5 chapters. 17 industry experts. A look at Europe’s AI future.
Meet the voices setting the stage at the #NVIDIAGTC Berlin keynote pregame show, exploring sovereign AI, enterprise intelligence, AI safety, AI factories, physical AI, and the growth engines shaping Europe’s future.
Watch live October 21 at 9 a.m. CEST → https://t.co/0LCpWkGxbS
When measuring open source security, counting vulnerabilities only tells part of the story. Real risk depends on context, attack paths, and how fast reusable fixes can travel through the software ecosystem. Check out the new Open Source Security Signals: https://t.co/E4ujRDCsnK
Forced upgrades don't secure production apps, they destabilize them. On this episode of Technically Speaking, Red Hat CTO @kernelcdub and VP Mike McGrath discuss replacing risky dependency bumps with agentic AI patch factories. 🎧 Listen to the full discussion: https://t.co/dNq8vlro4P
Heavy legal policies don't prevent Shadow AI, they accelerate it. On this episode of Technically Speaking, Red Hat CTO @kernelcdub and CIO Marco Bill discuss replacing policy bloat with automated platform guardrails and hybrid cloud compute. 🎧 Stream the full discussion: https://t.co/XhbDor5hLi
We need “trust but verify for AI, and more often than not, “don’t trust and oversee.” Without that, I’m hard-pressed to see how enterprises will trust AI agents to take action across their systems.
The good news is that it’s hard for an agent to scheme when we can see what it’s doing and independently enforce the boundaries around what it’s allowed to do.
We're really excited about working with @nvidia on this to use the transparency of AI thinking to oversee what it's doing and keep the scheming to a minimum: https://t.co/02LSa6l5s9.
The big hurdle in enterprise AI isn't always model capability; it’s legacy infrastructure debt. Hear how Red Hat CIO Marco Bill and CTO @kernelcdub tackled 20 years of IT complexity to create an AI-ready architecture.
📺 Watch the full episode of Technically Speaking: https://t.co/XhbDor5hLi.
We’re excited to be a sponsor of the @OpenClaw Foundation! Autonomous AI agents can transform IT, but production requires runtime security and hybrid cloud flexibility.
Learn more about how we're helping advance open source agentic AI in production: https://t.co/oVf5YALdI9
Spot on. Theory is easy... real-world production takes work. The strength of open source is that it gives enterprises the flexibility and choice to bring AI models directly to where their data lives. Great seeing how our teams are proving this out every day!
Enterprise AI isn't built on theory; it's built in production. See how we turn complex business challenges into real-world experience at @RedHat with our AI agents for sales (https://t.co/NHemChEGlG) and enterprise data (https://t.co/SFQLjv2vSG).
Exciting day for NVIDIA and @huggingface.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI.
Thank you @ClementDelangue for coming to me.
NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗
https://t.co/q8Om2Xc5ye
Moving from AI ambition to real execution requires looking past the interface and fixing the legacy IT plumbing underneath. Red Hat CTO @kernelcdub and CIO Marco Bill break down what it really takes to prepare enterprise architecture for AI on Technically Speaking. 🧵👇
Just like the Linux kernel handles the heavy lifting behind the scenes for your applications, PyTorch sits between your hardware and high-level runtimes to handle complicated tensor math and accelerator offloading.
🔗 Learn more in the full episode of Technically Speaking with @kernelcdub: https://t.co/VAqtWolkOC
Securing AI is a software engineering challenge. When we isolate tech behind closed doors, we shift risk rather than solving it. Read my latest blog on why open source models, agentic harnesses, and transparent sandboxing are essential for IT security: https://t.co/K3ArU3Bqrw.
How are leading organizations moving #AI from experimentation to enterprise value? Hear from @RedHat CTO @kernelcdub on how hybrid cloud platforms help scale AI workloads efficiently: https://t.co/sLHQjWrWkk
AI has drawn a lot of attention to cybersecurity. The response is strongest as a community. The Open Secure AI Alliance is moving fast. Important effort on incident response:
https://t.co/CYTkKohBHX
A ton of activity outlined in @nvidia's blog:
https://t.co/0pUjcjWUov
Red Hat is proud to join @NVIDIA’s Open Secure AI Alliance to advance safety, transparency, and open tooling. Red Hat CTO @kernelcdub highlights how we're delivering enterprise infrastructure that can be trusted for the road ahead: https://t.co/AXG1ISf9wQ
Kimi K3 open weights landed yesterday. By that afternoon, Red Hat AI Inference was serving it on one 8x B300 node. 2.8T params.
Day-0 preview images exist so you can experiment the moment weights drop. 👇 https://t.co/mNcQkxofqn
Kimi K3 open weights landed yesterday. By that afternoon, Red Hat AI Inference was serving it on one 8x B300 node. 2.8T params.
Day-0 preview images exist so you can experiment the moment weights drop. 👇 https://t.co/mNcQkxofqn