Explore
MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. Do NOT use for UPHY lane allocation or ODMDATA edits.
in the skill textfrom the user when the sensor is custom. 4. **Kernel-DT overlay** — cpp-expand the in-tree DTSI, extract its `fragment@N` body, append into the
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices.
in the skill textuse these first) 1. **Prebuilt containers (GHCR)** — NVIDIA-AI-IOT packages : `llama_cpp`, `ollama`, `live-vlm-webui`, older-Orin `vllm`, and related images built for Jetson
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Visualize, query, and stream to train on multimodal robotics data.
SkillApache-2.0★ 12kNo key
Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.
in the skill textdir: `install-cu - /`. ## Step 4: Run Tests Run the following tests * EXAMPLE_CPP_HELLO_WORLD_TEST * EXAMPLE_PYTHON_HELLO_WORLD_TEST * EXAMPLE_CPP_TENSOR_INTEROP_TEST
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.
in the skill textand explicitly mention the GGUF / 4-bit tradeoff when it selects `llama-cpp`. - For SGLang prompts, run with `--runtime sglang` and quote `--mem-fraction-static`, `--max
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Who stands behind it
Who stands behind it