Inferencing made better.
Run any model
with total control

Universal compatibility Run any model, any GPU, anywhere
Enterprise security Scale with confidence using SOC2 compliant VPC deployments and RBAC
Maximum performance Deploy faster and at a fraction of the cost with our inference optimization engine
Get started Contact us
9k GitHub Stars
6M+ Downloads
300+ Enterprise Users
$100M Savings

Australian owned, trusted globally

Xinference Platform Demo

Universal, enterprise
grade inference

Effortlessly deploy any or your own models with one command. Whether you are a researcher, developer, or data scientist, Xinference empowers you to unleash the full potential of AI today.

Get Started ↗ Learn more

One-click deployment.
Complete control from day one.

bash
$ pip install xinference[all]

Simple setup

  • Simple one-command installation or Docker deployment
  • Works on your existing infrastructure—cloud, on-premise, or hybrid
OpenAI Gemini Gemini Claude Claude NVIDIA NVIDIA AMD AMD Intel Intel Meta Meta HuggingFace HuggingFace Mistral AWS Azure DeepSeek

Maximum flexibility

  • Mix & match models to optimise workload, cost, or performance
  • 300+ models available — Model Hub ↗
  • Supporting 20+ heterogeneous GPUs
  • Deploy on cloud, on-premise, or hybrid
🏛️SOC 2
🇪🇺EU GDPR
⚕️HIPAA

Enterprise grade security

  • Fine-grained data policies for your organisation
  • SOC 2, GDPR & HIPAA compliant
  • Prompts only reach models you trust

Trusted by teams building at scale

See how teams optimise performance and cut costs with Xinference

40%
reduction in AI infrastructure costs
DataCore →
5×
faster model inference for production workloads
NeuralSoft →
👤

"Xinference aligned with our vision: to iterate faster, scale smarter, and operate more efficiently across all our AI workloads."

Sarah Chen
Head of AI Platform
CloudScale →
👤

"We chose Xinference not just for what we needed today, but for where we know we're heading. As our AI workloads grow more complex, Xinference gives us the infrastructure to scale without limits."

James Park
Engineering Lead, AI Infrastructure
QuantumAI →
99%
uptime SLA across enterprise deployments
Infratech →
10×
faster model deployment vs. previous solution
Synapse Labs →
3×
increase in model throughput after migration
VectorEdge →
$2M+
annual GPU cost savings across 12 deployments
Orbis AI →
👤

"Switching to Xinference cut our time-to-deploy from days to minutes. The team finally has the breathing room to focus on model quality instead of infrastructure."

Priya Nair
VP of Machine Learning
DeepLayer →

Customers using Xinference →

Inferencing made better.
Run any model with total control.

One-click deployment  |  Complete control from day one

Get Started Contact Us