Chris Wright @kernelcdub
Red Hat CTO. Tezos Foundation council member. Passion for open source SW innovation. Father and husband. Cyclist. Human. Boston, MA Joined May 2012-
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Enjoyed spending time in London yesterday with top industry analysts and other @RedHat leaders. It was great to discuss how our open hybrid cloud strategy is helping customers navigate a complex IT landscape. Our open approach for AI is a critical part of that journey.
AI is changing how we do everything. Lots of discussion about AI in the sw development But not enough about how open source sw development will evolve with AI. Let's have that discussion. redhat.com/en/blog/ai-ass…
Using light to transmit data rather than relying on electronic components could slash latency itpro.com/infrastructure…
vLLM day zero support for Qwen3-Next...Hybrid attention, sparse MoE, and multi-token prediction...keep pushing fwd!
vLLM day zero support for Qwen3-Next...Hybrid attention, sparse MoE, and multi-token prediction...keep pushing fwd!
Check out my new Technically Speaking episode with Bernd Greifeneder from @Dynatrace. We're talking about taming AI agents with observability and why being able to trust these systems is so critical. Give it a listen. youtube.com/watch?v=h-L0R_…
It's awesome to see how we're making the OS feel faster and more secure for our customers with things like Lightspeed, Insights, image mode, and post-quantum security. This is what it’s all about—giving people the tools to move at the speed of innovation. youtube.com/watch?v=dhWW2U…
.@kernelcdub and Carlos Costa explain how a "shared vision" allows an entire industry, from hardware providers to cloud companies, to solve common pain points together and create a "growing pie" for everyone. Hear more about the power of open source collaboration in the full…
Ever wonder what the 'v' in vLLM stands for? 💡 @kernelcdub and @nickhill33 explain how "virtual" memory and PagedAttention make AI inference more efficient by solving GPU memory fragmentation. Tune into the full Technically Speaking episode to learn more about optimizing LLMs:…
Nick Hill digs into the details of vLLM with me on Technically Speaking. Helpful in understanding why vLLM is so important in high performance, open source AI inferencing
Nick Hill digs into the details of vLLM with me on Technically Speaking. Helpful in understanding why vLLM is so important in high performance, open source AI inferencing
Rapid fire buzzword decoding with @addvin
AI Inference at scale? 🤔 Open source to the rescue! 💡 Dive into #vLLM, distributed systems, and the path to practical #AI in the enterprise with @kernelcdub and @addvin on the latest "Technically Speaking." red.ht/3FEEZJ6
Nice nod to Ramalama here...containers to make AI easy (aka boring): networkworld.com/article/381649…
Here's how we're achieving R1 like reasoning with small models leveraging probabalistic inference-time scaling w/out using DeepSeek or derivatives. Results are impressive! MATH w/ Llama 8B approaches GPT-4o, and w/ Qwen2.5 Math 7B Instruct hits o1 level. red-hat-ai-innovation-team.github.io/posts/r1-like-…
Inference-time scaling brings smaller LLMs to o1 level capabilities. This is why we're so excited about the potential of smaller, open source models. Awesome work @ishapuri101 and @RedHat AI Innovation team!
Inference-time scaling brings smaller LLMs to o1 level capabilities. This is why we're so excited about the potential of smaller, open source models. Awesome work @ishapuri101 and @RedHat AI Innovation team!
Nice example of getting started with Triton on AMD GPUs. torch.compile and start playing around! next.redhat.com/2024/12/17/get…
We agree, @kernelcdub: the future of AI is open source 👐 Onsite at #AWSreInvent? Stop by booth #844 to see how you can transform your business with open technology, open culture, and open processes: red.ht/3B0QA2G

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