Prime Intellect

What is Prime Intellect?

Prime Intellect is an integrated platform it calls the Open Superintelligence Stack for training, deploying and improving AI models, with a focus on agentic workflows. It combines post-training tooling, inference and GPU compute, plus open-source research releases.

Key capabilities of Prime Intellect

• Lab: creates reinforcement learning environments from custom tasks and offers hosted training with research team support
• Environments Hub: 2,500+ community RL environments
• Inference: serves GLM-5.3 on Prime infrastructure plus gateway access to third-party models through an OpenAI-compatible API
• Compute: on-demand GPU instances from 1 to 256 GPUs with SLURM or Kubernetes orchestration
• Spot market: resells idle GPU capacity
• Open research: Verifiers library, Prime-RL framework and INTELLECT-3, a 100B+ mixture-of-experts model

How Prime Intellect works

Teams define a task as an environment, evaluate models on it, run hosted RL training, and then serve the result through the same API surface. Compute can be rented separately by the hour. Customers such as Ramp and Zapier are cited as post-training specialized agents that beat frontier models on narrow tasks.

Who uses Prime Intellect?

AI engineering and research teams that want to post-train their own agents, and developers who need rentable GPUs.

Prime Intellect pricing

Compute is billed hourly. Sample vendor rates include H100 at $2.43 per hour (or $0.94 on spot), H200 from $0.47 to $1.99, B200 at $3.49 and B300 at $4.99. Lab and Inference pricing was not listed.

Prime Intellect alternatives

Arcee AI and Lamini offer model customization services, Unsloth focuses on fast fine-tuning, and PyTorch is the underlying framework. Prime Intellect bundles environments, training, inference and GPUs.