• INVENTORY
  • PLANNING
  • VALIDATION
  • HUMAN

How to manage shared storage with your AI

Connect Lambda Labs to your AI client once. From there, your agent can scan your GPU cloud to find and map the storage you need for distributed training.

Ask AI about this page

Short answer

How can my AI help me manage shared storage?

Your AI uses the Lambda Labs connector to find and list all available NAS volumes across your compute nodes. This lets you quickly identify the right mount points for multi-node workloads. You get a clear view of your storage layout through the following breakdown.

Storage outcomes

Where your data lands.

What you get when your AI maps your storage environment.

INVENTORY

Mapped filesystems

The AI finds all active NAS volumes. You get a list of the specific paths available for your nodes.

PLANNING

Multi-node mapping

Your agent identifies which volumes can be shared across your GPU cluster. This helps you coordinate data access for distributed jobs.

VALIDATION

Path verification

The AI checks that the storage you want to use actually exists. This prevents failed jobs caused by missing mount points.

HUMAN

Manual mounting

The AI provides the paths, but you still have to run the mount commands on your nodes. The agent handles the discovery so you don't have to hunt for paths.

The workflow

What your AI does when the storage request arrives.

The AI handles the discovery part of your storage setup.

  1. Scan volumes

    Your agent looks through your Lambda Labs environment to find all available filesystems.

    list_filesystems

  2. Identify NAS

    The AI pulls the list of persistent storage volumes available to your cluster.

    list_filesystems

  3. Map paths

    Your agent identifies the specific mount points you'll need for your compute nodes.

    list_filesystems

  4. Verify access

    The AI confirms which filesystems are ready to be used for your multi-node workloads.

    list_filesystems

Try it

Copy these to start.

Use these prompts to start managing your storage.

Starting points

These are opening lines. Swap in your specific volume names or cluster IDs as needed.

Lambda Labs Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_GornvRH1C8hhZ2KJ4gLtkhB2ck8RuwNlliqUvB8m/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Lambda Labs capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lambda-labs-gpu-cloud-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_GornvRH1C8hhZ2KJ4gLtkhB2ck8RuwNlliqUvB8m/mcp"
    }
  }
}
Copy into chat04

  • List all filesystems in my Lambda Labs account.

  • Which NAS volumes are available for my multi-node training job?

  • Find the mount paths for all persistent storage on my GPU cluster.

  • Check if the volume 'data_vol_01' is available in my environment.

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Start here

Connect Lambda Labs once, then ask.

Connect your account once and your credentials stay encrypted. You can then use any MCP-compatible client to talk to your GPU cloud.

Connect Lambda Labs to your AI

FAQ

How this task behaves

  • 01

    Can the AI mount the NAS volumes for me?

    No. The AI can find and list the filesystems, but you must perform the actual mounting on your compute nodes.

  • 02

    Can the AI delete files or volumes?

    No. The AI only has the capability to list filesystems. It cannot delete, move, or modify any data or storage settings.

  • 03

    Does this work for multi-node setups?

    Yes. The AI helps you identify the shared volumes that can be mapped across your different compute nodes.

  • 04

    Can the AI create new storage volumes?

    No. This connector is for discovering and mapping existing storage, not for provisioning new volumes.

  • 05

    How does the AI see my storage?

    The AI uses the list_filesystems tool to read the available storage information from your Lambda Labs environment.

  • More questions about Lambda Labs? The Connector page answers them. See everything the Lambda Labs Connector can do

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