# DeepSeek-V4-Flash-DSpark — 2× GB10 / DGX Spark, TP=2 over RoCE. # Uses the DSpark speculative decoding method with aidendle94's production-3.7 image. # # Image: aidendle94/sparkrun-vllm-ds4-gb10:production-3.7 # Latest GB10-native image with DSpark support, b12x MoE, and multi-node fixes. # Model: deepseek-ai/DeepSeek-V4-Flash-DSpark # The DSpark variant tuned for speculative decoding on DGX Spark. # # Reference: Nvidia Developer Forum — DeepSeek-V4-Flash-DSpark recipe # https://forums.developer.nvidia.com/t/recipe-deepseek-v4-flash-dspark-on-dgx-spark/340994 engine = "vllm" name = "DeepSeek V4 Flash DSpark (vLLM)" docker_image = "aidendle94/sparkrun-vllm-ds4-gb10:production-3.75" model = "deepseek-ai/DeepSeek-V4-Flash-DSpark" required_nodes = 2 tensor_parallel_size = 2 pipeline_parallel_size = 1 distributed_backend = "mp" shm_size = "32gb" entrypoint = ["vllm", "serve"] args = [ "--kv-cache-dtype", "fp8", "--block-size", "256", "--load-format", "auto", "--max-model-len", "524288", "--max-num-seqs", "16", "--max-num-batched-tokens", "16536", "--max-cudagraph-capture-size", "16", "--gpu-memory-utilization", "0.84", "--served-model-name", "deepseek-v4-flash", "default", # Engine backends "--attention-backend", "FLASHINFER_MLA_SPARSE_DSV4", "--moe-backend", "b12x", # Chunked prefill + prefix caching "--enable-chunked-prefill", "--enable-prefix-caching", "--enable-flashinfer-autotune", # Compilation "--compilation-config", """ '{"cudagraph_mode":"FULL_AND_PIECEWISE","custom_ops":["all"]}'""", # Async scheduling "--async-scheduling", "--no-scheduler-reserve-full-isl", # DSpark speculative decoding "--speculative-config", """ '{"method":"dspark","num_speculative_tokens":7,"draft_sample_method":"greedy"}'""", # Tokenizer / reasoning "--tokenizer-mode", "deepseek_v4", "--tool-call-parser", "deepseek_v4", "--reasoning-parser", "deepseek_v4", "--enable-auto-tool-choice", "--generation-config", "vllm", "--default-chat-template-kwargs.thinking=true", "--default-chat-template-kwargs.reasoning_effort=high", "--default-chat-template-kwargs.temperature=0.95", "--default-chat-template-kwargs.top_p=0.40", # Disable custom all-reduce (not needed on GB10 single-NIC) "--disable-custom-all-reduce", "--trust-remote-code", ] [env] # DSpark speculative decoding VLLM_DSPARK_REPLICATE_MARKOV_W1 = "1" # b12x MoE (this image's primary path) VLLM_USE_B12X_MOE = "1" # VLLM_USE_B12X_MOE = "0" # b12x MoE OFF -> cutlass W4A8 (b12x MoE prefill stalls on GB10) # b12x suite = REQUIRED by this image VLLM_USE_B12X_MHC = "1" VLLM_USE_B12X_WO_PROJECTION = "1" VLLM_USE_B12X_FP8_GEMM = "1" VLLM_USE_B12X_SPARSE_INDEXER = "1" VLLM_USE_V2_MODEL_RUNNER = "1" VLLM_USE_FLASHINFER_SAMPLER = "1" VLLM_USE_AOT_COMPILE = "1" VLLM_USE_MEGA_AOT_ARTIFACT = "0" VLLM_USE_BREAKABLE_CUDAGRAPH = "0" VLLM_MEMORY_PROFILE_INCLUDE_ATTN = "1" VLLM_PREFIX_CACHE_RETENTION_INTERVAL = "4096" B12X_MLA_SM120_UNIFIED = "1" B12X_DENSE_SPLITK_TURBO = "1" B12X_W4A16_TC_DECODE = "1" B12X_MHC_MAX_TOKENS = "16384" # GPU memory management CUTE_DSL_ARCH = "sm_121a" PYTORCH_CUDA_ALLOC_CONF = "expandable_segments:True" OMP_NUM_THREADS = "4" # Offline mode HF_HUB_OFFLINE = "1" # Compile-time arch hints TORCH_CUDA_ARCH_LIST = "12.1a" # NCCL overrides (cluster config ib_hca/socket_ifname used for most; recipe wins last) NCCL_P2P_LEVEL = "2" NCCL_CUMEM_ENABLE = "0" NCCL_IB_TIMEOUT = "24" NCCL_IB_QPS_PER_CONNECTION = "8" NCCL_BUFFERSIZE = "16777216" NCCL_SOCKET_FAMILY = "inet" # PCIe allreduce not needed on GB10 single-NIC VLLM_ENABLE_PCIE_ALLREDUCE = "0" VLLM_PCIE_ALLREDUCE_BACKEND = "cpp" # GPU device isolation (single GPU per node) CUDA_VISIBLE_DEVICES = "0" CUDA_DEVICE_ORDER = "PCI_BUS_ID" CUDA_CACHE_MAXSIZE = "4294967296"