These are the best kinds of posts
https://www.google.com/search?client=firefox-b-m&q=grace%20h...
How long would it take to recoup the cost if you made the model available for others to run inference at the same price as the big players?
Also:
> I arrived at a farmhouse in a small forest…
Were you not worried you were going to get murdered?
It's an interesting question, and since OP indicates he previously had a 4090, he's qualified to reply and hopefully will. However, I suspect the GH200 won't turn out to run games much faster than a 5090 because A) Games aren't designed to exploit the increased capabilities of this hardware, and B) The GH200 drivers wouldn't be tuned for game performance. One of the biggest differences of datacenter AI GPUs is the sheer memory size, and there's little reason for a game to assume there's more than 16GB of video memory available.
More broadly, this is a question that, for the past couple decades, I'd have been very interested in. For a lot of years, looking at today's most esoteric, expensive state-of-the-art was the best way to predict what tomorrow's consumer desktop might be capable of. However, these days I'm surprised to find myself no longer fascinated by this. Having been riveted by the constant march of real-time computer graphics from the 90s to 2020 (including attending many Siggraph conferences in the 90s and 00s), I think we're now nearing the end of truly significant progress in consumer gaming graphics.
I do realize that's a controversial statement, and sure there will always be a way to throw more polys, bigger textures and heavier algorithms at any game, but... each increasing increment just doesn't matter as much as it once did. For typical desktop and couch consumer gaming, the upgrade from 20fps to 60fps was a lot more meaningful to most people than 120fps to 360fps. With synthetic frame and pixel generation, increasing resolution beyond native 4K matters less. (Note: head-mounted AR/VR might one of the few places 'moar pixels' really matters in the future). Sure, it can look a bit sharper, a bit more varied and the shadows can have more perfect ray-traced fall-off, but at this point piling on even more of those technically impressive feats of CGI doesn't make the game more fun to play, whether on a 75" TV at 8 feet or a 34-inch monitor at two feet. As an old-school computer graphics guy, it's incredible to be see real-time path tracing adding subtle colors to shadows from light reflections bouncing off colored walls. It's living in the sci-fi future we dreamed of at Siggraph '92. But as a gamer looking for some fun tonight, honestly... the improved visuals don't contribute much to the overall gameplay between a 3070, 4070 and 5070.
LTT tried it in one of their videos...forgot which card but one of the serious nvidia AI cards.
...it runs like shit for gaming workloads. It does the job but comfortably beaten by a mid tier consumer card for 1/10th the price
Their AI track datacenter cards are definitely not same thing different badge glued on
> # Data Center/HGX-Series/HGX H100/Linux aarch64/12.8 seem to work! wget https://us.download.nvidia.com/tesla/570.195.03/NVIDIA-Linux...
> ...
Nothing makes you feel more "I've been there" than typing inscrutable arcana to get a GPU working for ML work...
dnhkng•3h ago
ipsum2•1h ago
amirhirsch•50m ago
I needed this info, thanks for putting it up. Can this really be an issue for every data center?
dauertewigkeit•48m ago
How does the seller get these desktops directly from NVIDIA?
And if the seller's business is custom made desktop boxes, why didn't he just fit the two H100s into a better desktop box?
Ntrails•25m ago
I expect because they were no longer in the sort of condition to sell as new machines? They were clearly well used and selling "as seen" is the lowest reputational risk associated with offload