| name | prime-intellect |
| description | Prime Intellect GPU cloud API reference. Use when working with Prime Intellect pods, GPUs, clusters, disks, SSH keys, inference, or any PI compute resources. |
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 - Check GPU, cluster, and disk availability and pricing
- Pods - Create, manage, and monitor GPU instances
- Disks - Network-attached storage management
- SSH Keys - Manage SSH keys for pod access
- Inference - Models and chat completions API
- Sandboxes - Lightweight container environments
- Images - Custom image management
- Evals - Evaluation management
- User - 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
