Skip to content

InfraPrime Intellect

Prime Intellect

Open compute marketplace and RL training stack for agentic models.

Category
Infra
Pricing
PAID
Source
Open core
Hosting
Cloud
Platforms
WebCLIAPI
Models
Model-agnostic
Verified
Jun 11, 2026

Prime Intellect aggregates GPUs from 50+ providers into an on-demand marketplace (1–256 GPUs with SLURM or Kubernetes orchestration) and pairs it with an open reinforcement-learning stack: the prime-rl async training framework, the Verifiers environment library, and a hub of 2,500+ community RL environments. Its INTELLECT model series demonstrates the stack at frontier scale, with weights and training recipes released openly.

Capabilities 4

What it actually does — grouped by capability family.

  • GPU compute (primary capability)
  • Fine-tuning / training (primary capability)
  • Model inference / serving (secondary capability)
  • LLM evaluation (secondary capability)

Pros & cons

  • Multi-cloud GPU marketplace
  • Open-source RL stack (prime-rl)
  • 2,500+ RL environments hub
  • Open INTELLECT model recipes
  • Younger than major GPU clouds
  • RL stack targets advanced users
  • Spot capacity varies by provider

Tags

Further reading

View all Infra
  • View Runpod details
    InferencePAID

    Runpod

    Runpod

    GPU cloud for AI — on-demand instances and serverless inference.

    Runpod is an AI developer cloud for renting GPUs on demand or running auto-scaling serverless inference endpoints. Serverless workers bill by the millisecond, scale to zero when idle, and advertise sub-200ms cold starts; on-demand Pods and multi-node Clusters cover training and long-running jobs. A Community Cloud tier offers cheaper, peer-sourced GPUs alongside the vendor-operated Secure Cloud.

    Serverless auto-scaling inference
    Community Cloud less reliable/secure
    • gpu-cloud
    • serverless
    • inference
    • deployment
    • +1
  • View Lambda details
    InferencePAID

    Lambda

    Lambda

    GPU cloud for AI training — on-demand GPUs, 1-Click Clusters, and superclusters.

    Lambda is a GPU cloud for AI training and inference, spanning on-demand HGX B200 and H100 instances, self-serve 1-Click Clusters, and single-tenant superclusters built on NVIDIA's latest generations. A GPU specialist since 2012, it sells compute by the hour without long-term hyperscaler contracts and co-engineers large deployments with NVIDIA.

    Single GPUs up to superclusters
    No free tier
    • gpu-cloud
    • training
    • clusters
    • nvidia
    • +1
  • View Modal details
    InferenceFREEMIUM

    Modal

    Modal Labs

    Serverless GPUs. Run training, inference, batch jobs from Python.

    Define cloud workloads in Python, deploy with one command — GPU access on demand, fast cold starts, fair-share pricing. The default 'I need to fine-tune a model from a Jupyter cell' platform.

    Python-decorator infra, no YAML/Dockerfiles
    SDK lock-in; migrating means rewriting
    • gpu
    • serverless
    • python
    • training
  • View Together AI details
    InferenceFREEMIUM

    Together AI

    Together

    Hosted inference and fine-tuning for open-weights models.

    Hosted inference and fine-tuning across hundreds of open-weights models (Llama, Mistral, DeepSeek, Qwen, etc.). Strong pricing for inference-at-scale; LoRA + full fine-tuning supported.

    LoRA and full fine-tuning
    Open models only, no frontier closed models
    • inference
    • fine-tuning
    • open-weights
    • lora