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OpenClaw Skills & Use Case Index

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Skills tagged: NVIDIA

Browse skills that share this tag.

  • tensorrt-llm - Optimize LLM inference on NVIDIA GPUs using TensorRT-LLM
    Inference ServingTensorRT-LLMNVIDIAInference Optimization

    ★ 0 · Updated 2026-09-09

    Optimizes LLM inference performance on NVIDIA GPUs with quantization, in-flight batching, and multi-GPU scaling.

    ⚙ Generate text responses from prompts⚙ Serve models via HTTP API⚙ Quantize models to lower precision
  • tensorrt-llm - Optimizing LLM Inference with NVIDIA TensorRT
    Inference ServingTensorRT-LLMNVIDIAInference Optimization

    ★ 0 · Updated 2026-09-09

    Optimizes LLM inference on NVIDIA GPUs using quantization, in-flight batching, and multi-GPU scaling.

    ⚙ Run LLM inference⚙ Serve models via HTTP server⚙ Quantize models with FP8
  • llama-cpp - Run GGUF models locally with llama.cpp
    llama.cppGGUFquantizationHugging Face Hub

    ★ 92 · Updated 2026-09-09

    Runs local GGUF inference, selects quantizations, and discovers llama.cpp-compatible models and files on Hugging Face.

    ⚙ Run local GGUF inference⚙ Discover GGUF models on Hugging Face⚙ Select quantizations for hardware
  • llama-cpp - Local GGUF Inference & HF Discovery
    llama.cppGGUFQuantizationHugging Face Hub

    ★ 17 · Updated 2026-05-11

    Local GGUF inference, quant selection, and Hugging Face Hub model discovery for llama.cpp

    ⚙ Run local models⚙ Search Hugging Face Hub⚙ Find GGUF files
  • tensorrt-llm - TensorRT-LLM LLM Inference Optimization
    Inference ServingTensorRT-LLMNVIDIAInference Optimization

    ★ 2 · Updated 2026-03-19

    Optimizes LLM inference with NVIDIA TensorRT for high-throughput, low-latency production deployment on NVIDIA GPUs.

    ⚙ optimize LLM inference⚙ compile models with TensorRT⚙ serve models via HTTP API