Who it is built for
- Teams experimenting with common AI frameworks
- Developers deploying GPU-backed AI applications
- Organizations keeping proprietary AI data in private infrastructure
Build, deploy, and manage AI application environments
Release.ai is an AI experimentation, development, and deployment platform built on Release. Teams can launch template-based environments for RAG, fine-tuning, training, prompt engineering, image generation, inference, and AI agents, using GPU resources in Release's cloud or private infrastructure.
The decision
Start with the job, the team, and the constraints. Product fit becomes much clearer when those three line up.
Inside the product
The core product capabilities, grouped around the work they enable.
Release.ai provides preconfigured templates for RAG, fine-tuning, training, prompt engineering, image generation, inference, and AI agents.
The Release.ai GPU Cloud provides on-demand GPU capacity for workloads that use public data and experimentation.
Teams can deploy the AI stack, GPUs, data, and control plane inside their own cloud account or data center.
Create a GPU-enabled cluster and select an AI template for the required workload. Connect Release to source control and configure the application environment. Release.ai provisions and manages the resulting AI environment for development and deployment.
Plans and official links
See the entry price, free access options, company details, and direct vendor destinations in one place.
Choosing for a real workflow?
We map the workflow, connect existing systems, choose what to buy, and build what is missing.