Snapshot
Continue to About ↓- What it does
- Prime Intellect is a platform for training and deploying custom AI models, combining fine-tuning and reinforcement-learning post-training, an OpenAI-compatible inference API that also serves your own checkpoints, GPU compute and microVM sandboxes.
More detail
- Its stated model is a loop: collect traces from real usage, turn failures into reward-scored environments, retrain, and redeploy.
- Best for
- Teams that want a custom specialist model or agent rather than a general chatbot, and that are prepared to bring their own tasks, rewards and evaluation data.
More detail
- Also fits agent builders who need evaluation and RL environments alongside GPU capacity with managed orchestration.
- Pricing
- Usage-based with no stated subscription or management fee, and no single consolidated public price sheet
More detail
- the Terms say the pricing displayed at the time of use governs.
- Published figures: on-demand GPUs at H100 $3.50/hr, H200 $5.48/hr and B300 $6.64/hr (example: 64 H200s about $350.72/hr), billed h
- Main limitation
- Buyers who need contractual uptime guarantees, since the vendor states it offers no formal SLA and refunds or credits on provider outages are discretionary.
More detail
- Poor fit for fault-intolerant workloads on spot capacity, and for consumer use: the service is business-oriented and requires users to be 18 or older.
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- Structured profile ↗
About
- Prime Intellect is a platform for training and deploying custom AI models, combining fine-tuning and reinforcement-learning post-training, an OpenAI-compatible inference API that also serves your own checkpoints, GPU compute and microVM sandboxes.
- Its stated model is a loop: collect traces from real usage, turn failures into reward-scored environments, retrain, and redeploy.
What it helps with
- General-purpose frontier models underperform on narrow, repetitive specialist tasks such as retrieval subagents, motivat
- Teams lack an easy way to turn real production failures into scored training environments and then retrain on them.
- Agent builders need large numbers of isolated, scalable execution environments for evaluation and reinforcement learning
- Training and inference are often bought from separate vendors, fragmenting the path from checkpoint to production endpoi
- GPU capacity is hard to procure and orchestrate without cluster plumbing, scheduling and interconnect setup.
- Organizations need data-perimeter control, audit logs and the option not to have their data used for training.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Hosted training (SFT and reinforcement learning) | Yes | Fine-tune with SFT, then reinforce with RL against rewards you define, on open models of any size, using the open-source Prime-RL trainer. |
| OpenAI-compatible inference API | Yes | Serverless access to open models such as GLM, DeepSeek, Kimi and Moondream, plus Prime Hosted and Prime Gateway routing. |
| Deploy your own fine-tuned checkpoints | Yes | Trained models get their own endpoints on the same API as the base models. |
| Evaluation and observability | Yes | Hosted evaluations, annotated traces, and W&B and Grafana integrations. |
| RL environment library and hub | Yes | Open-source Verifiers library plus 2,500+ community environments on the Hub. |
| MicroVM sandboxes | Yes | Hardware-isolated sandboxes with Docker images, SSH, volumes, checkpoints, forking and pause/resume; default limit of 1,024 active sandboxes per account. |
| GPU sandboxes | Limited | Listed as coming soon and requiring an explicit grant, so not generally available. |
| On-demand and dedicated GPU compute | Yes | Hourly instances with no contract, or dedicated clusters with Slurm and Kubernetes, InfiniBand, self-healing nodes and 24/7 support. |
| Formal uptime SLA | No | The vendor states it does not provide formal SLAs because infrastructure relies on various providers. |
| VPC deployment and data-perimeter controls | Yes | Choose serverless or VPC; RBAC, audit logs on every dispatch, and an option to opt out of training on your data. |
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Evidence
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- Last reviewed
- Primary source
- primeintellect.ai
Technical profile details
Record ID
49d26217-c8b8-4307-9f75-5eecc0c4e758Canonical URLhttps://profiles.scribble.network/listing/prime-intellect-49d26217