Open source & cloud (@openstack @openinfradev); Entrepreneur fan (@OurVentureLab); dad, ex-rancher, lapsed pilot
Joined November 2007
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- Following1.1K
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Jonathan Bryce retweeted
🎉 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 .
Neutral governance gives more developers and companies a chance to shape its future. Come build with us:
cncf.io/projects/openshell/
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Jonathan Bryce retweeted
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. blogs.nvidia.com/blog/open-s…
Jonathan Bryce retweeted
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 👇
Securing AI agents starts at the runtime layer, not just in prompts.
OpenShell is now in the CNCF Sandbox, bringing policy isolation, network controls, and credential management to autonomous agents.
Read more: cncf.io/announcements/2026/1…
#OpenSource #AI
Jonathan Bryce retweeted
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 💜
Securing AI agents starts at the runtime layer, not just in prompts.
OpenShell is now in the CNCF Sandbox, bringing policy isolation, network controls, and credential management to autonomous agents.
Read more: cncf.io/announcements/2026/1…
#OpenSource #AI
Jonathan Bryce retweeted
Super excited for KubeRay to join the CNCF! Check out our booth at KubeCon if you're here.
Big news at KubeCon Americas.
KubeRay is joining the @CloudNativeFdn
Keep your KubeRay stack and add the Anyscale Control Plane in minutes. Find us at #KubeCon booth #P317.
na2.hubs.ly/H08TY0t0
Jonathan Bryce retweeted
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 😆)
Jonathan Bryce retweeted
Agent Substrate is very likely to become the agentic compute fabric. More tomorrow at the Kubecon keynote!
Jonathan Bryce retweeted
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: bit.ly/3UqS67S
Jonathan Bryce retweeted
see you in Shanghai!
Shanghai, the #OpenSource community is heading your way! 🇨🇳
In less than 2 weeks, meet attendees from Alibaba, Ant Group, ByteDance, Huawei, Tencent, NVIDIA, Google, Microsoft, Meta, + more at #KubeCon + #CloudNativeCon + #OpenInfraSummit + #PyTorchCon China.
📅 September 7-9
Register now: bit.ly/3NG8hv1
Jonathan Bryce retweeted
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.
With @inferact, @vllm_project is now officially verified by @Kimi_Moonshot to serve Kimi K3 with full accuracy, according to the Kimi Vendor Verifier.
As the leading inference engine, vLLM delivers best results across vision, 1M context, and agentic coding; with prod quality.
Jonathan Bryce retweeted
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.
Jonathan Bryce retweeted
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: linuxfoundation.org/press/li…
Jonathan Bryce retweeted
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
github.com/kubeflow/sdk/blob…
Jonathan Bryce retweeted
"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" developer.nvidia.com/blog/ru…
Jonathan Bryce retweeted
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!
Jonathan Bryce retweeted
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: pytorchconferenceeu2026.sche…
Then join the Open Source AI Soirée from 18:30-21:00:
luma.com/ya2wihmc (**RSVP REQUIRED**)
Jonathan Bryce retweeted
"Kubernetes-Orchestrated Hybrid Quantum-Classical Workflows" arxiv.org/abs/2603.24206
