See how teams optimise performance and cut costs with Xinference
"Xinference aligned with our vision: to iterate faster, scale smarter, and operate more efficiently across all our AI workloads."
"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."
"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."
From banking to healthcare, Xinference powers mission-critical AI across every sector
Deploy low-latency inference models to detect fraudulent transactions in real-time while maintaining strict data residency requirements.
Automate clinical note summarization, ICD coding, and patient record analysis with HIPAA-compliant private model deployments.
Process sensitive government documents with air-gapped, sovereign AI deployments that never leave your infrastructure.
Scale AI-powered product recommendations and intelligent customer support chatbots across millions of users with consistent low latency.
Run computer vision and anomaly detection models at the edge for real-time quality control and predictive maintenance on factory floors.
Fine-tune and serve domain-specific models for scientific research, literature review, and academic applications on shared GPU clusters.
Step-by-step guides, video walkthroughs, and hands-on workshops to get you up and running
Deploy your first LLM in under 10 minutes. From installation to first inference call with full API compatibility.
Learn how to fine-tune open-source models with your domain-specific data and serve them at scale using Xinference.
Complete walkthrough for deploying Xinference in a fully air-gapped environment for regulated industries and enterprise setups.
Set up multi-GPU inference with automatic load balancing and resource allocation for high-throughput production workloads.
Integrate Xinference into existing applications using the drop-in OpenAI-compatible API — no code changes required.
Build sophisticated AI pipelines that dynamically route requests across multiple specialized models for optimal performance and cost.