SGLang recipes for long-context agentic traffic on B200 (NVFP4) or H200 (FP8), aggregated or disaggregated, with KV-aware routing, EAGLE MTP speculation, and HiCache CPU offload.
SGLang4x/12x B200 · 8x/16x H200Agentic · up to 500K context
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Inkling NVFP4
Thinking Machines
Day-0 aggregated SGLang recipe for Thinking Machines’ first open-weights model — multimodal MoE with controllable reasoning effort, TP8 with EAGLE speculation.
SGLang8x B200Text + image + audioDay-0
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Kimi-K2.6
Moonshot / NVIDIA
Multi-target vLLM matrix covering B200 and H200 for chat and agentic traffic, with Eagle3 MLA speculation and KV-aware routing.
vLLM4x B200 / 8x H200Chat + agentic
Open recipeAggregated vLLM targets for B200 and H200 chat and agentic traffic with MTP speculative decoding and trace-backed benchmarks.
vLLM4x B200 / 8x H200Chat + agentic
Open recipeNVFP4 and FP8 vLLM targets for B200 and H200 chat and agentic traffic with MTP speculative decoding and KV-aware routing.
vLLM4x B200 / 4x H200Chat + agentic
Open recipe20x GB200 SGLang P/D recipe for 1K input / 8K output traffic with EAGLE speculative decoding, plus an AWS EFA variant.
SGLang20x GB200Long output / static ISL-OSL
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DeepSeek-V4-Pro
NVIDIA checkpoint / DeepSeek
vLLM agentic recipe — MoE 1.6T / 49B active, B200 (NVFP4, 1M ctx) and H200 (FP8), aggregated or disaggregated with MTP-2 and KV-aware routing.
vLLM8–32x B200/H200Agentic
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DeepSeek-V4-Flash
NVIDIA checkpoint / DeepSeek
vLLM agentic recipe — MoE 284B / 13B active, B200 (NVFP4) and H200 (FP8), aggregated or disaggregated (2P1D / 4P3D) with KV-aware routing.
vLLM4–28x B200/H200Agentic
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DeepSeek V3.2 NVFP4
NVIDIA checkpoint / DeepSeek
32x GB200 TensorRT-LLM recipe with P/D split, KV-aware routing, and WideEP for long-context coding traces.
TRT-LLM32x GB200Long-context reuseRelated benchmark
Open recipeTensorRT-LLM GB200 targets for static traffic plus vLLM B200/H200 agentic targets (agg + disagg) with KV-aware routing and EAGLE3 speculative decoding.
TRT-LLM + vLLMGB200 · B200 · H200Static + agentic
Open recipeDisaggregated vLLM serving with KV-aware routing on 16x H200, for multi-turn conversational traffic with prefix reuse.
vLLM16x H200Multi-turn conversationRelated benchmark
Open recipe16-GPU TensorRT-LLM recipe matrix for Hopper/Blackwell and aggregate/P-D serving.
TRT-LLM16x H100/H200Static ISL-OSL
Open recipeFP8 recipe set spanning TensorRT-LLM aggregate, TensorRT-LLM P/D, and vLLM P/D targets.
TRT-LLM2-8x GPUStatic ISL-OSL
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Llama-3.3-70B FP8
Meta / Red Hat
Llama FP8 topology recipe set for 8K input / 1K output traffic on H100/H200.
vLLM4x H100/H200Long output / static ISL-OSLRelated benchmark
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