Model Training/Serving

Access compute resources that match the complexity of your models, on an infrastructure that empowers you to run inference at scale.

Right-Size Your Workloads

No two models are the same, and neither are their compute requirements. With the industry’s broadest selection of GPUs, CoreWeave allows you to optimize your workloads.

Bare-Metal via Kubernetes

Remove hypervisors from your stack by deploying containerized workloads. CoreWeave empowers you to realize the benefits of bare-metal without the burden of managing infrastructure.

Machine Learning DNA

Machine Learning is in our DNA, and our infrastructure reflects it. Whether you’re training or deploying models, we built CoreWeave Cloud to reduce your set-up and improve performance.

Inference Service

CoreWeave delivers the industry’s leading inference solution, complete with 5-second spin-up times and responsive auto-scaling to help you serve models as efficiently as possible. In addition to maximizing performance, we build infrastructure to optimize spend, so you can scale confidently without breaking your budget.

  • Proprietary auto-scaling technology, designed to spin up & down in real time.
  • We manage the infrastructure, so you can focus on what you do best.
  • Blazing fast spin-up times (as little as 5 seconds).
  • Billing structure that encourages scale, saving you up to 80% vs. other cloud providers.

Model Training

With over 45,000 GPUs, the industry’s broadest selection and best economics, CoreWeave is built to encourage scale, not inhibit it. Combining a cloud tailor made for ML workloads with best-in-class partners allows you to scale your models without the burden of managing infrastructure.

    Direct Kubernetes Access

    We built CoreWeave Cloud with engineers in mind. Designed to help you realize the benefits of bare-metal without the headache of managing infrastructure, over 45,000 GPUs are accessible by deploying containerized workloads via Kubernetes.

    • Full documentation available to get up & running quickly.
    • Consider our engineers as an extension of your team, providing DevOps experience to help you optimize your workloads.
    • Borrow from our team’s expertise as you benchmark your workloads and find the right GPU resources to train & serve your models.

    Ready to get started?

    Our support engineers are here to help!