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- # DeepSeek-V4.1-Flash — local-inference-lab r36 (jovian-judgement), 4x DCP1.
- #
- # THE lab's first published DS4.1 lock (qualified 2026-09-12): their image
- # localinferencelab/vllm:jovian-judgement-community-20260912-r36 serves GLM
- # (r35 lane) + DS4.1 (this recipe) in one two-layer image. We build the same
- # source composition for GB10 sm_121a from our own build dir
- # (docker-images/glm53-jovian-r27, profile jovian-r36-ds41 — the r36 delta
- # over our r35 pins is only vLLM 202a11a98eb + b12x 323107ff + liburing 2.5;
- # LMCache/FlashKDA/DeepGEMM/FI/torch are the SAME pins as the r35 build).
- #
- # Lab DS4.1 serving profile (models/deepseek-v4.1-flash.md, compose +
- # serve-ds41-jovian.sh/serve-ds41-flash.sh in the repo): TP4/DCP1, native
- # DSpark K7 (draft weights INSIDE the target checkpoint — no separate draft
- # download), greedy draft + standard rejection + adaptive verification,
- # B12X attention/MoE/linear, 131K context, 4 seqs / 4096 batched, block 256,
- # FULL_AND_PIECEWISE graphs capped at 128, InstantTensor, Engram ngram tables
- # in disk mode (io_uring; their 188.83 GiB RAM mode cannot fit a GB10 node —
- # 121.63 GiB unified pool).
- #
- # GB10 deviations from the RTX-qualified profile (documented):
- # - GMU 0.88 (theirs 0.95 on 96 GB RTX hosts; 0.95 fails GB10's startup
- # free-mem gate — the #48140 class, see the glm53 r35 recipe notes).
- # - CUTE_DSL_ARCH=sm_121a / arch 12.1a (theirs sm_120a; the published
- # image's native extension is sm_120 SASS — ours is built for GB10).
- # - NO VLLM_ENABLE_PCIE_ALLREDUCE (theirs is single-host PCIe; on our
- # 4-node switch fabric the launcher's NCCL/RoCE env is the transport).
- # - Engram disk mode, table on node-local NVMe (see [composed_model]
- # below): the NFS read path was the 4.1x prefill collapse (day
- # follow-up 2); their 188.83 GiB RAM mode cannot fit a GB10 node
- # (121.63 GiB unified pool) either way.
- # - VLLM_USE_V2_MODEL_RUNNER/AOT/MEGA_AOT env from their serve script
- # (their image bakes them; ours must carry them explicitly).
- #
- # A/B results (2026-09-13, 4nodes-switch, dev65/seed 42, vs the eugr dsv41
- # prod 167/176 / 1,642 pp / 47.0 tg / 1,738 ms TTFT):
- # - Engram on NFS: 158/176 (90), 401 pp, 33.7 tg, 5,061 ms TTFT — prefill
- # collapse (io_uring row reads over NFS).
- # - Engram on local NVMe (this recipe, composed_model.local_files + the
- # eugr lane's per-rank sparse copies), 131K: 149/176 (85), 3,654 pp,
- # 43.9 tg, 826 ms TTFT. At 512K (our floor): **154/176 (88), 3,774 pp,
- # 45.7 tg, 822 ms TTFT, KV 9.62M tokens (18.3x @512K)** — prefill 2.3x
- # prod, TTFT 2.1x better, decode −3%. Storage suspect CONFIRMED (9.1x
- # prefill vs the NFS run). Quality −13 vs prod = the K7 stack's
- # long-horizon cluster (TC-82/85 fail-or-partial in every r36 run,
- # TC-60/74 flapping). Status: CANDIDATE lane — best prefill/TTFT in
- # the fleet, −13 quality. Full write-up: history/night-shifts/2026-09-12.md
- # ("Day follow-up 2" / "3 09-13").
- #
- # A/B target: the current dsv41 prod (eugr image, DSpark K5 probabilistic,
- # 167/176, 1,642 pp / 47.0 tg / 1,738 ms TTFT @d0 c1, 512K, dev65). Same
- # bench (tool-eval-bench dev65, seed 42, hardmode, c1/c2) — the clean delta
- # isolates the engine stack (K7+adaptive+V2-runner+AOT+b12x-moe vs K5).
- engine = "vllm"
- name = "DeepSeek-V4.1-Flash (jovian r36 img, 4x DCP1, DSpark K7 greedy + Engram disk)"
- docker_image = "jovian-r36-ds41:local"
- docker_image_dir = "glm53-jovian-r27"
- build_profile = "jovian-r36-ds41"
- model = "deepseek-ai/DeepSeek-V4.1-Flash"
- parent_model = "deepseek-ai/DeepSeek-V4.1-Flash"
- required_nodes = 4
- tensor_parallel_size = 4
- pipeline_parallel_size = 1
- distributed_backend = "mp"
- shm_size = "32gb"
- # Our r27 build dir images ship with ENTRYPOINT [] — set it explicitly.
- entrypoint = ["vllm", "serve"]
- args = [
- "--served-model-name", "dsv41",
- "--trust-remote-code",
- "--distributed-executor-backend", "mp",
- # GB10 startup-gate value (see header); KV pool is engine-computed from
- # the remainder (no pin — their profile pins nothing either).
