- INVENTORY
- CAPACITY
- EFFICIENCY
- HUMAN
Short answer
How can I audit my GPU usage with an AI?
Your AI uses the Paperspace connection to pull a list of all active machines and their specific hardware specs. You get a clear map of which GPUs are running and where you're hitting memory limits.
Audit outcomes
Where your data lands.
The AI organizes your hardware data into these specific views.
INVENTORY
Active machine list
The AI pulls a full list of every running instance. You'll see exactly what is currently active in your environment.
CAPACITY
Memory constraint map
The AI checks specific hardware details to find where you are running out of VRAM. This helps you spot potential crashes before they happen.
EFFICIENCY
Idle resource detection
The AI identifies machines that are running but not being utilized. You can use this to stop wasting budget on unused GPUs.
HUMAN
Manual scaling decisions
The AI provides the data, but you decide when to spin up new instances or resize existing ones. It leaves the actual infrastructure changes to you.
The workflow
What your AI does when the request arrives.
The AI moves from a broad overview to specific hardware inspection.
Scan the environment
The AI starts by grabbing a list of every machine currently in your Paperspace account.
list_machinesInspect hardware specs
Once it finds the relevant machines, the AI looks at the specific GPU and memory configurations for each one.
get_machine_detailsIdentify bottlenecks
The AI compares the requested workloads against the available VRAM to find constraints.
get_machine_detailsReport findings
The AI summarizes the status of your fleet, highlighting which machines are full and which are empty.
list_machines
Try it
Copy these to start.
Use these prompts to begin your audit.
Starting points
You can swap out the machine names or specific resource types to get more targeted answers.
Paperspace Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_w4nfco02fghsGPeqz307rO7rx1srVWdx33BhZToR/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Paperspace capabilities are ready to use.
{
"mcpServers": {
"paperspace-mcp": {
"url": "https://edge.vinkius.com/vk_preview_w4nfco02fghsGPeqz307rO7rx1srVWdx33BhZToR/mcp"
}
}
}List all my active machines in Paperspace.
Which of my machines are currently running out of GPU memory?
Show me the hardware details for the machine named 'training-cluster-01'.
Are there any idle machines I should consider shutting down?
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Paperspace once, then ask.
Just link your account once. Your credentials stay encrypted, and you can immediately start asking your agent about your hardware status.
Connect Paperspace to your AIFAQ
How this task behaves
- 01
Can the AI shut down my machines?
No. The AI can only read machine status and details. You must manually stop or delete machines in the Paperspace console.
- 02
Can the AI create new GPU instances for me?
No. The tools only allow the AI to list and inspect existing machines. It cannot provision new hardware.
- 03
How often does the AI see my machine status?
The AI sees the status at the exact moment you ask the question by calling the tools in real time.
- 04
Does the AI know my specific GPU model?
Yes, it can pull the specific hardware details for any machine you ask about.
- 05
Can I use this to monitor real-time GPU temperature?
No. The AI can only report on the machine configuration and status provided by the tools.
More questions about Paperspace? The Connector page answers them. See everything the Paperspace Connector can do
Connect Paperspace to Claude, Cursor, ChatGPT & more
