vast-ai/vastai
Vast.ai CLI to manage GPU instances, volumes, serverless endpoints, and billing.
npx skills add https://github.com/vast-ai/vast-cli --skill vastaiManage GPU instances, templates, volumes, serverless endpoints, SSH keys, and billing on Vast.ai.
> Command is vastai (lowercase). Always use --raw for machine-readable JSON output.
# PyPI (recommended)
pip install vastai
vastai set api-key <YOUR_API_KEY> # Authenticate (one-time); Create API Key in account at https://console.vast.ai/manage-keys/
vastai show user # Verify auth + check balance
vastai create ssh-key ~/.ssh/id_ed25519.pub # Register SSH key (do BEFORE create)
vastai search offers 'gpu_name=RTX_4090 num_gpus=1 verified=true direct_port_count>=1 rentable=true' -o 'dlperf_usd-'
# Note the offer ID from the output
vastai create instance <OFFER_ID> --image pytorch/pytorch:@vastai-automatic-tag --disk 20 --ssh --direct
# Automatically grab appropriate image tag; Response: {"success": true, "new_contract": <INSTANCE_ID>}
vastai show instance <INSTANCE_ID> # Poll until actual_status == "running" (see Instance status values below)
vastai ssh-url <INSTANCE_ID> # Get SSH connection string
vastai copy local:./data/ <INSTANCE_ID>:/workspace/ # Upload files
vastai destroy instance <INSTANCE_ID> -y # Clean up (stops all billing; -y skips confirmation)
API key: https://console.vast.ai/manage-keys/
Available on every command:
--api-key KEY Override stored API key
--raw Output machine-readable JSON (agents should always use this)
--full Print full results (don't page with less)
--explain Show underlying API calls (useful for debugging)
--curl Show equivalent curl command
--no-color Disable colored output
--url URL Override server REST API URL
--retry RETRY Set retry limit for API calls
--version Show CLI version
Search commands accept filter expressions. Operators: =, !=, >, >=, <, <=, in, notin.
# Examples
'gpu_name=RTX_4090 num_gpus=1' # Exact match + numeric
'gpu_ram>=48 reliability>0.95' # Greater-than filters
'geolocation=EU dph_total<=2.0' # Region + price cap
Common filter fields: num_gpus, gpu_name, gpu_ram, cpu_ram, disk_space, reliability, compute_cap, inet_up, inet_down, dph_total, geolocation, direct_port_count, verified, rentable
Common sort fields: score (default — overall value), dlperf_usd (DL perf per dollar), dph_total (price), num_gpus, reliability
vastai show instances # List all your instances (fetches every page, no prompts)
vastai show instances --status running loading # Filter by status
vastai show instances --gpu-name 'RTX 4090' # Filter by GPU
vastai show instances --label training # Filter by label
vastai show instances --order-by start_date desc # Sort by column
vastai show instances --cols id,status,gpu,dph # Custom columns
vastai show instances --raw # Flat JSON list of all instances (scripting)
vastai show instance <id> # Poll single instance (use for status checks)
vastai create instance <offer-id> --image pytorch/pytorch:2.4.0-cuda12.4-cudnn9-runtime --disk 20 --ssh --direct
# Response includes "new_contract": <id> — that is your instance ID
vastai launch instance --gpu-name RTX_4090 --num-gpus 1 --image pytorch/pytorch
vastai start instance <id> # Start stopped instance
vastai stop instance <id> # Stop (preserves disk, no GPU charges)
vastai reboot instance <id> # Stop + start
vastai destroy instance <id> -y # Delete permanently (irreversible; -y required for non-interactive use)
vastai destroy instances <id1> <id2> -y # Batch delete (-y skips confirmation prompt)
vastai label instance <id> --label "training-run-1" # Tag instance
vastai update instance <id> # Recreate from updated template
vastai prepay instance <id> # Deposit credits into reserved instance
vastai recycle instance <id> # Destroy + recreate
Recommended Vast.ai images (use @vastai-automatic-tag to get the right tag for the machine automatically; browse pre-configured models at https://vast.ai/model-library):
<!-- Note: @vastai-automatic-tag is resolved server-side — CLI passes it unchanged -->
vastai/base-image:@vastai-automatic-tag # Minimal Ubuntu base
vastai/pytorch:@vastai-automatic-tag # PyTorch + CUDA
