l9gpu - open-source GPU observability with workload-level attribution [P]

<!-- SC_OFF --><div class="md"><p>Hey I'm 0xcircuitbreaker (CircuitBreaker88), and I'm building a small fine-tuning service around local/open models. I'm looking for 5 pilot

<!-- SC_OFF --><div class="md"><p>We've been maintaining an open-source catalog of GPU offerings across cloud providers (skypilot-catalog). It auto-fetches pricing from 20+ cloud

<!-- SC_OFF --><div class="md"><p>Sophisticates open-sourced memopt today. It is a GPU memory fabric for AI infrastructure with eight product pillars (multi-tier paging,

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t5p2yv/the_gb10_solution_atlas_is_now_open_source_the/"> <img alt="The GB10 Solution Atlas is now open

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s2e0d5/built_an_opensource_llm_router_for_consumer_gpus/"> <img alt="Built an open-source LLM router for

<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC

<!-- SC_OFF --><div class="md"><p>At our work we use CUDA in Rust since the company switched to it recently. Rust has pretty good Driver API bindings but it made me wonder why the

<!-- SC_OFF --><div class="md"><p>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot