{
  "hf_id": "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
  "meta": {
    "title": "NVIDIA Nemotron-3-Ultra-550B-A55B",
    "slug": "nemotron-3-ultra-550b-a55b",
    "provider": "NVIDIA",
    "description": "NVIDIA Nemotron 3 Ultra hybrid Transformer-Mamba MoE model for long-context agentic reasoning, coding, and tool use.",
    "date_added": "2026-06-04",
    "date_updated": "2026-09-10",
    "tasks": [
      "text"
    ],
    "performance_headline": "550B total / 55B active parameters with BF16 and NVFP4 serving paths",
    "related_recipes": [
      "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-BF16"
    ],
    "hardware": {
      "b200": "verified"
    }
  },
  "recommended_command": {
    "hardware": "h200",
    "strategy": "multi_node_tp",
    "variant": "default",
    "node_count": 2,
    "deploy_type": "multi_node",
    "env": {
      "VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS": "1",
      "GLOO_SOCKET_IFNAME": "$IFACE_NAME",
      "NCCL_SOCKET_IFNAME": "$IFACE_NAME"
    },
    "docker_image": "vllm/vllm-openai:v0.28.0",
    "head_command": "vllm serve nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 \\\n  --served-model-name nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B \\\n  --trust-remote-code \\\n  --kv-cache-dtype fp8 \\\n  --max-num-seqs 16 \\\n  --max-model-len 262144 \\\n  --gpu-memory-utilization 0.90 \\\n  --max-num-batched-tokens 32768 \\\n  --enable-flashinfer-autotune \\\n  --async-scheduling \\\n  --mamba-backend triton \\\n  --mamba-ssm-cache-dtype float32 \\\n  --tensor-parallel-size 16 \\\n  --nnodes 2 \\\n  --node-rank 0 \\\n  --master-addr $HEAD_IP \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder \\\n  --reasoning-parser nemotron_v3 \\\n  --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":5}'",
    "worker_command": "vllm serve nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 \\\n  --served-model-name nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B \\\n  --trust-remote-code \\\n  --kv-cache-dtype fp8 \\\n  --max-num-seqs 16 \\\n  --max-model-len 262144 \\\n  --gpu-memory-utilization 0.90 \\\n  --max-num-batched-tokens 32768 \\\n  --enable-flashinfer-autotune \\\n  --async-scheduling \\\n  --mamba-backend triton \\\n  --mamba-ssm-cache-dtype float32 \\\n  --tensor-parallel-size 16 \\\n  --nnodes 2 \\\n  --node-rank 1 \\\n  --master-addr $HEAD_IP \\\n  --headless \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder \\\n  --reasoning-parser nemotron_v3 \\\n  --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":5}'",
    "worker_commands": [
      "vllm serve nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 \\\n  --served-model-name nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B \\\n  --trust-remote-code \\\n  --kv-cache-dtype fp8 \\\n  --max-num-seqs 16 \\\n  --max-model-len 262144 \\\n  --gpu-memory-utilization 0.90 \\\n  --max-num-batched-tokens 32768 \\\n  --enable-flashinfer-autotune \\\n  --async-scheduling \\\n  --mamba-backend triton \\\n  --mamba-ssm-cache-dtype float32 \\\n  --tensor-parallel-size 16 \\\n  --nnodes 2 \\\n  --node-rank 1 \\\n  --master-addr $HEAD_IP \\\n  --headless \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder \\\n  --reasoning-parser nemotron_v3 \\\n  --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":5}'"
    ],
    "head_argv": [
      "vllm",
      "serve",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
      "--served-model-name",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B",
      "--trust-remote-code",
      "--kv-cache-dtype",
      "fp8",
      "--max-num-seqs",
      "16",
      "--max-model-len",
      "262144",
      "--gpu-memory-utilization",
      "0.90",
      "--max-num-batched-tokens",
      "32768",
      "--enable-flashinfer-autotune",
      "--async-scheduling",
      "--mamba-backend",
      "triton",
      "--mamba-ssm-cache-dtype",
      "float32",
      "--tensor-parallel-size",
      "16",
      "--nnodes",
      "2",
      "--node-rank",
      "0",