vastai/linux-desktop:@vastai-automatic-tag # Linux desktop (VNC/RDP)
# vLLM — set model via env vars with huggingface model example
vastai create instance <id> --image vastai/vllm:@vastai-automatic-tag --disk 40 --ssh --direct \
--env '-e MODEL_NAME=Qwen/Qwen2.5-3B-Instruct -e HF_TOKEN=hf_xxx'
# ComfyUI — set model checkpoint via env vars with huggingface model example
vastai create instance <id> --image vastai/comfy:@vastai-automatic-tag --disk 40 --ssh --direct \
--env '-e CHECKPOINT_MODEL=black-forest-labs/FLUX.1-schnell -e HF_TOKEN=hf_xxx'
create instance flags:
--image IMAGE — Docker image--disk DISK — Local disk in GB--ssh / --jupyter — Connection type--direct — Faster direct connections--label LABEL — Instance label--env ENV — Env vars and port mappings, e.g. '-e TZ=UTC -p 8080:8080'--onstart FILE — Path to a startup script file--onstart-cmd CMD — Startup script as inline string (for longer scripts use --onstart or gzip+base64 encode)--bid_price PRICE — Interruptible (spot) pricing in $/hr--template_hash HASH — Create from template--create-volume ID — Attach new volume--link-volume ID — Attach existing volume--cancel-unavail — Fail if no machine available (vs. create stopped)Instance status values:
| actual_status | Meaning |
|-----------------|---------|
| null | Provisioning |
| created | Instance created, not yet provisioned |
| loading | Image downloading / container starting |
| running | Active — GPU charges apply |
| stopped | Halted — disk charges only |
| frozen | Paused with memory — GPU charges apply |
| exited | Container process exited unexpectedly |
| rebooting | Restarting (transient) |
| unknown | No recent heartbeat from host |
| offline | Host disconnected from Vast servers |
> Poll loop warning: If actual_status becomes exited, unknown, or offline it will never reach running. Always add a timeout and error branch — otherwise your script loops forever while disk charges accrue. Destroy and retry with a different offer.
> Charges: Storage charges begin at creation. GPU charges begin when status reaches running.
Interruptible (spot) instances are priced below on-demand instances, but can be interrupted at any time by another user with a lower bid. Note: search offers --type bid exposes min_bid, but create instance defaults to on-demand at dph_total unless you pass --bid_price <floor>. Always pass --bid_price after a --type bid search, otherwise the instance will be rented as an on-demand instance/price instead of as an interruptible.
When outbid, the instance moves to stopped (not destroyed) and storage charges continue. Resume by raising the bid via update instance --bid_price.
vastai search offers # Default: verified, on-demand, sorted by score
vastai search offers 'gpu_name=RTX_4090 num_gpus=1 verified=true direct_port_count>=1' -o 'dlperf_usd-'
vastai search offers 'num_gpus>=4 reliability>0.99' -o 'num_gpus-'
vastai search offers --type bid # Interruptible (spot) pricing
vastai search offers --type reserved # Reserved pricing
vastai search offers -n 'gpu_name=H100_SXM' # No default filters
vastai search volumes # Search volume offers
vastai search templates "pytorch" # Search templates
vastai search benchmarks # Search benchmarks
vastai search invoices # Search invoice history
search offers flags: --type on-demand|reserved|bid, --order/-o FIELD[-], --limit, --storage GB, --no-default/-n
vastai ssh-url <id> # Get ssh:// connection URL
vastai scp-url <id> # Get scp:// URL
vastai attach ssh <id> "ssh-ed25519 AAAA..." # Attach SSH key to instance
vastai detach ssh <id> <ssh_key_id> # Remove SSH key (ssh_key_id from show ssh-keys)
vastai show ssh-keys # List account SSH keys
vastai create ssh-key ~/.ssh/id_ed25519.pub # Add SSH key from file (do BEFORE create instance)
vastai create ssh-key # Generate new key if you don't have one
vastai create ssh-key "ssh-ed25519 AAAA..." # Add SSH key inline
vastai delete ssh-key <id> # Remove SSH key from account
vastai update ssh-key <id> "ssh-ed25519 AAAA..." # Update SSH key value
Note: ssh-url returns a connection string — it does not open an interactive session. Use $(vastai ssh-url <id>) to extract the URL, or parse --raw JSON output.
