Build, ship, and scale
machine learning products
Host models, manage datasets, launch Spaces, deploy inference endpoints, and rent or monetize compute — all in one connected workflow.
GPU infrastructure
GPU verification and compute orchestration
Hardware verification, KubeRay job dispatch, and proof-of-rendering — all built into the platform so you never wire it yourself.
Enterprise-grade GPU
verification
Validate capacity, readiness, and routing signals before workloads run across training, rendering, and inference pipelines.
Platform
Everything you need for modern ML delivery
One platform, zero glue code. From repository to revenue without fragmenting your workflow.
Model Hub
Publish, version, discover, and run open models with built-in inference widgets and Git-style collaboration.
Dataset Hub
Preview, organize, and connect datasets directly to training and evaluation workflows at scale.
Spaces
Launch demos, internal tools, and AI apps with shareable URLs and attached compute in minutes.
GPU Marketplace
Rent capacity on demand or list your own hardware for usage-based earnings on a global network.
Inference API
Serve OpenAI-compatible endpoints for apps, agents, and production workloads with auto-scaling.
Cloud Storage
Store artifacts, datasets, and build assets in managed buckets with fine-grained access controls.
Workflow
A connected path from repository to revenue
Inferix links model repos, datasets, compute, and deployment endpoints into one build surface — so your stack grows together.
Publish a repository
Ship model files, metadata, revisions, and docs in one place. Every push is versioned and shareable.
Attach data and compute
Connect datasets, Spaces, and GPU runtimes so your execution stays linked to your artifacts.
Deploy and monetize
Turn repositories into endpoints, hosted apps, and usage-based revenue paths in one click.
Why builders switch
Less glue code. More shipping.
Inferix keeps repositories, demos, endpoints, and compute in one system so teams spend less time wiring infrastructure.
Hardware verification layer
Verify GPU availability, readiness, and execution metadata before workloads are scheduled.
Federated AI Training
Coordinate secure model training across multiple nodes without centralizing sensitive raw data.
Proof of Rendering
Track visual compute performance with reproducible outputs and benchmark-ready reporting.
Visual Computing Workflows
Run training + rendering + inference from one platform for AI-native media and simulation.
Ecosystem & partnerships
Backed by world-class infrastructure partners
Trending Models
Most popular models this week
Trending Datasets
Hot datasets from the community
Featured Spaces
Live app previews from the community
Trending Papers
Momentum signals
Start now
Ready to build on open infrastructure?
Join builders publishing models, launching Spaces, deploying endpoints, and monetizing compute without fragmenting their workflow.