PRIME Intellect
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Latest Updates fromPrime Intellect.

$130M Series A to Build the Open Superintelligence Stack
AnnouncementsJUL 08TH, 2026
$130M Series A to Build the Open Superintelligence Stack
Releasing Hosted Evaluations: Making benchmarking effortless
AnnouncementsMAY 28TH, 2026
Releasing Hosted Evaluations: Making benchmarking effortless
Releasing Lab: the training platform for self-improving agents
AnnouncementsMAY 07TH, 2026
Releasing Lab: the training platform for self-improving agents
Introducing Lab: The Full-Stack Platform for Training your Own Models
AnnouncementsFEB 10TH, 2026
Introducing Lab: The Full-Stack Platform for Training your Own Models
INTELLECT-3: A 100B+ MoE trained with large-scale RL
AnnouncementsNOV 26TH, 2025
INTELLECT-3: A 100B+ MoE trained with large-scale RL
Scaling Our Open-Source Environments Program
AnnouncementsOCT 27TH, 2025
Scaling Our Open-Source Environments Program
Environments Hub: A Community Hub To Scale RL To Open AGI
AnnouncementsAUG 27TH, 2025
Environments Hub: A Community Hub To Scale RL To Open AGI
SYNTHETIC-2 Release:  Four Million Collaboratively Generated Reasoning Traces
AnnouncementsJUL 10TH, 2025
SYNTHETIC-2 Release: Four Million Collaboratively Generated Reasoning Traces
SYNTHETIC-2
AnnouncementsJUN 23RD, 2025
SYNTHETIC-2
PCCL - Prime Collective Communications Library
AnnouncementsMAY 20TH, 2025
PCCL - Prime Collective Communications Library
INTELLECT-2 Release: The First 32B Parameter Model Trained Through Globally Distributed Reinforcement Learning
AnnouncementsMAY 11TH, 2025
INTELLECT-2 Release: The First 32B Parameter Model Trained Through Globally Distributed Reinforcement Learning
Planetary-Scale Inference: Building a Distributed Inference Engine for the Public Internet
AnnouncementsAPR 28TH, 2025
Planetary-Scale Inference: Building a Distributed Inference Engine for the Public Internet
INTELLECT-2: The First Globally Distributed Reinforcement Learning Training of a 32B Parameter Model
AnnouncementsAPR 15TH, 2025
INTELLECT-2: The First Globally Distributed Reinforcement Learning Training of a 32B Parameter Model
$15M to Build The Open Superintelligence Stack
AnnouncementsFEB 28TH, 2025
$15M to Build The Open Superintelligence Stack
SYNTHETIC-1 Release: Two Million Collaboratively Generated Reasoning Traces from Deepseek-R1
AnnouncementsFEB 20TH, 2025
SYNTHETIC-1 Release: Two Million Collaboratively Generated Reasoning Traces from Deepseek-R1
SYNTHETIC-1: Scaling Distributed Synthetic Data Generation for Verified Reasoning
AnnouncementsFEB 06TH, 2025
SYNTHETIC-1: Scaling Distributed Synthetic Data Generation for Verified Reasoning
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
AnnouncementsJAN 28TH, 2025
TOPLOC: A Locality Sensitive Hashing Scheme for Trustless Verifiable Inference
Distributed Training in the Inference-Time-Compute Paradigm
AnnouncementsJAN 21ST, 2025
Distributed Training in the Inference-Time-Compute Paradigm
METAGENE-1: Metagenomic Foundation Model
AnnouncementsJAN 06TH, 2025
METAGENE-1: Metagenomic Foundation Model
INTELLECT-1 Release The First Globally Trained 10B Parameter Model
AnnouncementsNOV 29TH, 2024
INTELLECT-1 Release The First Globally Trained 10B Parameter Model
INTELLECT–1: Launching the First Globally-Distributed Training of a 10B Parameter Model
AnnouncementsOCT 11TH, 2024
INTELLECT–1: Launching the First Globally-Distributed Training of a 10B Parameter Model
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
AnnouncementsJUL 11TH, 2024
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
Introducing Prime Intellect Compute: The compute exchange
AnnouncementsJUL 01ST, 2024
Introducing Prime Intellect Compute: The compute exchange
State-of-the-Art in Globally-Distributed Training
AnnouncementsAPR 23RD, 2024
State-of-the-Art in Globally-Distributed Training