Introducing Inference Day. 🚀 A free, live virtual event on the future of AI infrastructure. Nov 5, 8 to 11 AM PT. @kelseyhightower, @vfarcic, and builders from NVIDIA, Red Hat, Tetrate, Ericsson, Qualcomm and Dash0. Save your spot 👉 modelplane.ai/inference-day

The stack is a per-cluster choice in @Modelplane v0.4, and it's immutable, so adoption is incremental. Stand up a @NVIDIA Dynamo cluster next to the ones you already run. Same ModelDeployment on both. Blog link: modelplane.ai/blog/modelplan…

Modelplane v0.3 is out. Run Claude Code on your own GPUs: we now serve the Anthropic Messages API end to end. Plus @Vultr as a fifth cluster provider, per-cluster credentials for multi-account fleets, and a local test that runs with no cloud and no GPU. → modelplane.ai/blog/modelplan…

We measured our Claude Code usage at API prices: 13x our seat cost on average, 52x for our heaviest engineer. Nothing broke. That's Claude Code working as intended, once you see the meter. What's your subsidy multiple? → modelplane.ai/blog/ai-coding…

Cluster-level inference tooling is fine. It just doesn't help you orchestrate the GPUs you own. Nobody at scale runs one cluster. The fix: treat the ones you own as one pool. That's the fleet-level API we designed. How we built it →modelplane.ai/blog/how-we-de…

Modelplane v0.2 is out. Two new providers (@Nebius, @Azure AKS), weighted routing for safe model rollouts, and cluster taints to reserve or drain capacity. The models, engines, clouds, and accelerators you already run, operated as one system. →modelplane.ai/blog/modelplan…