The GPU-cloud-native AI platform
Host models and datasets, launch Spaces, deploy inference endpoints, and rent or monetize real GPUs — all in one connected workflow, from repository to revenue.
Our mission
Make world-class ML infrastructure effortless
Shipping machine learning shouldn't mean stitching together a dozen tools. Inferix brings the model hub, dataset studio, Spaces, a real GPU marketplace, and OpenAI-compatible inference into a single, connected platform.
Everything runs on real, verified NVIDIA GPUs — so the same place you host a model is the place you fine-tune it, serve it, and rent the compute behind it. No glue code, no lock-in.
The platform
Everything in one workflow
Model Hub
Git-backed model repos with rich cards, safetensors & GGUF inspection, model trees, and one-click deploy.
Dataset Hub
A full Data Studio: browse rows with per-column stats, run SQL in your browser, and chat with a data agent.
Spaces
Ship interactive ML demos and apps backed by real compute, sharable with a single link.
GPU Marketplace
Rent real NVIDIA GPUs by the hour — SSH + JupyterLab, persistent volumes, and a live spot bid market.
Inference Endpoints
OpenAI-compatible endpoints on real GPUs, with autoscaling and scale-to-zero so you only pay for traffic.
AutoTrain
Fine-tune and train models on managed GPUs without wiring the infrastructure yourself.
What we believe
Principles
Open by default
Open science and open weights. Public repos, standard formats, and portable artifacts — no lock-in.
Production-grade
Real GPU verification, malware & secret scanning, and enterprise controls built into the platform.
Developer-first
Git-backed everything, an OpenAI-compatible API, and SDKs that fit the tools you already use.
Community-led
Papers, posts, collections, and follows — a place for builders to share and discover work.
Build, ship, and scale on Inferix
Join builders hosting models, running datasets, and deploying inference on real GPUs.