Prime Intellect

Founded by Vincent Weisser in 2023

Train, deploy, and improve custom AI models on shared compute infrastructure

Cost

Paid

Rating

★ People love it

Time to value

Moderate Setup (1-3 hours)

You can use Prime Intellect to train your own AI models using reinforcement learning, deploy them for inference, and continuously improve them through production traces. It provides access to GPU compute (H100, H200, B200, B300), hosted RL training environments, model evaluations, and inference serving with LoRA support. The stack includes tools for creating custom RL environments, running benchmarks against 100+ open-source models, and deploying fine-tuned models with one click. It targets AI labs and companies that want to own their models rather than rely on frontier providers.

What Prime Intellect does

Rent GPU compute by the hour for training or inference workloadsCreate and publish RL environments using the Prime CLIRun model evaluations and view results on a public leaderboardDeploy fine-tuned models with LoRA adapters via a single commandCapture production inference traces and convert them into training dataRequest large-scale GPU cluster quotes from 50+ datacenter providersMonitor training runs with Grafana dashboards in real timeTrain models using pre-built RL environments from the community hubAccess to 2,500+ open-source RL environments for training agents1-click deployment of fine-tuned models with LoRA adapter supportHosted model evaluations benchmarked against 100+ open-source modelsGPU marketplace with on-demand access from 1 to 256 GPUs across multiple providersProduction trace capture that feeds back into the next training runAsynchronous large-scale RL training framework (prime-rl) built for distributed workloadsSecure sandboxed code execution environments for RL trainingPublic leaderboard for comparing model performance across evals