Results for “devices”
10 skillsjetson-llm-serve
Serve LLMs and VLMs on NVIDIA Jetson devices using vLLM or SGLang with optimized Docker containers and quantization presets.
2.2k · bundle
jetson-headless-mode
Plan and apply safe, reversible headless-mode changes on Jetson devices to reclaim memory from the GUI and non-essential daemons.
2.2k · bundle
expo-dev-client
Build and install Expo development clients on physical devices and simulators using EAS Build for testing native code changes.
2.2k · bundle
More results
adaptive
Adapt Android app UIs to phones, tablets, foldables, desktops, and other devices using Compose, including window size handling, multi-pane layouts, and adaptive navigation.
6.1k · bundle
huggingface-best
Queries Hugging Face benchmark leaderboards to find the best AI models for a task, filters by device constraints, and returns a ranked comparison table with scores.
10.8k
media-use
Resolves, generates, and operates on media assets (audio, images, icons, logos, voice, color grades, LUTs) for HyperFrames projects, using a local cache and the HeyGen CLI for free-usage catalog search and TTS.
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jetson-print-device-info
Captures a baseline snapshot of a Jetson device's module model, L4T version, kernel, OS version, and power mode for performance testing or verification.
2.2k · bundle
jetson-customize-clocks
Lock, cap, or customize CPU, GPU, and EMC clock behavior on NVIDIA Jetson devices by editing BPMP DTB and nvpower.sh before flashing.
2.2k · bundle
jetson-optimize-memory
Reclaim DRAM on NVIDIA Jetson devices by disabling unused display, camera, and DMA subsystems across MB1 BCT, MB2 BCT, kernel reserved-memory, and SWIOTLB layers for headless or no-camera deployments.
2.2k · bundle
jetson-inference-mem-tune
Recommends an inference runtime and memory-related launch flags for LLM/VLM workloads on NVIDIA Jetson devices, based on a live memory audit snapshot.
2.2k · bundle