GPU Service
GPU compute across three delivery models: instances, bare-metal servers, and dedicated clusters.
GPU Service is not yet generally available. Reach out to sales to discuss your workload and request priority access.
Dedicated GPU resources with full control
Deploy your own models and lightweight apps
Flexible GPU environments for specialized model deployments and lightweight services.
Elastic compute scaling
Elastic scheduling for bursty, task-driven GPU workloads.
Diverse runtime environments
Hybrid environments for running agent, RAG, and multimodal inference workloads side by side.
Rapid prototyping
On-demand capacity for short-cycle experiments, with elastic billing.
One platform, three ways to deploy
GPU Instance
On-demand single- or multi-GPU instance containers — provisioned in minutes, billed by the hour.
Bare-Metal
Dedicated GPU servers with full hardware control and resource isolation.
Cluster
A multi-node networked compute pool sized for large-scale inference.
Tell us what you want to run.
Share your workload and requirements, and our team will follow up with a deployment plan.