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ML Operations

VESSL AI

GPU cloud for training, fine-tuning and serving AI models

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About VESSL AI

VESSL AI runs VESSL Cloud, a GPU cloud and MLOps platform for training, fine-tuning and serving models. It offers container compute, multi-node GPU clusters and inference APIs. Customers listed include AI companies and universities.

Common use cases

  • Foundation model training
  • Model fine-tuning
  • Production model serving
  • Research GPU access

Products and services

Container Compute

Workspaces and batch jobs with per-second billing

VM Cluster

Multi-node GPU clusters with InfiniBand networking

Provisioned Throughput

Inference APIs compatible with common LLM API formats

Storage

Shared storage with org and team access control

Key features

  • On-demand GPU instances
  • Multi-node GPU clusters
  • Per-second billing
  • Batch job scheduling
  • Managed inference APIs
  • Shared storage
  • Team access control

Integrations

  • Jupyter
  • SSH
  • Kubernetes
  • Slurm

VESSL AI alternatives

FAQs

How is it priced?

Compute is billed per second on demand, with reserved-only capacity for newer GPU generations.

What does it offer?

GPU workspaces, multi-node clusters and OpenAI/Anthropic-compatible inference endpoints.

Who uses it?

AI companies and university research groups.

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