News: 0001547558

  ARM Give a man a fire and he's warm for a day, but set fire to him and he's warm for the rest of his life (Terry Pratchett, Jingo)

Red Hat & AMD Collaborating To Further Enhance Open-Source GPU Stack For AI

([Red Hat] 9 Minutes Ago Red Hat + AMD)


In addition to AMD being involved with Red Hat on [1]the new llm-d open-source project for Gen AI , AMD and Red Hat also announced today further collaboration around open-source GPU/accelerator support for AI workloads.

AMD Instinct accelerators are now fully-enabled on Red Hat OpenShift AI. AMD Instinct MI300X GPUs can also be used with Red Hat Enterprise Linux AI while they are also working on further collaborating around the upstream vLLM community for further enhancing open-source AI inference.

Red Hat and AMD will be jointly working together on the following areas:

" Improved performance on AMD GPUs : By upstreaming the AMD kernel library and optimizing various components like the Triton kernel and FP8, Red Hat and AMD are advancing inference performance for both dense and quantized models, enabling faster and more efficient execution of vLLM on AMD Instinct MI300X accelerators.

Enhanced multi-GPU support : Improving collective communication and optimizing multi-GPU workloads opens the door to more scalable and energy-efficient AI deployments, which is particularly beneficial for workloads that require distributed computing across multiple GPUs, reducing bottlenecks and improving overall throughput.

Expanded vLLM ecosystem engagement : Cross-collaboration between Red Hat, AMD and other industry leaders like IBM helps accelerate upstream development to propel continuous improvements for both the vLLM project and AMD GPU optimization, further benefiting vLLM users that rely on AMD hardware for AI inference and training."

AMD Instinct will also be supported by the Red Hat AI Inference Server.

More details for those interested in this latest AMD and Red Hat collaboration via [2]today's press release .



[1] https://www.phoronix.com/news/Red-Hat-llm-d-AI-LLM-Project

[2] https://www.redhat.com/en/about/press-releases/red-hat-and-amd-strengthen-strategic-collaboration-expand-customer-choice-ai-and-virtualization-across-hybrid-cloud



phoronix

Well, anyway, I was reading this James Bond book, and right away I realized
that like most books, it had too many words. The plot was the same one that
all James Bond books have: An evil person tries to blow up the world, but
James Bond kills him and his henchmen and makes love to several attractive
women. There, that's it: 24 words. But the guy who wrote the book took
*thousands* of words to say it.
Or consider "The Brothers Karamazov", by the famous Russian alcoholic
Fyodor Dostoyevsky. It's about these two brothers who kill their father.
Or maybe only one of them kills the father. It's impossible to tell because
what they mostly do is talk for nearly a thousand pages. If all Russians talk
as much as the Karamazovs did, I don't see how they found time to become a
major world power.
I'm told that Dostoyevsky wrote "The Brothers Karamazov" to raise
the question of whether there is a God. So why didn't he just come right
out and say: "Is there a God? It sure beats the heck out of me."
Other famous works could easily have been summarized in a few words:

* "Moby Dick" -- Don't mess around with large whales because they symbolize
nature and will kill you.
* "A Tale of Two Cities" -- French people are crazy.
-- Dave Barry