay ten grand for this, and it seems to be priced around a hundred grand.

    So obviously the customer is commercial not consumer.

    Can anyone planning a project around one of these at work share what their workload is shaped like and how they're modeling price/performance?

    For instance, I don't get the 512GB of system memory, I'd gladly drop that to 128 to save money. Am I missing something about commercial workloads? Is a 1T parameter model at 20 tok/s more important to your workload than a 300B one at 60? Is it simply a co-dependency of not the model but the other software you're running on the machine thats using/interacting-with/being-driven-by the model?

    Whats your napkin math to justify 100k? Actually thats not even really the question, its more like - whats your napkin math to determine between the "dual linked GB10" use case vs this product's use case vs an 8U supermicro with 4 cards use case.

    by cagenut
  • 252GB of HBM3e at 100k vs. a multi A6000 96GB setup. GB300 seem expensive in comparison at ~$100k. Am I missing something?
    by dsrtslnd23
  • HP’s spec sheet fills in details the platform announcements skipped. The CPU memory is four 128GB SOCAMM modules delivering 396GB/s, and the Grace CPU is soldered to the host processor module rather than socketed. The two pools add up to the 748GB coherent space that lets the GPU address CPU memory directly, which is what makes trillion-parameter inference and fine-tuning of models in the 100 billion parameter class possible on a single box. HP’s footnote on those model sizes is that the harness quantizes at FP4.
    by LargoLasskhyfv
  • have you priced ddr5 memory?
    by segmondy
  • Without looking it up and doing the math, I bet GB300 has higher Tflops and memory bandwidth, especially when used with e.g. NVFP4.
    by _diyar
  • There's a lot more going on here because the host machine has a boatload (496GB) of expensive LPDDR5x (which is stupidly expensive) that can also be used as unified (but slower) memory to the GPU, 72 ARM64 cores, stupid fast NVlink/QSFP networking, the PSU to support all that etc. etc.

    Basically it's the same as a tray in a GB300 NVL72, but in workstation/desktop form. Niche would be AI researchers.

    They will... not sell a lot of these. But what a beast.

    I am too lazy to price out 496GB of DDR5 but, um, mostly because it is terrifying to see what today's prices look like.

    You can't build such a machine out yourself but if you could I suspect the price point would come out about the same.

    by cmrdporcupine
  • Someone should edit the title to make it clear it only has 252GB of “AI” memory
    by theplumber
  • Agree, the CPU memory is about 400GB/s vs. Apple M5 Ultra at 1.2TB/s. But the M5 only has that, not the 7TB/s portion. So this box could* still be faster when using the full 748GB if both RAM types can be used without the slower part bogging everything down. *That comes down to implementation. Maybe somebody can chime in on this.
    by edg5000
  • Looks like multiple vendors are seeling these:

    https://www.gigabyte.com/in/Enterprise/Tower-Server/W775-V10...

    https://www.msi.com/Landing/NVIDIA-DGX-STATION

    by pritambarhate
  • > a Kensington slot

    I think you might need a bit more than that at this price point ...

    by fc417fc802
  • A kensington lock in this context is like a sign that says "do not move", which is still kinda useful
    by Retr0id
  • At the expected price point it would be nice if it came with a free pied-à-terre in Kensington (https://en.wikipedia.org/wiki/Kensington). Just a small studio apartment, nothing special.
    by alexfoo