Developer Tool / Infrastructure / Deployment
A detailed setup guide for building a two-node AMD Strix Halo cluster with Intel E810 RDMA networking for distributed vLLM inference.
The page clearly documents a practical AI infrastructure workflow: hardware requirements, Fedora host setup, RDMA verification, and launching distributed vLLM with Ray. It has enough concrete steps, commands, and architecture context to be useful for AI builders configuring a similar cluster.
It only covers one narrow hardware/software stack, and the crawl cuts off before the full guide, so readers cannot see the complete troubleshooting and launch instructions. There’s also no quick indication of maintenance status or whether the setup still works beyond the tested versions shown.
Last evaluated 19 days ago. Current rank #388. Down 3 spots in the rankings.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
Mindwalk is a local Go tool that replays Claude Code and Codex sessions on a 3D map of a codebase, showing where an agent searched, read, and edited files over time.
Open-source football management simulation where AI agents manage a club through MCP while humans watch the action in a terminal TUI. The repo includes a daemon, spectator console, calibration CLI, and detailed setup and command docs.
