Build and run AI models without cold starts
SynapsAI Cloud is a managed GPU platform for deploying Hugging Face models with ultra-low load times, predictable billing, and OpenAI-compatible APIs — without operating Kubernetes, VMs, or inference servers yourself. We are in public beta and actively improving the platform. Share feedback via feedback and feature requests.Quickstart
Deploy a model and run your first API call in minutes.
API reference
Authentication, endpoints, and OpenAI compatibility.
Why SynapsAI Cloud?
Sub-second model loading
Prepped artifacts and local NVMe storage deliver load times measured in seconds, not minutes.
Secure multi-tenant infrastructure
Models run on shared GPU infrastructure with sandboxing, filesystem isolation, and reserved compute resources.
Transparent pricing
Memory-based compute pricing, usage dashboards, and cost controls built for teams.
How it works
Connect your model
Point SynapsAI at a Hugging Face repository with Safetensors weights and a valid
pipeline_tag.Choose readiness and scale
Pick Always ready, Super fast, or Cold start. Configure autoscaling and worker timeout.
Documentation
Core concepts
Readiness levels, pricing, credits, and model lifecycle.
Deploy a model
Requirements, precision, quantization, and scaling.
Inference quickstart
SDK setup, authentication, and your first request.
Migrate from OpenAI
Switch existing OpenAI integrations with minimal changes.
Examples
Code samples for every supported pipeline task.
Supported tasks
Pipeline names, endpoints, and streaming support.
Isolation
Sandboxing, filesystem boundaries, and compute isolation on shared GPUs.
Manage models
Configuration, analytics, logs, and lifecycle states.
Integrations
LangChain, LlamaIndex, FAISS, Gradio, and FastAPI.
Need help? Check Troubleshooting, the status page, or contact support.