HP ZGX Fury Is Now Orderable: GB300 Superchip, 748GB Unified Memory

rbanffy 39 points 53 comments September 14, 2026
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Discussion Highlights (15 comments)

Retr0id

How many arms and legs does one of these cost?

theplumber

>> 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)

varispeed

Furious What is it with those stupid names? No price, so of course this is not for the smelly working class.

Egg-Man

Imagine a beowolf cluster of these!

self_awareness

I guess I'm too poor to even know the price

dsrtslnd23

252GB of HBM3e at 100k vs. a multi A6000 96GB setup. GB300 seem expensive in comparison at ~$100k. Am I missing something?

dyzone

But can it run crysis?

einpoklum

Can I get 32 GB of RAM for a sane price instead?

fc417fc802

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

pritambarhate

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

theplumber

Someone should edit the title to make it clear it only has 252GB of “AI” memory

cagenut

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.

kstrauser

Can you imagine a Beowulf cluster of these?

bentt

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.

karmakaze

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.

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