Decentralized AI platform for fine-tuning, RAG, and federated learning 🤖🌐
⚙️ Runtime Intelligence Architecture for Pattern-Oriented Compute, Continuity, and Adaptive Execution Systems. M-OS — Pattern Graph Runtime for Hybrid Compute (CPU / OpenCL / AI backends)
An open, community-driven runtime that unifies multiple GPUs into a single logical accelerator by reducing software inefficiency.
Agentic Robots fleet landing - Physical AI, distributed compute, VLMs on real robots. Clean site at agentic-robots.ai (DNS flip in progress)
Run Metaflow steps on distributed Bacalhau compute without rewriting your workflow
LiberGrid: token for every one. Distributed AI compute network with OpenAI-compatible API and community nodes.
Zibra Labs is a Y Combinator (Spring 2026) startup building distributed compute infrastructure for AI workloads at scale. The platform gives teams access to the cheapest CPUs and GPUs across hyperscalers and neoclouds, orchestrating clusters of 100 to 50,000 mixed hardware nodes with sub-50ms task-dispatch overhead and millions of parallel tasks…
Lightweight, memory-safe distributed compute fabric for edge and cloud — Rust control plane + agent, signed artifacts, DAG pipelines, P2P data transfer
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