Prime Intellect
Decentralized AI platform for distributed model training and a full RL agent stack.
About
Prime Intellect aggregates global GPU resources into a marketplace for distributed model training, and ships a full stack for building AI agents: compute access, a reinforcement-learning framework (Prime-RL), environment tooling (Verifiers), and evaluation. It trained INTELLECT-1 as the first foundation model trained across geographically distributed compute, followed by INTELLECT-2, a 32B model trained through globally distributed RL, and INTELLECT-3.
In July 2026 the company raised a $130 million Series A at a $1 billion valuation led by Radical Ventures with NVIDIA Ventures, Intel Capital, and Dell Technologies Capital participating, bringing total funding past $150 million. Distributed training remains technically demanding, so results depend heavily on workload suitability and network conditions between nodes.
What it can do
- Peer-to-peer GPU compute marketplace
- Distributed RL training with Prime-RL
- Training environments with Verifiers
- Open-source model releases and research
- Modular full-stack agent development tools
Setup
Sign up at primeintellect.ai, access compute via web, CLI, or API, and use Prime-RL and Verifiers for training.
Prerequisites
Familiarity with distributed training concepts; compute budget for GPU time.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 79; Trending score 86/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.