Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by aurareturn on Wednesday August 27, 2025 @09:52PM
(#45047435)
It's not good value when you put it like that. It doesn't have a lot of compute and bandwidth. What it has is the ability to run DGX software for CUDA devs I guess. Not a great inference machine either.
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Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by jacquesm on Thursday August 28, 2025 @06:45AM
(#45050590)
It's great at one thing: memory. And that's interesting because memory is a commodity, but they still make bank on just being able to access it.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by aurareturn on Thursday August 28, 2025 @07:32AM
(#45050889)
Memory is a commodity but access to high bandwidth memory is expensive whether it's HBM, or LPDDR/DDR connected to many memory channels.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by throwaway48476 on Thursday August 28, 2025 @09:03AM
(#45051674)
Its not priced in a linear way wrt to bom cost.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by aurareturn on Thursday August 28, 2025 @10:03AM
(#45052303)
That's because memory channels cost money. Memory controllers are more complex. Lastly, chips that can make use of high bandwidth VRAM are both of the above.
Memory chips are a commodity, that I agree. Though HBM is trending towards not being a commodity.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by throwaway48476 on Thursday August 28, 2025 @11:56AM
(#45053778)
Memory controllers are die area. mm2 die space is linear bom cost.
DRAM+mm2 bom will have a different slope to just DRAM bom but still basically linear. Nonlinear pricing is pure market segmentation.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by aurareturn on Thursday August 28, 2025 @11:49PM
(#45059947)
Memory controllers are die area. mm2 die space is linear bom cost.
Ignoring the design and platform support that comes with higher bandwidth memory controllers.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by throwaway48476 on Friday August 29, 2025 @02:22AM
(#45060831)
And this is not also linear or fixed cost, why?
I don't think you know how industry pricing works. Wafers have a price, double mm2, double the price of chip in bom.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by aurareturn on Friday August 29, 2025 @09:00AM
(#45063542)
Yes. Bigger die size. More complex memory controller designs. More memory lanes. More software support for higher memory lanes. All adds up.
I'm explaining why despite memory being a commodity, high memory bandwidth VRAM cost is not cheap.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by throwaway48476 on Friday August 29, 2025 @12:07PM
(#45065897)
Memory controllers are copy paste. It's not more complex.
It's more expensive in a linear way wrt bom.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by dheera on Thursday August 28, 2025 @12:01PM
(#45053831)
The RTX Pro 6000 Blackwell gets you 96GB of RAM, a LOT more compute, and costs ~$7K which is not that much more than the $3K-$4K you'd pay for a DGX Spark.
I think the RTX Pro is probably the best deal right now if you're looking for a GPU dev desktop and don't care about physical size or power consumption.
Re:A Grace Blackwell AI Supercomputer on Your Desk – Nvidia ...
by jacquesm on Thursday August 28, 2025 @03:32PM
(#45056103)
What I ended up doing is buy 3090's in bulk from ex mining rigs, stick new fans in them and run 14 of them connected to an old Supermicro chassis using very nice PCI express splitters. I figured out just what the sweet spot was in terms of PCI bandwidth and maxed it out on RAM (512G). The end result was pretty usable and allowed me to run some of my own benchmarks without sharing any data with the usual suspects. The bigger problem was power delivery, the box had four pretty beefy power supplies running on two different phases. It's retired now because we're much too busy with other stuff but that was a lot of fun and gave me a much better angle on all these new developments than I would have gotten otherwise. Total cost of the system was less than one RTX Pro 6000 and it had a lot more VRAM. The whole thing looked terrible though :)