Prime Intellect

The Open
Superintelligence Lab

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.

GET Compute

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.

GET COMPUTE

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 Research on

distributed training, rL and synthetic data Gen

SYNTHETIC-2

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

CONTRIBUTE COMPUTE

INTELLECT-2

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

Chat With Intellect-2

INTELLECT-1

The world's first decentralized training of a 10B parameter model, enabling anyone to participate.

EXPLORE

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

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

SYNTHETIC-2 Release: Four Million Collaboratively Generated Reasoning Traces

We are releasing SYNTHETIC-2, an open dataset of four million verified reasoning traces spanning the most comprehensive set of complex reinforcement learning tasks and verifiers released to date. The dataset was collaboratively generated by compute contributors across the globe via our pipeline-parallel decentralized inference. Over 1,250 GPUs joined in 3 days — from 4090s to H200s — creating data for complex RL tasks.

July 10, 2025

SYNTHETIC-2: Planetary-Scale Pipeline Parallel Inference for Verified Reasoning

Today, we’re excited to launch SYNTHETIC-2, our next-generation, open-source reasoning dataset and planetary-scale, pipeline-parallel decentralized inference run.Built on our peer-to-peer inference stack and powered by the new DeepSeek-R1-0528 model, SYNTHETIC-2 generates verified reasoning traces spanning the most comprehensive set of complex reinforcement-learning tasks and verifiers released to date.

June 23, 2025

CAREERS

Join Prime Intellect

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