A Datacenter Scale Distributed Inference Serving Framework
AI-Native & Cloud-Native FS: A high-performance file semantic layer for cloud object storage, integrated with high-speed cache. CNCF Sandbox Project.
Efficent platform for inference and serving local LLMs including an OpenAI compatible API server.
Pure Rust + CUDA LLM inference engine β no PyTorch, OpenAI-compatible, serves Qwen3 to Kimi-K2
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.
Run any agent on any model, models stored as OCI images
Build, deploy, and scale a production-grade OCR pipeline using Rust, vLLM, Redis, KEDA, and Kubernetes.
A top for local LLMs: memory, paging, GPU and tokens/s for oMLX, Ollama, llama.cpp, vLLM and more
The lowest-overhead LLM router. Production-ready, highly available, one OpenAI-compatible endpoint in front of 80 providers and your own vLLM/SGLang β 0.76 Β΅s per request, no I/O on the request path, cache-affinity routing, RBAC, budgets and a 13-screen UI in the binary.
Shape-specialized ROCm inference for Qwen3.8 Flash Next on RDNA4