      "--master-addr",
      "$HEAD_IP",
      "--enable-auto-tool-choice",
      "--tool-call-parser",
      "qwen3_coder",
      "--reasoning-parser",
      "nemotron_v3",
      "--speculative-config",
      "{\"method\":\"mtp\",\"num_speculative_tokens\":5}"
    ],
    "worker_argv": [
      "vllm",
      "serve",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
      "--served-model-name",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B",
      "--trust-remote-code",
      "--kv-cache-dtype",
      "fp8",
      "--max-num-seqs",
      "16",
      "--max-model-len",
      "262144",
      "--gpu-memory-utilization",
      "0.90",
      "--max-num-batched-tokens",
      "32768",
      "--enable-flashinfer-autotune",
      "--async-scheduling",
      "--mamba-backend",
      "triton",
      "--mamba-ssm-cache-dtype",
      "float32",
      "--tensor-parallel-size",
      "16",
      "--nnodes",
      "2",
      "--node-rank",
      "1",
      "--master-addr",
      "$HEAD_IP",
      "--headless",
      "--enable-auto-tool-choice",
      "--tool-call-parser",
      "qwen3_coder",
      "--reasoning-parser",
      "nemotron_v3",
      "--speculative-config",
      "{\"method\":\"mtp\",\"num_speculative_tokens\":5}"
    ],
    "worker_argvs": [
      [
        "vllm",
        "serve",
        "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
        "--served-model-name",
        "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B",
        "--trust-remote-code",
        "--kv-cache-dtype",
        "fp8",
        "--max-num-seqs",
        "16",
        "--max-model-len",
        "262144",
        "--gpu-memory-utilization",
        "0.90",
        "--max-num-batched-tokens",
        "32768",
        "--enable-flashinfer-autotune",
        "--async-scheduling",
        "--mamba-backend",
        "triton",
        "--mamba-ssm-cache-dtype",
        "float32",
        "--tensor-parallel-size",
        "16",
        "--nnodes",
        "2",
        "--node-rank",
        "1",
        "--master-addr",
        "$HEAD_IP",
        "--headless",
        "--enable-auto-tool-choice",
        "--tool-call-parser",
        "qwen3_coder",
        "--reasoning-parser",
        "nemotron_v3",
        "--speculative-config",
        "{\"method\":\"mtp\",\"num_speculative_tokens\":5}"
      ]
    ],
    "head_docker_command": "docker run --gpus all \\\n  --privileged --ipc=host -p 8000:8000 \\\n  -v ~/.cache/huggingface:/root/.cache/huggingface \\\n  -e VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1 \\\n  -e GLOO_SOCKET_IFNAME=$IFACE_NAME \\\n  -e NCCL_SOCKET_IFNAME=$IFACE_NAME \\\n  vllm/vllm-openai:v0.28.0 nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 \\\n  --served-model-name nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B \\\n  --trust-remote-code \\\n  --kv-cache-dtype fp8 \\\n  --max-num-seqs 16 \\\n  --max-model-len 262144 \\\n  --gpu-memory-utilization 0.90 \\\n  --max-num-batched-tokens 32768 \\\n  --enable-flashinfer-autotune \\\n  --async-scheduling \\\n  --mamba-backend triton \\\n  --mamba-ssm-cache-dtype float32 \\\n  --tensor-parallel-size 16 \\\n  --nnodes 2 \\\n  --node-rank 0 \\\n  --master-addr $HEAD_IP \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder \\\n  --reasoning-parser nemotron_v3 \\\n  --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":5}'",
    "worker_docker_command": "docker run --gpus all \\\n  --privileged --ipc=host -p 8000:8000 \\\n  -v ~/.cache/huggingface:/root/.cache/huggingface \\\n  -e VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1 \\\n  -e GLOO_SOCKET_IFNAME=$IFACE_NAME \\\n  -e NCCL_SOCKET_IFNAME=$IFACE_NAME \\\n  vllm/vllm-openai:v0.28.0 nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 \\\n  --served-model-name nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B \\\n  --trust-remote-code \\\n  --kv-cache-dtype fp8 \\\n  --max-num-seqs 16 \\\n  --max-model-len 262144 \\\n  --gpu-memory-utilization 0.90 \\\n  --max-num-batched-tokens 32768 \\\n  --enable-flashinfer-autotune \\\n  --async-scheduling \\\n  --mamba-backend triton \\\n  --mamba-ssm-cache-dtype float32 \\\n  --tensor-parallel-size 16 \\\n  --nnodes 2 \\\n  --node-rank 1 \\\n  --master-addr $HEAD_IP \\\n  --headless \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder \\\n  --reasoning-parser nemotron_v3 \\\n  --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":5}'",
