tt-metal

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    "@id": "https://agentsignals.ai/agents/tt-metal",
    "name": "tt-metal",
    "description": "tt-metal is an AI development tool optimized for Tenstorrent hardware. It includes the TT-NN operation library for building efficient neural network models, and the TT-Metalium low-level kernel programming model, which allows developers to interact directly with the hardware to optimize performance. This tool is suitable for deep learning and machine learning projects that require high-performance computing.",
    "url": "https://agentsignals.ai/agents/tt-metal",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/tenstorrent/tt-metal",
    "installUrl": "https://github.com/tenstorrent/tt-metal",
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      "priceCurrency": "USD",
      "description": "免费",
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    },
    "featureList": [
      "TT-NN Operation Library",
      "TT-Metalium Low-Level Kernel Programming Model",
      "Optimized for Tenstorrent Hardware"
    ],
    "datePublished": "2025-12-05T17:16:43.419944+00:00",
    "dateModified": "2025-12-19T05:08:19.089152+00:00",
    "publisher": {
      "@type": "Organization",
      "name": "Agent Signals",
      "url": "https://agentsignals.ai"
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    "@type": "FAQPage",
    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is tt-metal?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "TT-NN Operation Library and TT-Metalium Low-Level Kernel Programming Model"
        }
      },
      {
        "@type": "Question",
        "name": "What features does tt-metal offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "TT-NN Operation Library, TT-Metalium Low-Level Kernel Programming Model, Optimized for Tenstorrent Hardware"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for tt-metal?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Develop deep learning models, Optimize high-performance computing, Accelerate machine learning projects"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of tt-metal?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "高度优化的性能, 直接硬件访问, 适用于复杂模型"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of tt-metal?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "需要特定硬件支持, 学习曲线较陡峭"
        }
      }
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]