Hacker News

hurricanepootis
Intel D270 GPU AI Accelerator–Up to 480 GB LPDDR5X intel.com

rkagereran hour ago

Can I actually buy this? Should I prefer it over Blackwell?

samuelknight17 minutes ago

You can tell by the shape of the board that it's meant to go into a server chassis behind a stack of 80mm blower fans. It's not meant for consumers, but you will be able to buy it used for $200 off ebay in 7 years to put in your home lab.

kadobanan hour ago

> Can I actually buy this?

No. Certainly not now, maybe not ever. That is the least consumer-focused product page I've seen today.

legitronicsan hour ago

Intel ai gpu division is so aggressively anti “small” consumer. I think it has something to do with low volume and a small sales/distribution network. The data center cards I have from amd and nvidia are grey market at best. I don’t think intel moved enough units to establish alternate channels.

cheeze33 minutes ago

Serious question, would they bother?

You can work with 10 players that will buy all of them with minimal effort.

arjie30 minutes ago

Seems incredibly little compute for this. Is it meant to be MoE specific?

nekusar9 minutes ago

Yay more vaporware hardware I get to read about and never see or have a chance to buy.

porkbellyeee18 minutes ago

Ai generated no doubt

doublerabbitan hour ago

> Efficient token serving Dense, air-cooled, standard PCIe infrastructure helps maximize tokens per rack and watt, scaling serving capacity and keeping costs in check.

Next the tokens will be asking for tequila and caviar. Bow down to the new token overloads.

jauntywundrkind2 hours ago

They originally said it was going to be 120GB but that partners could ship bigger capacities. So much for that!

I do hope this has a price point that makes it somewhat competitive with a Mac! Consumers have had nearly no choices available for mem capacity, and 20 channels of lpddr5 is one way to get that capacity! Go Intel!

bigyabai2 hours ago

Both this GPU and the Mac are constrained by a lack of GPU compute. There's basically no rack-scale GPUs with 480gb on-die that have a sub-400W compute element. It's going to be incredibly prefill-constrained on denser model inference just like the Apple Silicon iGPUs are.

krasinan hour ago

This GPU has 1.3 PFLOPS of FP8 compute performance and 1.5 TB/s of memory bandwidth: https://videocardz.com/newz/intel-gpu-d270-is-xe3p-crescent-...

This is almost twice better than RTX 5090. This GPU will not be prefill constrained, I feel.

But I am surprised that they were able to pack so much flops into 300W.

kadobanan hour ago

> But I am surprised that they were able to pack so much flops into 300W.

I'm not. When you're doing inference you typically reduce power limits anyway if you're optimizing for efficiency. Even if you don't, it doesn't spike to the max of the card.

My 3090 I power it down to 175W or so for single-digit reductions in performance for like, 60% of the wattage, something like that.

shusakuan hour ago

It seems like there’s a market out there that is just happy to run the models locally, even if generation is slow.

jchw44 minutes ago

Am I wrong to assume that large MoE models are likely the point anyway? Seems like this card would love DeepSeek V4.1 Flash.

hurricanepootisop4 hours ago

Looks like Intel is choosing to title its new crescent island cards with the D prefix despite being Crescent Island.

Kind of disappointed that Intel is (probably) not going to release consumer class GPUs. Intel's driver stack was seriously getting mature—both on Linux and Windows. It's always nice to have a third option available.

oddIdentities2 hours ago

At least that driver stack will continue to mature?

zakisaadan hour ago

On Linux mainly, and almost strictly for compute workloads (not much need to optimize for 3D workloads given the customer base).

bpyean hour ago

They're still using Xe based iGPUs, so 3D still matters.

DiabloD340 minutes ago

For now. A limited run of Celestials until 2028 when Serpent Lake switches to Nvidia tiles, and a bit longer for the LTS combo (AMD style) IO+GPU die in lower end/embedded products.

Druid is still dead, consumer DGPUs are still, and workstation DGPUs also seems to be dead, and most of the Xe driver team for Windows was laid off, as well as most of the Xe chip design team.

hn-front (c) 2024 voximity
source