iiRecord
Agentic AI Atlas · vLLM
tool:vllma5c.ai
II.
Tool JSON

tool:vllm

Structured · live

vLLM json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · domain/tools/tools-testing-frontend-aiml.yamlCluster · domain
Record JSON
{
  "id": "tool:vllm",
  "_kind": "Tool",
  "_file": "domain/tools/tools-testing-frontend-aiml.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "vLLM",
    "homepageUrl": "https://github.com/vllm-project/vllm",
    "kind": "other",
    "description": "High-throughput and memory-efficient LLM inference engine implementing the\nPagedAttention algorithm to maximise GPU KV-cache utilisation. Exposes an\nOpenAI-compatible REST API and supports continuous batching, streaming, and\ntensor parallelism across multiple GPUs. A common production serving\nbackend for self-hosted open-source language models.\n"
  },
  "outgoingEdges": [
    {
      "from": "tool:vllm",
      "to": "language:python",
      "kind": "belongs_to_language"
    },
    {
      "from": "tool:vllm",
      "to": "skill-area:model-serving",
      "kind": "tool_used_by",
      "attributes": {}
    },
    {
      "from": "tool:vllm",
      "to": "skill-area:llm-infrastructure",
      "kind": "tool_used_by",
      "attributes": {}
    },
    {
      "from": "tool:vllm",
      "to": "skill-area:model-serving",
      "kind": "used_for"
    },
    {
      "from": "tool:vllm",
      "to": "skill-area:ai-evaluation",
      "kind": "used_for"
    },
    {
      "from": "tool:vllm",
      "to": "tool:tensorrt",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML inference — vLLM is LLM-focused with PagedAttention; TensorRT is GPU model optimization"
      }
    },
    {
      "from": "tool:vllm",
      "to": "tool:triton-inference",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML inference — vLLM is LLM-specific; Triton serves multiple model frameworks"
      }
    },
    {
      "from": "tool:vllm",
      "to": "tool:onnx-runtime",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML inference — vLLM is LLM-specific GPU; ONNX Runtime is cross-platform multi-model"
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "specialization:ml-inference-serving",
      "to": "tool:vllm",
      "kind": "uses_tool"
    },
    {
      "from": "specialization:gpu-programming",
      "to": "tool:vllm",
      "kind": "uses_tool"
    },
    {
      "from": "stack-profile:llm-fine-tuning",
      "to": "tool:vllm",
      "kind": "composed_of"
    },
    {
      "from": "tool:tensorrt",
      "to": "tool:vllm",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML inference — TensorRT is GPU model optimization; vLLM is LLM-focused with PagedAttention"
      }
    },
    {
      "from": "tool:triton-inference",
      "to": "tool:vllm",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML inference — Triton serves multiple model frameworks; vLLM is LLM-specific"
      }
    },
    {
      "from": "tool:onnx-runtime",
      "to": "tool:vllm",
      "kind": "alternative_to",
      "attributes": {
        "comparison": "ML inference — ONNX Runtime is cross-platform multi-model; vLLM is LLM-specific GPU"
      }
    }
  ]
}