# Prime Intellect

> Prime Intellect GPU cloud API reference. Use when working with Prime Intellect pods, GPUs, clusters, disks, SSH keys, inference, or any PI compute resources. Use when this capability is needed.

- Skill: `tomevault-io/prime-intellect` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/prime-intellect`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/prime-intellect/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/prime-intellect

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# Prime Intellect API Reference

**Base URL:** `https://api.primeintellect.ai`
**Inference API:** `https://api.pinference.ai/api/v1`

All requests require `Authorization: Bearer <api_key>` header.
For team accounts, include `X-Prime-Team-ID: <team_id>` header.

## API Groups

- **[Availability](availability.md)** - Check GPU, cluster, and disk availability and pricing
- **[Pods](pods.md)** - Create, manage, and monitor GPU instances
- **[Disks](disks.md)** - Network-attached storage management
- **[SSH Keys](ssh-keys.md)** - Manage SSH keys for pod access
- **[Inference](inference.md)** - Models and chat completions API
- **[Sandboxes](sandboxes.md)** - Lightweight container environments
- **[Images](images.md)** - Custom image management
- **[Evals](evals.md)** - Evaluation management
- **[User](user.md)** - User info and teams

## Quick Reference

### Available GPU Types

`CPU_NODE, A10_24GB, A100_80GB, A100_40GB, A30_24GB, A40_48GB, B200_180GB, B300_262GB, RTX3090_24GB, RTX4090_24GB, RTX5090_32GB, H100_80GB, H200_96GB, GH200_96GB, L4_24GB, L40_48GB, L40S_48GB, A4000_16GB, A5000_24GB, A6000_48GB, V100_16GB, V100_32GB, T4_16GB`

### Available Regions

`africa, asia_south, asia_northeast, australia, canada, eu_east, eu_north, eu_west, middle_east, south_america, united_states`

### Available Images

`ubuntu_22_cuda_12, cuda_12_1_pytorch_2_2, cuda_11_8_pytorch_2_1, cuda_12_1_pytorch_2_3, cuda_12_1_pytorch_2_4, cuda_12_4_pytorch_2_4, cuda_12_4_pytorch_2_5, cuda_12_4_pytorch_2_6, cuda_12_6_pytorch_2_7, stable_diffusion, axolotl, bittensor, vllm_llama_8b, vllm_llama_70b, vllm_llama_405b, custom_template, flux, prime_rl`

### Provider Types

`runpod, fluidstack, lambdalabs, hyperstack, oblivus, cudocompute, scaleway, tensordock, datacrunch, latitude, crusoecloud, massedcompute, akash, primeintellect, primecompute, nebius, vultr, denvr`

### Socket Types

`PCIe, SXM2, SXM3, SXM4, SXM5, SXM6`

### Security Types

`secure_cloud, community_cloud`

---
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<!-- tomevault:4.0:skill_md:2026-04-13 -->