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Dynamo v1.3.0-kimi-k2.6-dev.1

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@dagil-nvidia dagil-nvidia released this 04 Jun 01:45
bb31978

Release Notes

Dynamo v1.3.0-kimi-k2.6-dev.1 is an experimental dev build giving an early look at Moonshot AI Kimi K2.6 support on the Dynamo vLLM backend. It is not recommended for production — features may be incomplete and APIs, behaviors, and defaults may change before the stable release. Use it for evaluation, testing, and early feedback only.

Summary

Dynamo v1.3.0-kimi-k2.6-dev.1 adds Moonshot AI Kimi K2.6 (moonshotai/Kimi-K2.6) serving on the Dynamo vLLM backend, with aggregated deployment recipes for B200 (NVFP4) and H200 (INT4) across chat and agentic profiles (#10187). It builds from a recent main commit (d1d794c2) on a vLLM v0.21 runtime base. Only the vLLM container is published.

Branch: release/1.3.0-kimi-k2.6-dev.1, built from commit d1d794c2
vLLM: v0.21 runtime base

Container Images

Backend Arch Image
vLLM (CUDA 13) multi-arch (amd64 + arm64) nvcr.io/nvidia/ai-dynamo/vllm-runtime:1.3.0-kimi-k2.6-dev.1

Backend Versions

Backend Source CUDA Python Notes
vLLM Dynamo-built runtime on a vLLM v0.21 base 13.0 3.12

Models

Model Precision GPU Notes
nvidia/Kimi-K2.6-NVFP4 NVFP4 B200 served as moonshotai/Kimi-K2.6; aggregated; chat + agentic; eagle3-mla speculative decoding (lightseekorg/kimi-k2.6-eagle3-mla)
moonshotai/Kimi-K2.6 INT4 H200 aggregated; chat + agentic; eagle3-mla speculative decoding

Full Changelog

Recipes

  • Kimi K2.6 Deployment Recipes: Added Kimi K2.6 serving recipes and Kubernetes deployment configurations for B200 (NVFP4) and H200 (INT4) across chat and agentic workloads, with model-cache download/PVC manifests and a trace-replay performance job (recipe folder, README, #10187).