Add Kimi K2.5 disagg STP and MTP recipes for GB200 NVfp4 (ISL8K_OSL1K…#24
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nlevin-ui merged 6 commits intoNVIDIA:sa-submission-q2-2026from Apr 10, 2026
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… and ISL1K_OSL1K) Add optimized disaggregated inference recipes for Kimi K2.5 model with NVfp4 precision on GB200 GPUs. Includes both STP and MTP configurations for ISL8K_OSL1K and ISL1K_OSL1K workloads covering concurrency points from 5 to 2253, with Eagle speculative decoding for MTP variants.
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…and env cleanup - Update container to tensorrtllm-runtime-1.1.0-dev.2.sqsh - Point model path to shared /mnt/lustre01/models/kimi-k2.5-nvfp4 - Update Eagle model mount path for MTP configs - Remove HF_HOME (defaults to ~/.cache/huggingface) - Fix concurrency separator from space to 'x' for sa-bench compatibility - Enable multiple frontends for ctx1dep4_gen1dep32_batch64
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nlevin-ui
reviewed
Apr 10, 2026
| # concurrency: 666 | ||
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| model: | ||
| path: "/mnt/lustre01/models/kimi-k2.5-nvfp4" |
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The paths and containers should not be cluster specific. The srtslurm.yaml should map the generic names to the specific cluster names.
path: "kimi-k2.5-nvfp4"
container: "vllm/vllm-openai:v0.18.0-cu130"
as seen here: https://github.com/NVIDIA/srt-slurm/blob/sa-submission-q2-2026/recipes/vllm/kimi-k2.5/1k1k/disagg-gb200-1p1d-dep4-dep16.yaml#L4C1-L5C46
Replace cluster-specific paths with generic alias names that are resolved via srtslurm.yaml model_paths and containers mappings, as per upstream convention.
Add model_paths alias resolution for extra_mount host paths in config.py, enabling MTP recipes to use generic name "kimi-k2.5-eagle3" instead of cluster-specific path for the Eagle speculative decoding model.
nlevin-ui
approved these changes
Apr 10, 2026
Per review feedback, update model paths to HuggingFace format (nvidia/Kimi-K2.5-NVFP4) and container to full NVCR registry path (nvcr.io/nvidia/ai-dynamo/tensorrtllm-runtime:1.1.0-dev.2) so recipes are portable and work without pre-built sqsh files.
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Add optimized disaggregated inference recipes for Kimi K2.5 model with NVfp4 precision on GB200 GPUs. Includes both STP and MTP configurations for ISL8K_OSL1K and ISL1K_OSL1K workloads covering concurrency points from 5 to 2253, with Eagle speculative decoding for MTP variants.