Activity
@environmentalbit3940 started using tool werf , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool VictoriaMetrics , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool SaltStack , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool Python , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool Pulumi , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool Kubernetes , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool Grafana , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool Go , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool GNU/Linux , 6 days, 1 hour ago.
Activity
@environmentalbit3940 started using tool GitLab CI/CD , 6 days, 1 hour ago.
The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.
Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.


