Earlier quoted context omitted.
Cynical take: Try to get acquired by Intel for Arc.
More cynical take: this would be a bad strategy, because Intel hasn't shown much competence in its leadership for a long time, especially in regards to GPUs.
Making AMD GPUs competitive for LLM inference (2023)
71–80 of 221 posts
Re: Making AMD GPUs competitive for LLM inference (2023)
#72[1] https://www.jonpeddie.com/news/amd-to-integrate-cdna-and-rdn.... [2] https://centml.ai/hidet/ [3] https://centml.ai/platform/
Re: Making AMD GPUs competitive for LLM inference (2023)
#73Earlier quoted context omitted.
Except I never hear complaints about CUDA from a quality perspective. The complaints are always about lock in to the best GPUs on the market. The desire to shift away is to make cheaper hardware with inferior software quality more usable. Flash was an abomination, CUDA is not.
Maybe the situation has gotten better in recent years, but my experience with Nvidia toolchains was a complete nightmare back in 2018.
Re: Making AMD GPUs competitive for LLM inference (2023)
#74I have come across quite few startups who are trying a similar idea: break the nvidia monopoly by utilizing AMD GPUs (for inference at least): Felafax, Lamini, tensorwave (partially), SlashML. Even saw optimistic claims like CUDA moat is only 18 months deep from some of them [1]. Let's see. [1] https://www.linkedin.com/feed/update/urn:li:activity:7275885...
We just onboarded a customer to move from openai API to on-prem solution, currently evaluating MI300x for inference.
Email me at my profile email.
Re: Making AMD GPUs competitive for LLM inference (2023)
#75Earlier quoted context omitted.
More cynical take: this would be a bad strategy, because Intel hasn't shown much competence in its leadership for a long time, especially in regards to GPUs.
They've actually been making positive moves with GPUs lately along with a success story for the B580.
I want to believe he's wrong, but on the parts of his show where I am in a position to verify, he generally checks out. Whatever the opposite of Gell-Mann Amnesia is, he's got it going for him.
Re: Making AMD GPUs competitive for LLM inference (2023)
#76Earlier quoted context omitted.
Everything is comparative. AMD isn't perfect. As an Ex Shareholder I have argued they did well partly because of Intel's downfall. In terms of execution it is far from perfect. But Nvidia is a different beast. It is a bit like Apple in the late 00s where you take business, forecast, marketing, operation, software, hardware, sales etc You take any part of it and they are all industry leading. And having industry leadi…
Yeah, no. We are in the middle of a monopoly squeeze by NVidia on the most innovative part of the economy right now. I expect the DOJ to hit them harder than they did MS in the 90s given the bullshit they are pulling and the drag on the economy they are causing. By comparison if AMD could write a driver that didn't shit itself when it had to multiply more than two matrices in a row they'd be selling cards faster than…
I am not sure which part of Nvidia is monopoly. That is like suggesting TSMC has a monopoly.
Re: Making AMD GPUs competitive for LLM inference (2023)
#77Re: Making AMD GPUs competitive for LLM inference (2023)
#78Earlier quoted context omitted.
They've actually been making positive moves with GPUs lately along with a success story for the B580.
Yeah but MLID says they are losing money on every one and have been winding down the internal development resources. That doesn't bode well for the future. I want to believe he's wrong, but on the parts of his show where I am in a position to verify, he generally checks out. Whatever the opposite of Gell-Mann Amnesia is, he's got it going for him.
Re: Making AMD GPUs competitive for LLM inference (2023)
#79Earlier quoted context omitted.
Compute Express Link (CXL) should mostly solve limited RAM with CPU: 1) Compute Express Link (CXL): https://en.wikipedia.org/wiki/Compute_Express_Link PCIe vs. CXL for Memory and Storage: https://news.ycombinator.com/item?id=38125885
Gigabytes per second? What is this, bandwidth for ants? My years old pleb tier non-HBM GPU has more than 4 times the bandwidth you would get from a PCIe Gen 7 x16 link, which doesn't even officially exist yet.
So you have a full terabyte per second of bandwidth? What GPU is that?
(The 64GB/s number is an x4 link. If you meant you have over four times that, then it sounds like CXL would be pretty competitive.)
Re: Making AMD GPUs competitive for LLM inference (2023)
#80Earlier quoted context omitted.
They've actually been making positive moves with GPUs lately along with a success story for the B580.
Yeah but MLID says they are losing money on every one and have been winding down the internal development resources. That doesn't bode well for the future. I want to believe he's wrong, but on the parts of his show where I am in a position to verify, he generally checks out. Whatever the opposite of Gell-Mann Amnesia is, he's got it going for him.