Prime Intellect
Revolutionize AI with scalable, decentralized, cost-effective compute management.. [Contact for Pricing]
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What is Prime Intellect?
Prime Intellect is an integrated infrastructure platform for training, evaluating, and deploying self-improving AI agents. It provides a complete stack combining compute resources, reinforcement learning post-training tools, environments, evaluations, and inference capabilities. The platform democratizes AI development at scale by making it easy to find global compute resources and train state-of-the-art models through distributed training across clusters.
Key features include hosted evaluations with 100+ open-source models and no infra/setup required, hosted training on 2,500+ RL environments with managed workflows, 1-click deployment for fine-tuned models with native LoRA support, and an Environment Hub with 2,500+ open-source RL environments. The platform offers on-demand GPU access from 1-256 GPUs with SLURM/K8s orchestration, Infiniband networking, and Grafana monitoring dashboards. Prime Intellect also provides an OpenAI-compatible Inference API for accessing frontier models.
The platform is designed for AI startups, researchers, labs, and developers who want to train, fine-tune, and deploy their own agentic models. It appeals to teams building self-improving agents, those working on math reasoning, code generation, tool use, and science problems. The platform is backed by Founders Fund, Andrej Karpathy, Dylan Patel, Clem Delangue, and Tri Dao.
Prime Intellect enables users to feed production data back into training to compound model performance over time, creating a continuous improvement loop from deployment to retraining. They have released open-source models including INTELLECT-3 (a 100B+ MoE trained with large-scale RL), INTELLECT-2 (32B model trained through globally distributed RL), and synthetic datasets.
Prime Intellect pricing
Pricing model: Freemium
GPU pricing varies by type: H200 ranges from $0.47-$3.14/HR, B300 at $4.99/HR, B200 at $3.49/HR, H100 at $2.43/HR (Spot $0.94/HR), GH200 at $3.14/HR, RTX Pro 6000 at $3.14/HR, A100 at $3.14/HR, A40 at $3.14/HR. Reserved clusters (3-year) starting at $5.00/HR/GPU for B300 SXM6 x 512. Inference API uses token-based pricing with separate input and output token charges, billed automatically from account balance. No billing setup required for CLI login and basic evaluation testing. Add billing only when ready for hosted workloads or rented compute.
Prime Intellect pros
- 2,500+ open-source RL environments available
- Hosted evaluations with no infra or setup required
- 1-click deployment for any fine-tuned model
- Native LoRA adapter support alongside base models
- On-demand access to 1-256 GPUs instantly
- Access to H200, B300, B200, H100, GH200, A100 GPUs
- SLURM and K8s orchestration for dynamic workloads
- Infiniband networking for distributed training
- Real-time Grafana monitoring dashboards
- OpenAI-compatible Inference API
- Prime CLI for easy workspace setup and evaluations
- Managed training workflows with full visibility
- Hands-on support from applied research team
- Public leaderboard for benchmarking models
- Sell-back idle GPUs to spot market
- Get quotes from 50+ datacenters within 24 hours
- Auto-instruments coding agents out of the box
- Training recipes for math, code, tool use patterns
Prime Intellect cons
- Pricing details for Inference API not fully公开的
- Billing setup required for hosted workloads
- Spot pricing varies significantly by GPU type
- Reserved clusters require 3-year commitments
- Limited to OpenAI-compatible API format
- No free tier for compute resources
- Requires CLI installation for full functionality
- Team billing requires separate ID setup
Frequently asked questions about Prime Intellect
What is Prime Intellect?
Prime Intellect is the open stack for self-improving agents, providing an integrated platform for compute, RL post-training, environments, evals, and inference. It enables startups, researchers, and labs to train, fine-tune, and deploy their own agentic models at scale through distributed training across global compute clusters.
How do I get started with Prime Intellect?
Start by installing the Prime CLI with 'uv tool install -U prime', then sign in with 'prime login' using browser login (no billing required). Run 'prime lab setup' to prepare your workspace, then run a quick evaluation with 'prime eval run' to confirm your setup works. Add billing only when ready for hosted workloads or rented compute.
What GPUs are available on Prime Intellect?
Prime Intellect offers H200 (80GB VRAM), B300 (288GB VRAM), B200 (192GB VRAM), H100 (80GB VRAM), GH200 (96GB VRAM), RTX Pro 6000 (96GB VRAM), A100 (80GB VRAM), and A40 (48GB VRAM). Access ranges from 1-256 GPUs on demand with SLURM/K8s orchestration.
What is the Environment Hub?
The Environment Hub provides access to 2,500+ open-source RL environments for training agents. It includes environments for science problems (opencode-science), QA with search tools (deepdive), rubric discovery, SWE issues (mini-swe-agent-plus), math problems, and game-based training (hud-text-2048). Users can discover, upload, and contribute environments.
How does hosted training work?
Hosted training allows you to train large-scale models optimized for agentic workflows on 2,500+ RL environments. It provides managed training workflows with full visibility and control, plus hands-on support from the applied research team. You can start training directly from the platform with logging and run tracking.
What is the Inference API?
The Inference API provides OpenAI-compatible access to state-of-the-art language models including 100+ open-source models like meta-llama/llama-3.1-70b-instruct. It routes requests to various model providers and is optimized for running large-scale evaluations. Get an API key from account settings with Inference permission enabled.
How do evaluations work on Prime Intellect?
Prime Intellect offers hosted evaluations to benchmark model performance against 100+ open-source models with no infra or setup required. Use 'prime env eval' through the CLI to run evaluations on environments like gsm8k, or run evals from the dashboard. A public leaderboard tracks performance across models.
What is the pricing for GPU compute?
GPU pricing varies: H200 ranges $0.47-$3.14/HR, B300 at $4.99/HR, B200 at $3.49/HR, H100 at $2.43/HR (Spot $0.94/HR), GH200 at $3.14/HR. Reserved clusters start at $5.00/HR/GPU for 3-year commitments. You can resell idle GPUs back to the spot market to recover costs.
What models has Prime Intellect released?
Prime Intellect has released INTELLECT-3 (100B+ MoE trained with large-scale RL, SOTA for size across math/code/science/reasoning), INTELLECT-2 (32B model trained through globally distributed RL), SYNTHETIC-1 (2 million reasoning traces from DeepSeek-R1), and SYNTHETIC-2 (4 million collaboratively generated reasoning traces).
How does the continuous improvement loop work?
Prime Intellect enables feeding production data back into training to compound model performance over time. Evaluate model quality against your benchmarks, then route insights back into fine-tuning. This closes the loop from deployment to retraining, allowing models to continuously improve based on real-world usage data.