careers39 open roles
get started
get started

Products /

Prime Compute

Run training and inference on dedicated clusters or on-demand GPUs. Managed orchestration and support, with sandboxes for RL and agents.

get started
Get a Demo

AOverview

Your own dedicated cluster, reserved for you and operated by our team.

  1. 01

    Dedicated Clusters
    Dedicated capacity for large-scale training, set up with our team.

    Request a Quote
  2. 02

    Sandboxes
    Run agents, evals and RL rollouts in isolated microVMs.

    Start a Sandbox
  3. 03

    On-demand
    1 to 256 GPUs by the hour, no commitment.

    Launch a GPU

1Dedicated Clusters

Dedicated Clusters. The latest GPUs, on demand or as a dedicated cluster: spin it up over API, no cluster plumbing.

get started
Get a Demo

  • Scale on the latest hardware

    Choose GPU capacity for your training and inference workloads.

  • InfiniBand networking

    High-bandwidth interconnects across nodes for distributed training.

  • SLURM + K8s orchestration

    Dynamic workloads with enterprise-grade scheduling and container automation

  • Self-healing clusters

    Failing nodes are detected, drained, and replaced automatically.

Liquid compute

Redeploy unused capacity as on-demand or spot compute across the Prime network, and reclaim it when you need it.

Need a dedicated cluster?

Talk to our team, any time of day.

Submit Request

Offers ready in 24 hours · Global coverage · No commitment required

2Sandboxes

Sandboxes. Isolated microVM environments made for RL research.

Start a Sandbox
Read the Docs

Full VM Fidelity

Supports Docker Compose, background jobs, and kernel-dependent workloads in every sandbox.

Explore Sandboxes
  1. 2.1One hardware-isolated microVM per sandbox
  2. 2.2Interactive SSH and one-off commands
  3. 2.3Pause and resume with memory and processes intact

Elastic Capacity at Scale

Scale to tens of thousands of concurrent sandboxes.

Start a Sandbox
  1. 2.4Idle timeouts shut down what you don’t use
  2. 2.5Thousands start within seconds
  3. 2.6Labels, fleets and bulk delete from the SDK

First-class RL support

Integrations with Verifiers and prime-rl, and over 365,000 prebuilt tasks.

Find Environments
  1. 2.7Fork a sandbox to branch a rollout
  2. 2.8Lock outbound traffic by domain or CIDR
  3. 2.9Private networks for multi-agent setups

Bring Your Own Environment

Push Docker images without needing a new packaging format.

Read the Docs
  1. 2.10Build in the cloud or pull from public registries
  2. 2.11Up to 16 vCPUs, 64 GiB memory and 128 GiB disk each

Pricing. Tier-free pricing built for scale, with no subscriptions or minimum spend.

get started
Read the Docs

Estimated Cost

$3.35/ hour

$0.0335 / sandbox / hour · 1 vCPU · 1 GiB RAM · 5 GiB disk · 100 sandboxes

Prices are valid through December 22.

3On-demand

On-demand GPUs. Launch in minutes, pay by the hour.

get started
Get a Demo

On-Demand

Not ready to scale yet? Spin up capacity by the hour for experiments, evals, and short runs, with no contract.

Launch a GPU
  1. 3.1Billed by the hour, no contract
  2. 3.2Single GPUs or multi-node clusters
  3. 3.3See availability and price before you deploy

Ramp trained FastAsk with Prime Intellect Lab: a specialist subagent for financial spreadsheet retrieval.

Outcomes

  • 27%faster than Claude Opus 4.6
  • 4%more accurate than Claude Opus 4.6
  • 35Bparameter FastAsk model
Read case study

Zapier built AutomationBench on Prime Intellect Lab to evaluate agents on realistic multi-step automation workflows, catch reward-hacking behavior in live metrics, and turn evals into RL training environments.

Outcomes

  • 9,000+ appsreal-world automation surface area
  • 600 taskstraining to battle test complex agentic workflows
  • 1 commandfrom eval benchmark to RL training run

Prime Intellect and NVIDIA built 2,500 verified enterprise tasks to train Nemotron 3.5 Super VL on long-horizon enterprise workflows.

Outcomes

  • 34.0% -> 57.7%AutomationBench-AA, public split
  • 2,500 tasksverified enterprise workflows
  • ~11 hoursof GRPO training on 128 GB200 GPUs

Talk to our Team

Our engineers size the cluster with you.

Prime Intellect will handle your data pursuant to our Privacy Policy.

Your data. Your model. Your edge. Built for the most security-conscious teams in AI, enterprise and the public sector.

Data never leaves your perimeter
Choose serverless or a VPC deployment based on the control you need.
Full access and audit
Role-based access control, audit logs on every dispatch, lifecycle automation for checkpoints, datasets and artifacts.
You own the intelligence
The model is yours. You decide what trains, what deploys and what memory is retained. Opt out of training any time.

Questions.

What are Dedicated Clusters?

Dedicated Clusters provide reserved, single-tenant GPU infrastructure for demanding workloads such as model training, inference, and large-scale experimentation.

Do Dedicated Clusters support Slurm?

Yes. Clusters come with Slurm configured and shared storage mounted, and Kubernetes alongside for containerized workloads.

What networking is available across cluster nodes?

InfiniBand: high-bandwidth interconnects across nodes for distributed training.

Can Prime help us set up and operate a cluster?

Yes. A dedicated solutions engineer works with you from handover through steady state, with 24/7 support and a Grafana dashboard and alerts for every cluster.

Can I run many Sandboxes at the same time?

Yes. Sandboxes scale to tens of thousands running at once, thousands start within seconds, and idle timeouts shut down what you don’t use.