Prime Intellect is a compute and infrastructure platform for training, evaluating, and deploying agentic AI models. It provides hosted reinforcement learning (RL) training with managed infrastructure, integrated environments, and support for LoRA adapters. The platform includes an Environments Hub with hundreds of open-source RL environments for agentic model training, along with modular verifiers, a framework for asynchronous RL at scale (Prime-RL), and secure sandboxes for code execution. On the compute side, Prime Intellect offers on-demand access to 1-256 GPUs across multiple providers, with SLURM and Kubernetes orchestration, InfiniBand networking, and Grafana monitoring dashboards. For larger needs, liquid reserved clusters of 8-5000+ GPUs can be requested from 50+ datacenters, with the option to sell back idle GPUs to a spot market. The platform also supports dedicated or serverless inference with custom LoRA adapters. Prime Intellect contributes to open-source AI research, releasing models like Intellect-3 (a 100B+ parameter MoE) and Intellect-2 (trained via globally distributed RL), and tools like Verifiers and Prime-RL on GitHub.
Key Benefits
- Hosted RL training at scale with managed infrastructure
- Access to hundreds of open-source RL environments
- Multi-node compute up to 256 GPUs on demand
- Open-source tools for verifiers, RL frameworks, and sandboxes