- "--gpu-memory-utilization", "0.88",
- # 512K context (our floor — their qualified 131K is not usable for us;
- # the KV pool is engine-computed from the memory budget, unchanged):
- "--max-model-len", "524288",
- "--decode-context-parallel-size", "1",
- "--max-num-seqs", "4",
- "--max-num-batched-tokens", "4096",
- "--prefill-compute-share", "0.4",
- "--block-size", "256",
- "--enable-chunked-prefill",
- "--enable-prefix-caching",
- "--kv-cache-dtype", "fp8",
- "--attention-backend", "B12X",
- "--linear-backend", "b12x",
- "--moe-backend", "b12x",
- "--compilation-config", """
- '{"cudagraph_mode":"FULL_AND_PIECEWISE"}'""",
- "--max_cudagraph_capture_size", "128",
- # Native DSpark K7 — the draft weights live inside the target checkpoint
- # (no separate draft repo). Greedy draft, standard rejection, adaptive
- # verification (the lab's r36 qualified trio vs our prod's K5
- # probabilistic/block).
- "--speculative-config", """
- '{"method":"dspark","num_speculative_tokens":7,"draft_tensor_parallel_size":4,"attention_backend":"B12X","draft_sample_method":"greedy","rejection_sample_method":"standard","enable_adaptive_verification":true}'""",
- # Engram: the model's 196B learned ngram lookup storage. disk mode =
- # io_uring reads of the table rows from the checkpoint dir (bounded
- # staging; NOT pinned RAM). cpu_offload stays false (no generic CPU
- # model offload).
- "--engram-config", """
- '{"cpu_offload":false,"table_memory":"disk"}'""",
- "--load-format", "instanttensor",
- "--safetensors-load-strategy", "lazy",
- "--generation-config", "vllm",
- "--override-generation-config", """
- '{"temperature":1.0,"top_p":0.95}'""",
- "--limit-mm-per-prompt", """
- '{"image":2}'""",
- "--reasoning-parser", "deepseek_v41",
- "--tool-call-parser", "deepseek_v41",
- "--enable-auto-tool-choice",
- "--jit-monitor-mode", "error",
- ]
- [env]
- # Their serve-ds41-jovian.sh runtime env (multi-node-adapted; the launcher
- # injects NCCL_SOCKET_IFNAME/IB_HCA/GID + VLLM_HOST_IP per node).
- NCCL_NCHANNELS = "16"
- NCCL_MIN_NCHANNELS = "16"
- NCCL_MAX_NCHANNELS = "16"
- NCCL_BUFFSIZE = "2097152"
- OMP_NUM_THREADS = "8"
- CUDA_DEVICE_MAX_CONNECTIONS = "32"
- # GB10 arch (theirs sm_120a on RTX PRO 6000):
- CUTE_DSL_ARCH = "sm_121a"
- TORCH_CUDA_ARCH_LIST = "12.1a"
- # Their V2 model-runner + AOT compile pipeline (baked in their image env):
- VLLM_USE_V2_MODEL_RUNNER = "1"
- VLLM_USE_AOT_COMPILE = "1"
- VLLM_USE_STANDALONE_COMPILE = "1"
- VLLM_USE_MEGA_AOT_ARTIFACT = "1"
- VLLM_USE_BREAKABLE_CUDAGRAPH = "0"
- VLLM_USE_FLASHINFER_SAMPLER = "1"
- VLLM_WORKER_MULTIPROC_METHOD = "spawn"
- VLLM_EXECUTE_MODEL_TIMEOUT_SECONDS = "900"
- HF_HUB_OFFLINE = "1"
- # Deliberately NOT set: VLLM_ENABLE_PCIE_ALLREDUCE (single-host PCIe in
- # their profile; cross-node on the switch fabric uses the launcher's NCCL),
- # VLLM_HOST_IP (launcher per-node), NCCL_SOCKET_IFNAME (launcher per cluster).
- # --- Engram from node-local NVMe, the rest from the shared NAS ---
- # [composed_model] (standard launcher feature) builds a per-node /tmp dir:
- # the whole DSV4.1 snapshot symlinked into the HF cache + the two 101.5 GB
- # Engram table shards (model-00047/00048) HARDLINKED from the pre-existing
- # per-rank sparse copies in /var/tmp/engram-local (48 GB real per node, built
- # for the eugr/aiden lanes — offset-preserving full-size files, only this
- # rank's rows materialized; hardlink = zero extra disk, same fs as /tmp).
- # The r36 io_uring PLE reader then reads this rank's table rows from local
- # NVMe (no NFS); weights stream from the NAS at load time (one-shot, same as
- # prod). Local files run after the repo symlinks and win at the same name.
- [composed_model]
- mount = "/model"
- [[composed_model.sources]]
- repo = "deepseek-ai/DeepSeek-V4.1-Flash" # whole snapshot, symlinked into the HF cache
- [[composed_model.local_files]] # hardlinks win over the symlinks above
- host = "/var/tmp/engram-local/DeepSeek-V4.1-Flash/model-00047-of-00048.safetensors"
- [[composed_model.local_files]]
- host = "/var/tmp/engram-local/DeepSeek-V4.1-Flash/model-00048-of-00048.safetensors"
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