    "worker_docker_commands": [
      "docker run --gpus all \\\n  --privileged --ipc=host -p 8000:8000 \\\n  -v ~/.cache/huggingface:/root/.cache/huggingface \\\n  -e VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1 \\\n  -e GLOO_SOCKET_IFNAME=$IFACE_NAME \\\n  -e NCCL_SOCKET_IFNAME=$IFACE_NAME \\\n  vllm/vllm-openai:v0.28.0 nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 \\\n  --served-model-name nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B \\\n  --trust-remote-code \\\n  --kv-cache-dtype fp8 \\\n  --max-num-seqs 16 \\\n  --max-model-len 262144 \\\n  --gpu-memory-utilization 0.90 \\\n  --max-num-batched-tokens 32768 \\\n  --enable-flashinfer-autotune \\\n  --async-scheduling \\\n  --mamba-backend triton \\\n  --mamba-ssm-cache-dtype float32 \\\n  --tensor-parallel-size 16 \\\n  --nnodes 2 \\\n  --node-rank 1 \\\n  --master-addr $HEAD_IP \\\n  --headless \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder \\\n  --reasoning-parser nemotron_v3 \\\n  --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":5}'"
    ],
    "head_docker_argv": [
      "docker",
      "run",
      "--gpus",
      "all",
      "--privileged",
      "--ipc=host",
      "-p",
      "8000:8000",
      "-v",
      "~/.cache/huggingface:/root/.cache/huggingface",
      "-e",
      "VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1",
      "-e",
      "GLOO_SOCKET_IFNAME=$IFACE_NAME",
      "-e",
      "NCCL_SOCKET_IFNAME=$IFACE_NAME",
      "vllm/vllm-openai:v0.28.0",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
      "--served-model-name",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B",
      "--trust-remote-code",
      "--kv-cache-dtype",
      "fp8",
      "--max-num-seqs",
      "16",
      "--max-model-len",
      "262144",
      "--gpu-memory-utilization",
      "0.90",
      "--max-num-batched-tokens",
      "32768",
      "--enable-flashinfer-autotune",
      "--async-scheduling",
      "--mamba-backend",
      "triton",
      "--mamba-ssm-cache-dtype",
      "float32",
      "--tensor-parallel-size",
      "16",
      "--nnodes",
      "2",
      "--node-rank",
      "0",
      "--master-addr",
      "$HEAD_IP",
      "--enable-auto-tool-choice",
      "--tool-call-parser",
      "qwen3_coder",
      "--reasoning-parser",
      "nemotron_v3",
      "--speculative-config",
      "{\"method\":\"mtp\",\"num_speculative_tokens\":5}"
    ],
    "worker_docker_argv": [
      "docker",
      "run",
      "--gpus",
      "all",
      "--privileged",
      "--ipc=host",
      "-p",
      "8000:8000",
      "-v",
      "~/.cache/huggingface:/root/.cache/huggingface",
      "-e",
      "VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1",
      "-e",
      "GLOO_SOCKET_IFNAME=$IFACE_NAME",
      "-e",
      "NCCL_SOCKET_IFNAME=$IFACE_NAME",
      "vllm/vllm-openai:v0.28.0",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
      "--served-model-name",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B",
      "--trust-remote-code",
      "--kv-cache-dtype",
      "fp8",
      "--max-num-seqs",
      "16",
      "--max-model-len",
      "262144",
      "--gpu-memory-utilization",
      "0.90",
      "--max-num-batched-tokens",
      "32768",
      "--enable-flashinfer-autotune",
      "--async-scheduling",
      "--mamba-backend",
      "triton",
      "--mamba-ssm-cache-dtype",
      "float32",
      "--tensor-parallel-size",
      "16",
      "--nnodes",
      "2",
      "--node-rank",
      "1",
      "--master-addr",
      "$HEAD_IP",
      "--headless",
      "--enable-auto-tool-choice",
      "--tool-call-parser",
      "qwen3_coder",
      "--reasoning-parser",
