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Products

Compute and storage building blocks for running GPU and CPU workloads on Verda — from single instances to multi-node clusters, serverless containers, and hosted inference APIs.

Compute

Verda offers several ways to run compute workloads, from dedicated instances to fully managed serverless containers.

  • Instances

    Dedicated CPU and GPU instances for development, training, and hosted workloads.

    Open

  • Clusters

    Multi-node GPU clusters with Slurm or Kubernetes for distributed training and HPC.

    Open

  • Serverless Containers

    Deploy containerized inference workloads with autoscaling, health checks, and batch jobs.

    Open

  • Inference API

    Hosted language, image, and audio model APIs — no infrastructure to manage.

    Open

Storage

Persistent and shared storage options for data used by instances, clusters, and containers.

  • Block Volumes

    Persistent disk volumes for instance and cluster storage.

    Open

  • Shared Filesystem

    A shared filesystem that multiple instances or cluster nodes can access simultaneously.

    Open

  • Container Registry

    A private registry for storing and deploying container images.

    Open