Verda Documentation¶
Use this hub to find the right guide by task or product area. If you are new to Verda, start with the task you want to complete first.
Start With A Task¶
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Launch compute
Create a CPU or GPU instance, choose storage, add SSH access, and deploy.
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Deploy a GPU cluster
Provision an Instant Cluster for distributed training with Slurm or Kubernetes.
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Run a container endpoint
Deploy containerized inference workloads with scaling, health checks, and logs.
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Call an inference API
Authenticate and use hosted language, image, and audio models.
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Add persistent storage
Choose between block volumes, shared filesystems, and container image storage.
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Automate infrastructure
Manage Verda resources with Terraform, OpenTofu, the Verda CLI, or integrations.
Browse By Product¶
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Instances
Dedicated CPU and GPU instances for development, training, and hosted workloads.
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Clusters
Multi-node GPU clusters with Slurm or Kubernetes for larger training jobs.
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Storage
Persistent volumes, shared filesystems, deletion behavior, and private registries.
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Serverless Containers
Container deployments, autoscaling, request handling, storage, and batch jobs.
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Inference API
Hosted model APIs for text, image, and audio workloads.
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Reference
API reference, SDK links, service overviews, responsibility model, and credits.
Account And Support¶
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Pricing and billing
Understand billing, balance management, payment methods, and invoices.
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Team projects
Create projects, manage roles, transfer compute, and work with shared balances.
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Locations
Compare Verda locations and sustainability details.
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Support
Contact the Verda team by chat or email when you need help.