Prime Intellect

Compute, infra + models
for training frontier AI.

Prime Intellect is building the stack for open superintelligence - from frontier agentic models to the infra that empowers any start-up, researcher or lab to train, fine-tune and deploy superintelligence.

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Proud to be backed by leading builders and investors.

Andrej Karpathy

Eureka, Tesla, OpenAI

PRIME COMPUTE

Scalable. Cheap. Fast. Introducing Prime Compute.

We aggregate compute across datacenters and provide a single unified interface to access compute, from single-node spot-instances to large-scale cluster reservations.

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Find the cheapest and best GPUs.

Compare GPU prices and availability across all clouds based on reliability and speed.

Ready to Use Containers. Deploy any docker image and pre-built ones.

No extra fees. Pay as much as going direct to the clouds.

0.000

Less lock in, save money. Manage your GPUs across many clouds in a single platform.

Each cloud is scored on reliability and speed.

Multi-node GPUs on-demand.
Get 16-256 H100s on demand.

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Environments Hub

train, build & evaluate
on Hundreds of RL environments

Access hundreds of verified environments on our community hub with deep integrations with our sandboxes, and training and evaluation stack.

ENvironments Hub

RESEARCH

Our Frontier Work on

Open-Source AI

INTELLECT-3

A 100B+ parameter MoE model trained on our RL stack, achieving state-of-the-art performance for its size across math, code, science and reasoning benchmarks

CHAT WITH INTELLECT-3

SYNTHETIC-2

A collaborative generation of the largest synthetic dataset of verified reasoning traces for math, coding and science using DeepSeek-R1.

VIEW RELEASE

INTELLECT-2

INTELLECT-2 is the first 32B parameter decentralized RL training run with anyone being able to permissionlessly contribute their compute resources.

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CONTRIBUTIONS

Verifiers

A library of modular components for creating RL environments and training LLM agents.

Prime-RL

A framework for decentralized reinforcement learning (RL) at scale.

PCCL

A framework for fault tolerant collective communications over IP

GITHUB

HUGGING FACE

essays

Thoughts on

Decentralized AI

SEE ALL POSTS

INTELLECT-3: A 100B+ MoE trained with large-scale RL

Today, we release INTELLECT-3, a 100B+ parameter Mixture-of-Experts model trained on our RL stack, achieving state-of-the-art performance for its size across math, code, science and reasoning benchmarks, outperforming many larger frontier models.

November 26, 2025

Scaling Our Open-Source Environments Program

Today, we're scaling up our open-source environments program to become the global hub for open evals and RL environments.As part of this, we're committing hundreds of thousands of $ in grants and looking for partners who want to join our mission to accelerate open superintelligence.

October 27, 2025

Environments Hub: A Community Hub To Scale RL To Open AGI

RL environments are the playgrounds where agents learn. Until now, they’ve been fragmented, closed, and hard to share. We are launching the Environments Hub to change that: an open, community-powered platform that gives environments a true home.Environments define the world, rules and feedback loop of state, action and reward. From games to coding tasks to dialogue, they’re the contexts where AI learns, without them, RL is just an algorithm with nothing to act on.

August 27, 2025

CAREERS

Join Prime Intellect

We are seeking the most ambitious developers to join our team. Please send us examples of your exceptional work.