Chris Wright
@kernelcdub
Red Hat CTO. Tezos Foundation council member. Passion for open source SW innovation. Father and husband. Cyclist. Human.
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Cool to see this from the RHEL team. Smaller images for minimal attack surface along with rapid rebuild/updates so images are free of known vulnerabilities. Also freely available and redistributable, like UBI. redhat.com/en/about/press…
On the heels of the recent news that Red Hat will offer Confirmed Sovereign Support (red.ht/3JN9EpA), we are also joining a coalition of organizations to ensure Europe’s technological future is open, trusted and its own: bit.ly/3K3XzfU.
Dr. Jianying Hu from @IBMResearch and I dive into how open science and domain-specific models are driving real discoveries, from speeding up drug development to creating a "virtual cell." This is AI innovation at the intersection of technology and humanity!
#AI demands smarter #networks, but how do we scale them for the future? 🔮 Our CTO @erikekudden and @RedHat CTO Chris Wright tackle the challenge in the latest #CTOFocusSessions episode. 👉 Watch the full session for their insights: m.eric.sn/YHqN50XkbEr
The AI model gets all the press, but I’m here to talk about intelligent infrastructure. The real work (and the real business value) is in efficiently running inference across your hybrid cloud. Read my take on why the AI system is the next frontier: red.ht/433MWQF.
What does it take to make mobile networks ready for AI at scale? Check out my discussion with @Ericsson CTO Erik Ekudden to see why it all comes back to open source and a strong hybrid cloud foundation: ericsson.com/en/next-wave-o….
Thinking about how to manage both privacy and integrity for AI models during inference? Here's some work we're exploring in this space, bridging confidential compute and LLMs. next.redhat.com/2025/10/23/enh…
Plenty of discussion about the @thinkymachines paper on Defeating Nondeterminism in LLM Inference. Great to see this work in #vLLM!
🚀 Excited to share our work on batch-invariant inference in vLLM! Now you can get identical results regardless of batch size with just one flag: VLLM_BATCH_INVARIANT=1 No more subtle differences between bs=1 and bs=N (including prefill!). Let's dive into how we built this 🧵👇
Navigating the legal issues with open source and AI-assisted development. Let’s dive into what’s being actively debated inside open source communities right now: redhat.com/en/blog/ai-ass…
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!
Qwen3-Next dropped yesterday and you can run it with Red Hat AI today. ✅ Day-zero support in vLLM ✅ Day-one deployment with Red Hat AI Step-by-step guide: developers.redhat.com/articles/2025/… The future of AI is open.
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_…
youtube.com
YouTube
Taming AI agents with observability ft. Bernd Greifeneder | Technic...
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
How do you solve AI's biggest performance hurdles? On Technically Speaking, @kernelcdub & Nick Hill dive into vLLM, exploring how techniques like PagedAttention solve memory bottlenecks & accelerate inference: red.ht/4lDjJ5P.
It's tools, it's models, it's agents...the future of #AI is open source and collaboration. We have to build this together.
"The future of AI is going to be open sourced." In this clip, @kernelcdub of @RedHat explains why open source, open collaboration, and global ecosystems will define the next wave of AI, and how Red Hat empowers developers everywhere
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