PeerLLM v0.7.6: The Fastest, Smartest, and Most Purposeful Version Yet (blog.peerllm.com)

PeerLLM v0.7.6 ships a major host rewrite and a suite of performance, usability, and governance upgrades aimed at turning PeerLLM into a fast, reliable decentralized AI compute network. The Host was rebuilt with native bindings (e.g., llama-cpp and local runners), cutting startup latency and memory overhead and enabling cleaner background processes, multi-model support, and cross‑platform consistency on Windows, macOS and Linux. GPU optimizations (threading, token streaming, utilization) have produced dramatic throughput gains on high‑end machines—reported token generation dropping from ~190 ms to ~9 ms—while telemetry/heartbeat redesign and smarter caching cut overheads by up to ~40%. The release also adds desktop-style menus, richer logs, a detailed Test Host diagnostic, and privacy-preserving telemetry that masks sensitive data. Beyond raw speed, v0.7.6 advances the network stack and developer story: API v2.0 introduces secure API key flows, granular access controls, and safety filters; the Orchestrator now enforces governance policies around safety, privacy and responsible compute routing; and dynamic Host profiles let the system learn CPU/GPU/latency fingerprints to route jobs more effectively. The Host is future‑ready for multi‑model hosting (Mistral 7B, Mixtral, Phi‑3), offline/private hosting, payments and dedicated hardware—making this release significant for builders who need performant, auditable, and ethically governed decentralized inference infrastructure.