Edge Computing
11 items across the graph — tagged with Edge Computing.
From the graph · 11
WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless app…
Python Computer Vision & Video Analytics Framework With Batteries Included
A curated list of resources for embedded AI
Record a chess game live and upload the PGN to Lichess
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM,…
Explore LLM model deployment based on AXera's AI chips, It provides OpenAI‑compatible APIs and supports AX620E, AX650 and AX637 series chips.
An agent small enough to run anywhere. A minimal agentic runtime in C — ~380 lines, 54KB binary, ~2MB RAM. A skill file + an LLM + a shell loop, no framework.
The 30 MB open-source edge AI agent runtime. Run AI agents offline on Linux (Raspberry Pi, Jetson). GPIO, UART, MQTT as first-class nodes. Industrial protocols…
ZKE（Z Kubernetes Engine）：macOS 风格的 Kubernetes 多集群控制台，基于 Server + Agent 与 QUIC/mTLS，适用于私有云、混合云及边缘环境。
Parameter-Efficient Fine-Tuning For Edge-Cloud Collabrative Computing
北京交通大学计算机科学与技术学院系统与网络实验室