[
  {
    "id": "nvidia-b200-docs-1",
    "tier": "claimed-docs",
    "url": "https://www.nvidia.com/en-us/data-center/dgx-b200/",
    "excerpt": "NVIDIA DGX B200 delivers 3X the training performance and 15X the inference performance of previous-generation systems",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-2",
    "tier": "claimed-docs",
    "url": "https://www.nvidia.com/en-us/data-center/dgx-b200/",
    "excerpt": "enterprises can arm their developers with a single platform built to accelerate their workflows",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-3",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "Provides active health monitoring and system alerts for NVIDIA DGX nodes in a data center. It also provides simple commands for checking the health of the DGX B200 system from the command line.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-4",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "This software enables node-wide administration of GPUs and can be used for cluster and data-center level management.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-5",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "The system includes six power supply units (PSU) configured for 5+1 redundancy.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-6",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "The maximum power per GPU is reported by the `nvidia-smi` tool.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-7",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "Press to have the blue LED turn On or blink (configurable through the BMC) as an identifier during servicing.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-8",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "The default mode for BlueField-3 DPUs in DGX systems is NIC mode. To change a BlueField-3 DPU to DPU mode or return it to NIC mode",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-9",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "Docker Engine\n    \nNVIDIA Container Toolkit",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-10",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "Supports Redfish, IPMI, SNMP, KVM, and Web user interface",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-11",
    "tier": "claimed-docs",
    "url": "https://www.nvidia.com/en-us/data-center/dgx-b200/",
    "excerpt": "NVIDIA Mission Control streamlines AI factory operations, from workloads to infrastructure, with world-class expertise delivered as software.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-12",
    "tier": "claimed-docs",
    "url": "https://www.nvidia.com/en-us/data-center/dgx-b200/",
    "excerpt": "NVIDIA DGX SuperPOD is a turnkey AI data center infrastructure solution that delivers uncompromising performance for every user and workload.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-13",
    "tier": "claimed-docs",
    "url": "https://www.nvidia.com/en-us/data-center/dgx-b200/",
    "excerpt": "Learn how to achieve cutting-edge breakthroughs with AI faster with this special technical training offered expressly to NVIDIA DGX customers",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-docs-14",
    "tier": "claimed-docs",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html",
    "excerpt": "Contact NVIDIA Enterprise Support for assistance in reporting, troubleshooting, or diagnosing problems with your DGX B200 system. You can also contact NVIDIA Enterprise Support for help in moving the DGX B200 system.",
    "fetchedAt": "2026-09-15T17:26:43.422Z"
  },
  {
    "id": "nvidia-b200-comm-1",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/45330812",
    "excerpt": "B200 is indeed much better than H200",
    "fetchedAt": "2026-09-15T17:36:12.607Z"
  },
  {
    "id": "nvidia-b200-comm-2",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/45330812",
    "excerpt": "I have already tried it, which can be used on demand at any time, is indeed very convenient for small and medium-sized enterprises.",
    "fetchedAt": "2026-09-15T17:36:12.607Z"
  },
  {
    "id": "nvidia-b200-comm-3",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/46312792",
    "excerpt": "For me, the hardest part was virtualizing GPUs with NVLink in the mix. It complicates isolation while trying to preserve performance. (author of blog on virtualizing Nvidia HGX B200 GPUs)",
    "fetchedAt": "2026-09-15T17:36:12.607Z"
  },
  {
    "id": "nvidia-b200-comm-4",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/46312792",
    "excerpt": "Once you oversubscribe GPU memory, performance usually collapses. Frameworks like vLLM can explicitly offload things like the KV cache to CPU memory, but that's an application-level tradeoff, not transparent GPU virtual memory.",
    "fetchedAt": "2026-09-15T17:36:12.607Z"
  },
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    "id": "nvidia-b200-comm-5",
    "tier": "community",
    "url": "https://hn.algolia.com/api/v1/items/46312792",
    "excerpt": "Did you ever manage to get vGPU's working in any other hardware configuration? I know it's not what Hx00 customers want. I bloodied my forehead on that for a month or two with Cloud Hypervisor --- I got to the 'light reverse engineering of drivers' stage before walking away.",
    "fetchedAt": "2026-09-15T17:36:12.607Z"
  },
  {
    "id": "nvidia-b200-probe-1",
    "tier": "probe",
    "url": "https://docs.nvidia.com/llms.txt",
    "excerpt": "PROBE llms.txt: HTTP 200 at https://docs.nvidia.com/llms.txt # NVIDIA Technical Product Documentation\n\n> Collection of NVIDIA Technical Documentation llms.txt files for AI user agen",
    "fetchedAt": "2026-09-15T17:37:08.797Z"
  },
  {
    "id": "nvidia-b200-probe-2",
    "tier": "probe",
    "url": "https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html.md",
    "excerpt": "PROBE docs-md: HTTP 200 at https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html.md Title: Introduction to NVIDIA DGX B200 Systems#\n\nURL Source: https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction",
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  },
  {
    "id": "nvidia-b200-probe-3",
    "tier": "probe",
    "url": "https://docs.nvidia.com/openapi.json",
    "excerpt": "PROBE openapi: all candidate paths 404 (https://docs.nvidia.com/openapi.json, https://docs.nvidia.com/swagger.json, https://docs.nvidia.com/api/openapi.json, https://docs.nvidia.com/.well-known/openapi.json)",
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]