Deploy AI models without the infrastructure headache
Launch models, manage deployments, or scale your own AI catalog — all in one place. Now with Private Cloud, your fully hosted organization-wide catalog.
Try Private Cloud Free for 1 Month →Trusted by 50,000+ developers and enterprises:
From Code to Scalable AI - In Just Three Steps
Step 1
Upload
Upload your code directly or integrate with your code repositories.
Support any framework
Secure file-handling through encrypted data transfer and storage
Error Feedback and Diagnostics for Instant feedback on errors during upload
Step 2
Build
Escape from package and version hell! The build box is like having a team of 10 ML engineers at your disposal.
Automatic Containerization
Built-in GPU/CUDA compatibility
Mime-type translation
Input-output validation and field mapping
Code validation with test or random data
Step 3
Deploy
Instantly provision an instance in just two clicks. Select your CPU/GPU size, run inference through the REST API or an automatically created UI layer.
Scale to millions of users with automatic cluster provisioning.
Job Scheduler that automatically spins up pods and nodes as needed
Idle-time zero-scaling to minimize overhead
Dedicated On-demand Job API servers
Standardized API endpoints, documented with Swagger
Air-Gapped Deployment. Your Infrastructure. Platform-Agnostic.
Integrate gravityAI into your existing stack - faster than you can say "Kubernetes."
Any infrastructure
Any ML tool
Any data source
Enterprise-grade Security & Governance
Keep your critical data protected with enterprise-grade security, advanced access controls, and private deployment options.
Best-in-class governance
Designed with the EU AI Act at its core, GravityAI simplifies documentation, auditing, and model risk governance.
Virtual Private Cloud (VPC)
Deploy within an isolated private cloud to maintain rigorous governance and compliance standards.
On-Premises
Ensure complete data sovereignty with air-gapped deployments securely housed behind your firewall.