Runpod provides on-demand GPUs and serverless compute for AI model training, fine-tuning, inference, and batch workloads.
Prime Intellect
Prime Intellect provides compute, training, inference, and sandbox tools for training and deploying machine learning models.
About Prime Intellect
Prime Intellect is a web-based platform for training, deploying and continuously improving machine learning models on an integrated compute, training, inference and sandbox stack. It covers reinforcement learning environments, hosted evaluations, hosted training and inference. Users can create and share RL environments through the Prime CLI, which is built on the open-source Verifiers library, and run evaluations on open-source models without managing infrastructure. Training targets large-scale models optimized for agentic workflows, with managed workflows and support from an applied research team. Inference is offered through a single OpenAI-compatible API that serves Prime Hosted Models, starting with GLM-5.3, as well as third-party models via the Prime Inference Gateway. A Python package is available via pip install prime, and dedicated inference capacity can be arranged. Pricing is not stated on the homepage.
Key features
- Prime CLI loop to init, develop, eval and push RL environments
- Hosted evaluations across more than 100 open-source models with a public leaderboard
- Hosted training on 2,500+ RL environments for agentic workflows
- OpenAI-compatible inference API for Prime Hosted Models and third-party models
- Secure sandboxes for code execution at large-scale reinforcement learning
- Environment Hub for accessing and contributing open-source RL environments
Best for: Machine learning teams and researchers who want to train, evaluate and deploy their own models, particularly for agentic workflows, without building the underlying infrastructure.
Good for
- Combines compute, training, inference, evaluation and sandboxing in one integrated stack
- Uses an OpenAI-compatible API for model access
- Environment tooling is built on the open-source Verifiers library, with community environments on the Hub
Watch out for
- Pricing is not stated on the homepage
- Dedicated inference capacity requires contacting the company rather than self-service
- Third-party models through the Prime Inference Gateway are served by external providers
Prime Intellect at a glance
- Website
- primeintellect.ai
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Prime Intellect FAQ
Can I use a single API for different models?
Yes. Prime Hosted Models and models from third-party providers through the Prime Inference Gateway are both accessible through one OpenAI-compatible API.
What is needed to create an RL environment?
The Prime CLI supports a loop to init, develop, eval and push environments, and the tooling is built on the open-source Verifiers library.
Is dedicated inference capacity available?
Yes, dedicated serving capacity for latency, reliability and custom model requirements can be arranged by contacting Prime Intellect.
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