🎉 vLLM just crossed 4,000 contributors on GitHub!
From a research project at UC Berkeley to a community of 4,000 talent contributors building the leading open-source LLM inference engine together.
Every kernel, every model, every bug fix — this milestone belongs to all of you. Thank you! ❤️
Agents need real access to do useful work, and the infrastructure needs to enforce the boundaries.
OpenShell puts those controls outside the model and the harness. I think this is some of the most important work happening in open source right now.
Thank you @nvidia for bringing it to @CloudNativeFdn .
OpenShell 🤝 CNCF
Let's engineer AI safety together. NVIDIA is contributing OpenShell to CNCF as a Sandbox project, with more room for the community to help build it. https://t.co/08q992ttsP
OpenShell is joining @CloudNativeFdn 💚
Help shape how AI agents access data, use credentials, and execute code. If you’re building agents, we’d love your input!
Check out the project and contribute 👇
This is a big moment for NVIDIA and the OpenShell team. I’m super proud of what we have built and look forward to continue building with the CNCF community 💜
Pods are healthy. Services are running. Behind the scenes with the Day 1 #KubeCon#CloudNativeCon Keynote crew! 🚀
(This selfie contains exactly 0% YAML and 100% nervous backstage energy 😆)
The Open Secure AI Alliance is now part of the Linux Foundation.
Originally founded by @nvidia, the Open Secure AI Alliance will develop open source tools, shared standards, and defensive practices that help organizations inspect, audit, and secure AI systems.
Learn more: https://t.co/RoUtj3L0S2
Great work by the @inferact team; not just delivering performant K3 (up to 464 toks/s/us), nailing down ALL THE EDGE CASES for being full KVV compliant.
Tech always seems to find its way to openness as the right solution for innovation, security and competition. Periodically there are hiccups, like crypto export controls, algorithmic copyright, anti-net neutrality, and now banning open weights. But the long arc of the industry has been the right one ...
... it's wonderful to see the momentum shift this way again now. Let's keep pushing.
PyTorch Foundation member @NVIDIA just adopted OpenMDW-1.1 across four of its biggest open model families.
OpenMDW is the Linux Foundation's permissive licensing framework — originally launched in 2025 with the PyTorch Foundation — purpose-built for AI model distributions instead of being retrofitted from traditional software licenses.
By replacing fragmented, restrictive AI licenses with one unified legal framework covering models, weights, code, documentation, and data, OpenMDW gives developers clear rights to train, modify, contribute, redistribute, and deploy.
🔗 Learn more: https://t.co/ljOff6ozDb
Kubeflow SDK has reached 1M downloads 🚀
With a single Python library, users can now process data with @ApacheSpark → train models with @PyTorch and Trainer → tune HPs with Optimizer → manage artifacts with Kubeflow Hub.
👉 Check out the ROADMAP 2026
https://t.co/8BSZITycZX
"This post focuses on the slurm-operator, which is how NVIDIA runs Slurm on Kubernetes for large-scale GPU training clusters... finally, we share lessons from running Slinky in production at NVIDIA on clusters with over 1,000 GPU worker nodes and 8,000+ GPUs" https://t.co/OpXLbr60A9
Safetensors is joining the @PyTorch Foundation as a foundation-hosted project
It has always been open-source. Going forward, strategy and direction is now open
Now, safetensors has a clear path towards integration in torch core
ML is big, so is making it safe. Come contribute!
Come to #PytorchCon in Paris for the amazing open source AI keynotes and stay for the parties:
Tuesday April 7:
Flare Party 17:05 - 18:30: https://t.co/DLdqhG85Vi
Then join the Open Source AI Soirée from 18:30-21:00:
https://t.co/BydC8x4hn3 (**RSVP REQUIRED**)