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Prime Intellect

Prime Intellect is an open-source platform that provides an integrated compute, training, inference, and sandbox stack for building and deploying reinforcement learnin…

PaidPrice verified 2026-10-06Visit site ↗
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Our verdict

Who it's for

Build, train, and deploy RL agents with an integrated stack

Who should look elsewhere

Requires familiarity with RL concepts and CLI tools, steep learning curve for beginners.

Pros

  • +Open-source core with a strong community and ecosystem of environments.
  • +End-to-end pipeline from environment creation to deployed inference in one CLI.
  • +Hands-on support from an applied research team for managed training.

Cons

  • −Requires familiarity with RL concepts and CLI tools, steep learning curve for beginners.
  • −Managed services and dedicated inference likely involve paid tiers, not fully free.

Key features

  • ✓RL environment creation via CLI with init, develop, eval, and push workflow.
  • ✓Hosted evaluations with 100+ open-source models and a public leaderboard.
  • ✓Managed training optimized for agentic workflows with full visibility and control.
  • ✓Dedicated or serverless inference with native LoRA adapter support.
  • ✓Secure sandboxes for code execution during large-scale RL training.
  • ✓Open-source Verifiers library for building modular RL environments.
  • ✓Prime-RL framework for asynchronous reinforcement learning at scale.
  • ✓Environment Hub with 2,500+ community environments and researcher collaboration.

Pricing

PlanPriceBillingNotes
Single-Node H200$1.99month80 GB VRAM; 184 GB RAM; 32 vCP
Single-Node H200$1.8month80 GB VRAM; 184 GB RAM; 32 vCP
Single-Node H200$1.23month80 GB VRAM; 184 GB RAM; 32 vCP
Single-Node H200$0.47month80 GB VRAM; 184 GB RAM; 32 vCP
Single-Node B300$4.99month288 GB VRAM; 480 GB RAM; 48 vCP
Single-Node B200$3.49month192 GB VRAM; 384 GB RAM; 32 vCP
Single-Node H200$3.14month141 GB VRAM; 182 GB RAM; 44 vCPUs
Single-Node H100$2.43month80 GB VRAM; 185 GB RAM; 32 vCPUs
Single-Node H100 Spot$0.94month80 GB VRAM; 185 GB RAM; 32 vCPUs
Single-Node GH200$3.14month96 GB VRAM; 480 GB RAM; 72 vCP
Single-Node RTX Pro 6000$3.14month96 GB VRAM
Single-Node A100$3.14month80 GB VRAM
Single-Node A40$3.14month48 GB VRAM
B300 SXM6 3-YEAR RESERVED$5monthTOTAL $2,560/hr; Reserved cost (3yrs) $67,276,800; Idle hrs resold 6,727,680 hrs

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