Run any of 300+ open AI models on infrastructure you control, at up to 70% lower cost.*
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Trusted in production.
Runs in your environment. Your data never leaves.
Lower cost than closed-source APIs.
Faster responses, more models per GPU, no cold starts.
*Savings estimate reflects self-hosted or on-premises deployment of open models compared with closed-source API list pricing. Actual savings vary by workload and utilisation.
One integration. It keeps working as models, hardware and traffic change.
One OpenAI-compatible API. No migration.
Routes every request to the right model and GPU, automatically.
300+ open models, plus your own fine‑tuned models, on any hardware.
base_url = "http://your-xinference:9997/v1"
Run any of 300+ open models, from day one.
One standard bundle to get started, or a custom deployment in your own environment.
One plan with a dedicated private LLM, hosted in Australia, ready to go.
Tailored deployments for teams that need Xinference inside their own perimeter.
No trade-off on quality, just hardware working harder.
KV-cache reuse, continuous batching, speculative decoding keep GPUs busy.
Same quality bar, a fraction of the price.
Each request goes to the cheapest model that clears the quality bar.
Banks, insurers and platforms run Xinference wherever their data lives.
360,000 requests per day on 72 pooled GPUs.
500K+ daily requests, replacing a self-managed vLLM and Kubernetes stack.
KFC, Pizza Hut and Taco Bell run 1.52M requests and 3B+ tokens a day across dual data centers.
Xinference gives us one platform to run every model on infrastructure we fully control.
We consolidated model serving onto Xinference and stopped babysitting the stack ourselves.
Xagent turns your models into working agents, grounded in your data and governed by your rules.
Pilot it next to what you run today. Expand once the numbers hold up.
Sovereign by default, lower cost by design, faster in production.