Rust Concurrency Patterns for AI Agents
Production patterns for building fast, concurrent AI agents in Rust.
Rust systems programming
View All TagsProduction patterns for building fast, concurrent AI agents in Rust.
Building production ML inference services that run anywhere—from Raspberry Pi to cloud edge—requires a different approach. This article walks through a complete implementation of a text embedding API using WasmEdge, GGML, and Rust, delivering a 136KB WASM module paired with a 1.8MB async HTTP server that processes embeddings in ~100-200ms per request.
Full implementation: github.com/porameht/wasmedge-ggml-llama-embedding
When scraping websites or testing APIs from multiple IPs, you need a proxy that can rotate source addresses automatically. This article explores how to build a production-ready IP rotation proxy using Cloudflare's Pingora framework, achieving lock-free rotation with atomic operations.
Full implementation: github.com/porameht/pingora-forward-proxy
In ML inference servers, choosing the right concurrency pattern can make the difference between 200 RPS and 20,000 RPS. This article analyzes why Arc<RwLock<Option<T>>> is often the optimal choice for shared model state.