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VESSL AI
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The beginning of the file, from our validated copy saved 2026-10-25T18:59:21.756Z. Cached copy · Source on vessl.ai
# VESSL AI
## Explore docs
### Get started
- [Introduction](https://docs.cloud.vessl.ai/guides/get-started/introduction.md): What VESSL Cloud is, why it matters, and how it works at a glance.
#### Start quickly
- [Member](https://docs.cloud.vessl.ai/guides/get-started/quickstart-user.md): Create your first GPU instance, connect with JupyterLab or SSH, and control costs.
- [Admin](https://docs.cloud.vessl.ai/guides/get-started/quickstart-admin.md): Set up org-wide Storage and invite teammates after initial signup.
### Examples
- [Fine-tune Gemma 4](https://docs.cloud.vessl.ai/examples/fine-tuning-gemma-4.md): A complete walkthrough for fine-tuning Gemma 4 E4B with QLoRA and Unsloth on a single A100 GPU.
- [Run autoresearch in parallel](https://docs.cloud.vessl.ai/examples/autoresearch.md): Use VESSL Cloud batch jobs to run karpathy/autoresearch with K experiments in parallel against one shared cache volume.
- [Train a point-in-time finance LLM](https://docs.cloud.vessl.ai/examples/point-in-time-finance-llm.md): Continue pretraining Qwen3.5-35B on a date-clipped corpus with VESSL Cloud batch jobs, then measure how much look-ahead leakage inflates a financial prediction score.
### vesslctl CLI
- [Understand vesslctl](https://docs.cloud.vessl.ai/cli/overview.md): Install and configure the VESSL Cloud command-line tool.
- [CLI Quickstart](https://docs.cloud.vessl.ai/cli/quickstart.md): Three common workflows to get productive with vesslctl in minutes.
- [CLI Cheat Sheet](https://docs.cloud.vessl.ai/cli/cheatsheet.md): Every vesslctl command at a glance with quick copy-paste examples.
- [Use with AI tools](https://docs.cloud.vessl.ai/cli/ai-tools.md): Connect vesslctl to Claude Code, Cursor, and other AI-powered development tools.
#### Command Reference
- [vesslctl workspace](https://docs.cloud.vessl.ai/cli/commands/workspace.md): Create, manage, and connect to interactive development workspaces.
- [vesslctl ssh-key](https://docs.cloud.vessl.ai/cli/commands/ssh-key.md): List, add, and delete SSH public keys from the CLI.
- [vesslctl job](https://docs.cloud.vessl.ai/cli/commands/job.md): Submit, monitor, and manage batch training and inference jobs.
- [vesslctl volume](https://docs.cloud.vessl.ai/cli/commands/volume.md): Manage data volumes for persistent storage across workspaces and jobs.
- [vesslctl storage](https://docs.cloud.vessl.ai/cli/commands/storage.md): View and manage storage backends that host volumes.
- [vesslctl org & team](https://docs.cloud.vessl.ai/cli/commands/org-team.md): Manage organizations and teams for access control and resource scoping.
- [vesslctl cluster & resource-spec](https://docs.cloud.vessl.ai/cli/commands/cluster.md): Discover available clusters, GPU types, and resource configurations.
- [vesslctl tag](https://docs.cloud.vessl.ai/cli/commands/tag.md): Create and manage tags to organize and filter jobs.
- [vesslctl skill](https://docs.cloud.vessl.ai/cli/commands/skill.md): Install vesslctl skills for AI codin
…
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