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Comment by alecco | Hacker News Reader

Consumer cards are PCIe 4.0 x16. H100 PCIe version is PCIe 5.0 https://en.wikipedia.org/wiki/Hopper_(microarchitecture). And it's been out 2 years already.

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For the consumer GPUs, PCIe 4.0 x16 has plenty of BW headroom. The full sized x16 is more for stability reasons. Some vendors even put a couple of M.2 slots on PCI4/5 GPU board to recuperate the unused PCIe lanes.

That's mixing apples with oranges.

Some low-end or middle range GPUs really only use 8 lanes, because that's how the chip is designed. Fewer lanes -> less silicon area for the pcie logic needed -> cheaper.

The chips which use 16 lanes take advantage of it and can saturate the link.

Smaller GPU silicon is also often designed more around the laptop market, where it's common for the CPU to not have more than 8 lanes available for the GPU.

what does a laptop GPU have to do with a server grade xeon that the article is comparing against?

So everyone is supposed to do all of their testing on H100's?

4090 (2022) PCIe 4.0 x16 is quite decent. The major limit is memory, not bandwidth. And 3090 (2020) is also PCIe 4.0 x16, and used cards are a bargain. You can hook them up with Nvlink.

Nvidia is withholding new releases but the current hardware has more legs with new matrix implementations. Like FlashAttention doing some significant improvement every 6 months.

Nvidia could make consumer chips with combined CPU-GPU. I guess they are too busy making money with the big cloud. Maybe somebody will pick up. Apple is already doing something like it even on laptops.

get a GH100 on lambda and behold you have 900GB/s between CPU memory and GPU, and forget PCIe.

Where are you seeing 900 GB/s?

The 900 GB/s are a figure often cited for Hopper based SXM boards, it's the aggregate of 18 NVLink connections. So it's more of a many-to-many GPU-to-GPU bandwidth figure.

https://www.datacenterknowledge.com/data-center-hardware/nvi...

this is bidirectional bw and it's gh200, not gh100

That doesn't add up, because you're now exceeding the memory bandwidth of the memory controller. I.e. it would be faster to do everything, including the CPU only algorithms, in far away VRAM.

latency might be higher and latency usually dominates CPU side algorithms.

TIL, I missed Hopper already having it. I assume the RTX 5000 series will bring it to consumers.

Well let me tell you about the pretty high-end and expensive L40 that shipped with PCIe-4.0 to my utter dismay and disgust. Only the H100 had 5.0 although I could already saturate 4.0 (and 5.0) with Mellanox NICs and GPU/StorageDirect. Waiting for the next one to maybe get 5.0.

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