      "nemotron_v3",
      "--speculative-config",
      "{\"method\":\"mtp\",\"num_speculative_tokens\":5}"
    ],
    "worker_docker_argvs": [
      [
        "docker",
        "run",
        "--gpus",
        "all",
        "--privileged",
        "--ipc=host",
        "-p",
        "8000:8000",
        "-v",
        "~/.cache/huggingface:/root/.cache/huggingface",
        "-e",
        "VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1",
        "-e",
        "GLOO_SOCKET_IFNAME=$IFACE_NAME",
        "-e",
        "NCCL_SOCKET_IFNAME=$IFACE_NAME",
        "vllm/vllm-openai:v0.28.0",
        "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
        "--served-model-name",
        "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B",
        "--trust-remote-code",
        "--kv-cache-dtype",
        "fp8",
        "--max-num-seqs",
        "16",
        "--max-model-len",
        "262144",
        "--gpu-memory-utilization",
        "0.90",
        "--max-num-batched-tokens",
        "32768",
        "--enable-flashinfer-autotune",
        "--async-scheduling",
        "--mamba-backend",
        "triton",
        "--mamba-ssm-cache-dtype",
        "float32",
        "--tensor-parallel-size",
        "16",
        "--nnodes",
        "2",
        "--node-rank",
        "1",
        "--master-addr",
        "$HEAD_IP",
        "--headless",
        "--enable-auto-tool-choice",
        "--tool-call-parser",
        "qwen3_coder",
        "--reasoning-parser",
        "nemotron_v3",
        "--speculative-config",
        "{\"method\":\"mtp\",\"num_speculative_tokens\":5}"
      ]
    ],
    "strategy_spec": {
      "name": "multi_node_tp",
      "deploy_type": "multi_node",
      "display_name": "Multi-Node Tensor Parallel",
      "short_label": "Multi-node TP",
      "orientation": "latency",
      "description": "Multi-node TP. Splits the model across GPUs spanning multiple nodes. TP is set to total GPU count across all nodes. Head node serves requests, worker nodes run with --headless. Requires InfiniBand interconnect.\n",
      "hardware_match": {
        "min_gpus": 2,
        "multi_node": true
      },
      "parallel_flag": "--tensor-parallel-size",
      "env": {
        "GLOO_SOCKET_IFNAME": "$IFACE_NAME",
        "NCCL_SOCKET_IFNAME": "$IFACE_NAME"
      }
    },
    "hardware_profile": {
      "brand": "NVIDIA",
      "generation": "hopper",
      "compute_arch": "sm90",
      "display_name": "H200",
      "description": "NVIDIA H200 SXM 141 GB HBM3e · 8-GPU HGX node",
      "gpu_count": 8,
      "vram_gb": 1128,
      "multi_node": false
    },
    "alternatives": {
      "single_node_tp": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/strategies/single_node_tp.json",
      "kv_store_centralized_mooncake": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/strategies/kv_store_centralized_mooncake.json",
      "kv_store_distributed_mooncake": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/strategies/kv_store_distributed_mooncake.json"
    },
    "by_hardware": {
      "h200": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/h200.json",
      "h100": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/h100.json",
      "b200": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/b200.json",
      "gb200": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/gb200.json",
      "b300": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/b300.json",
      "gb300": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/gb300.json",
      "mi300x": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/mi300x.json",
      "mi325x": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/mi325x.json",
      "mi350x": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/mi350x.json",
      "mi355x": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16/hw/mi355x.json"
    }
  },
  "model": {
    "model_id": "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16",
    "min_vllm_version": "0.22.0",
    "docker_image": "vllm/vllm-openai:v0.28.0",
