Twitxy Saved

brian stevens

Verified account This account is verified. Learn more

@addvin

CEO, Neural Magic. Ex VP, CTO of Google Cloud and EVP, CTO of Red Hat, RPI and UNH alumn, marathoner, ironman, ADK MT 46er.
addvin@gmail.com Joined January 2009
168 Following 4.9K Followers 752 Posts

Latest posts 5

Pinned post

brian stevens Verified account @addvin
Introducing llm-d on stage at Red Hat Summit was truly a privilege ...
Red Hat AI Verified account @RedHat_AI May 20, 2025
LLM inference is too slow, too expensive, and too hard to scale.

🚨 Introducing llm-d, a Kubernetes-native distributed inference framework, to change that—using vLLM (@vllm_project), smart scheduling, and disaggregated compute.

Here’s how it works—and how you can use it today:
View quoted post on X
2 replies 8 reposts 35 likes 4.1K views View on X
brian stevens Verified account @addvin
I’m thrilled to announce that Neural Magic has signed a definitive agreement to join forces with Red Hat, Inc.

At Neural Magic our vision is that the future of AI is open, and we have been on a mission to enable enterprises to capture the powerful innovation from AI, while at the same time being free of friction and restriction. Open-source models, optimization algorithms, and inferencing systems are the heart of this - enabling enterprises to own their own AI models, privately customize them to their datasets, and deploy them on their private multi-vendor infrastructure - whether cloud, datacenter, or edge.

For the last 5 years, we have been contributing open research, open-source model quantization and sparsification tools, and open-source pre-optimized models to the community. As part of our increasing shift to support GPUs, we have been recognized as the top commercial contributor to the amazing vLLM project.

There is a saying in the startup world that an acquisition is an exit. This is not. It is an entrance. A beginning to create an open source world for AI, where an open ecosystem flourishes, and customers and the community are the benefactors.

Red Hat shares this vision, and together we will advance the world of truly “open” AI.

It’s a great day for open source AI.

Read the Press Release: redhat.com/en/about/press…
17 replies 34 reposts 127 likes 18K views View on X
brian stevens Verified account @addvin
Quantization of LLM models is critical for efficient deployments. But how to avoid any negative impact of quantization on model capability? Our latest research across Llama variants will serve as a great guide.
Eldar Kurtić Verified account @_EldarKurtic Nov 5, 2024
vLLM + Quantization: We investigated impact of quantization across all Llama sizes to come up with a set of practical guidelines for deployment across various use cases and GPU architectures in @vllm_project. There are some interesting findings relative to "well-known" things: 👇
View quoted post on X