Olla v0.1.0
The latest stable build of our open-source LLM proxy and load balancer.





We build software for running LLMs on hardware you control, and help organisations plan, validate and tune the AI infrastructure they own.
New to running models in-house? Read our guide to deploying LLMs on your own infrastructure.
Fresh releases, announcements and writing from the workshop.
The latest stable build of our open-source LLM proxy and load balancer.
Olla v0.1.0 adds a Text Embeddings Inference backend, a reworked dashboard, retry controls and corrected request stats. Several behaviour changes affect existing setups, so check them before you upgrade.
MCP 2026-07-28 drops sessions, the initialize handshake and server-initiated requests. What changed, how to port a server across, and what we get now.
TensorFoundry covers the full LLM stack. Pick the layers you need.
From open-source tools to enterprise platforms
From ML pipelines to self-hosted LLM software: the work behind our products and our advice.
Run models where your data already lives, on hardware you control.
Prompts, documents and outputs stay on your network. Nothing is sent to a third-party model provider unless you choose to.
No round trip to a cloud region. Olla, our open-source proxy, adds about 0.30 ms at the median in our published benchmarks.
Steady workloads on hardware you own avoid per-token billing. Our cost comparison shows where self-hosting breaks even.
Works with the inference engines you already run, such as vLLM, SGLang, llama.cpp and Ollama, on NVIDIA, AMD and Apple Silicon.
Open-source AI inference proxy perfect for small businesses and development teams. Unified interface for Ollama, LM Studio, vLLM and others with load balancing and failover.

Join the waitlist for priority access to Alloy, FoundryOS, Kaizen, Pivotal and Forge as they launch from late 2026 into 2027.
Get exclusive updates, beta access and founding member pricing.
Independent advice backed by reproducible evidence.