    "architecture": "moe",
    "parameter_count": "550B",
    "active_parameters": "55B",
    "context_length": 262144,
    "base_args": [
      "--served-model-name",
      "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B",
      "--trust-remote-code",
      "--kv-cache-dtype",
      "fp8",
      "--max-num-seqs",
      "16",
      "--max-model-len",
      "262144",
      "--gpu-memory-utilization",
      "0.90",
      "--max-num-batched-tokens",
      "32768",
      "--enable-flashinfer-autotune",
      "--async-scheduling",
      "--mamba-backend",
      "triton",
      "--mamba-ssm-cache-dtype",
      "float32"
    ],
    "base_env": {
      "VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS": "1"
    },
    "install": {
      "pip": {
        "command": "uv venv\nsource .venv/bin/activate\nuv pip install -U vllm --torch-backend auto"
      },
      "docker": {
        "command": "docker pull vllm/vllm-openai:v0.28.0"
      }
    }
  },
  "features": {
    "tool_calling": {
      "description": "Qwen3 Coder tool-call parser with automatic tool choice",
      "args": [
        "--enable-auto-tool-choice",
        "--tool-call-parser",
        "qwen3_coder"
      ]
    },
    "reasoning": {
      "description": "Nemotron v3 reasoning parser",
      "args": [
        "--reasoning-parser",
        "nemotron_v3"
      ]
    },
    "spec_decoding": {
      "description": "Multi-Token Prediction with 5 speculative tokens",
      "args": [
        "--speculative-config",
        "{\"method\":\"mtp\",\"num_speculative_tokens\":5}"
      ]
    },
    "long_context": {
      "description": "Raise the context window from the default 256K to the model's full 1M tokens. Needs a large KV-cache budget — lower --max-model-len if you are memory-constrained.",
      "args": [
        "--max-model-len",
        "1048576"
      ],
      "env": {
        "VLLM_ALLOW_LONG_MAX_MODEL_LEN": "1"
      }
    }
  },
  "opt_in_features": [
    "long_context"
  ],
  "variants": {
    "default": {
      "precision": "bf16",
      "vram_minimum_gb": 1320,
      "description": "BF16 weights"
    },
    "fp4": {
      "model_id": "nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4",
      "precision": "nvfp4",
      "vram_minimum_gb": 330,
      "description": "NVFP4 weights",
      "json": "/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4.json"
    }
  },
  "kv_offload_support": {
    "offloading_cpu": "verified",
    "offloading_fs": "verified"
  },
  "hardware_overrides": {},
  "guide": "## Overview\n\nNVIDIA Nemotron 3 Ultra is a 550B total / 55B active hybrid Transformer-Mamba MoE\nmodel built for long-running agentic reasoning, coding, research, and tool use.\n\n## Launch command\n\n```bash\nexport VLLM_MEMORY_PROFILER_ESTIMATE_CUDAGRAPHS=1\n\nvllm serve nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4 \\\n  --served-model-name nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B \\\n  --trust-remote-code \\\n  --tensor-parallel-size 8 \\\n  --kv-cache-dtype fp8 \\\n  --max-num-seqs 16 \\\n  --max-model-len 262144 \\\n  --gpu-memory-utilization 0.90 \\\n  --max-num-batched-tokens 32768 \\\n  --enable-flashinfer-autotune \\\n  --async-scheduling \\\n  --speculative-config '{\"method\":\"mtp\",\"num_speculative_tokens\":5}' \\\n  --mamba-backend triton \\\n  --mamba-ssm-cache-dtype float32 \\\n  --reasoning-parser nemotron_v3 \\\n  --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder\n```\n\n## References\n\n- [BF16 model](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16)\n- [NVFP4 model](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4)\n",
  "source": {
    "source": "vllm",
    "repo": "vllm-project/vllm",
    "ref": "main",
    "sha": "564ac0de1b228568cafcbfbe8ccaccc82d6023eb",
    "path": "recipes/models/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16.yaml",
    "edit_url": "https://github.com/vllm-project/vllm/edit/main/recipes/models/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16.yaml",
    "overlays": []
  }
}