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.
Studio — Physical-AI Synthetic Data
Generate domain-randomized training data on real RTX GPUs, each frame cryptographically verified with Proof-of-Render. The robotics/physical-AI workload no one else runs on a GPU marketplace.
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 production workloads.
RenderMesh · verifiable compute
A GPU network you can actually verify
Every job runs on real, benchmarked hardware — each frame cryptographically signed with Proof-of-Render so you get provable proof of where your workload ran. Enterprise SLA, data-residency guarantees, and a human to call. Not anonymous, unverified DePIN.
Inferix Coder · Early access
An agentic coding workspace that runs on your own models
A pipeline of specialised agents researches, plans, writes, validates and repairs your code against a real compile, test and lint loop. It runs on your machine against your model server — a local Ollama, or an Inferix endpoint per role. No third-party AI provider in the path.
orchestrator · 7 tasks queued — backend first
coder · wrote api/routes/reports.ts
auditor · build ok · lint ok · 2 tests failing
debugger · root cause: missing await in loader
auditor · all green — handing back
Popular Models
Most liked and downloaded on Inferix
Popular Datasets
Most liked and downloaded on Inferix
Featured Spaces
Live app previews from the community
Most Upvoted Papers
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Join builders publishing models, launching Spaces, deploying endpoints, and monetizing compute without fragmenting their workflow.