AI INFERENCE AT EDGE.
Solve real world problems in real time.
Inference as code
Deploy AI anywhere, as simply as writing code.
SocketRun turns
inference infrastructure into clean, composable code.
No YAML sprawl. No manual scaling.
Just declarative, programmable inference that runs seamlessly from cloud to edge.
Code-first inference
Define and deploy your AI workloads in pure code — not config files.
Every model, runtime, and endpoint lives as versioned, testable source.
Write inference pipelines like functions.
Push to deploy.
Roll back or fork with Git-level control.
“If DevOps made infrastructure programmable, SocketRun makes inference programmable.”
Run Anywhere
Your models, your hardware, your choice.
SocketRun detects available compute — GPU, CPU, or edge device — and automatically schedules inference across them.
Multi-node scheduling
Cloud-to-edge workload sync
Intelligent load balancing and failover
Unified Runtime
A lightweight runtime abstracts away environment setup.
Run local, hybrid, or distributed inference with the same codebase:
socketrun deploy my_model.py
socketrun test --edge node-2
Consistent, reproducible, and blazing fast.
Secure by Design
Encrypted model packaging
Role-based access to endpoints
Private registry support