vastai copy <src> <dst> # Copy between instance and local
vastai copy local:./data/ <id>:/workspace/data/ # Local → instance (preferred format)
vastai copy <id>:/workspace/results/ local:./results/ # Instance → local
vastai copy <id-a>:/workspace/ <id-b>:/workspace/ # Instance → instance
vastai copy s3.101:/data/ C.<id>:/workspace/ # Cloud service → instance (s3.<connection-id>)
vastai copy V.1234:/file C.<id>:/workspace/ # Volume → instance
vastai copy V.1234:/file s3.101:/workspace/ # Volume → cloud service
# Legacy format also works: vastai copy 12345:./data ./local-data
vastai cloud copy --src ./data --dst s3://bucket/path \
--instance 12345 --connection <conn-id> \
--transfer "Instance To Cloud" # To cloud storage (add connection in UI on settings page)
vastai cancel copy <dst-id> # Cancel in-progress copy
cloud copy flags: --src, --dst, --instance, --connection, --transfer
Location formats: [instance_id:]path (legacy), C.instance_id:path, V.volume_id:path, cloud_service[.id]:path, local:path. Volume copy is currently only supported for copying to other volumes, instances, or cloud services, not local. Never copy to /root or / — it breaks ssh permissions on the instance and future copies fail.
vastai logs <id> # Container logs (last 1000 lines)
vastai logs <id> --tail 100 # Last 100 lines
vastai logs <id> --filter "error" # Grep filter
vastai execute <id> "nvidia-smi" # Run command on instance
vastai execute <id> "ls /workspace" --schedule DAILY # Scheduled execution
vastai search volumes # Search available volume offers
vastai show volumes # List your volumes
vastai create volume <offer_id> [-s SIZE] [-n NAME] # Create volume (offer_id from search volumes)
vastai clone volume <source_id> <dest_id> [-s SIZE] # Clone volume (dest_id from search volumes)
vastai delete volume <id> # Delete volume
vastai create network-volume ... # Create network volume
vastai list network-volume # List network volumes
vastai take snapshot <instance_id> --repo REPO --docker_login_user USER --docker_login_pass PASS # Snapshot instance to volume
vastai show endpoints # List endpoint groups
vastai create endpoint --name "my-ep" ... # Create endpoint
vastai update endpoint <id> ... # Update endpoint
vastai delete endpoint <id> # Delete endpoint
vastai get endpt-logs <id> # Endpoint logs
vastai show workergroups # List worker groups
vastai create workergroup --name "wg" ... # Create worker group
vastai update workergroup <id> ... # Update worker group
vastai update workers <id> # Rolling update of workers
vastai delete workergroup <id> # Delete worker group
vastai get wrkgrp-logs <id> # Worker group logs
vastai show deployments # List deployments
vastai show deployment <id> # Deployment details
vastai show deployment-versions <id> # Version history
vastai delete deployment <id> # Delete deployment
vastai show scheduled-jobs # List scheduled jobs
vastai delete scheduled-job <id> # Delete scheduled job
vastai search templates "pytorch" # Search templates
vastai create template --name "x" --image "img" # Create template
vastai update template <id> ... # Update template
vastai delete template <id> # Delete template
vastai set api-key <key> # Save API key locally
vastai show api-key <id> # Show a specific key
vastai show api-keys # List all your API keys
vastai create api-key --name "ci" --permissions '{...}' # Create restricted key
vastai delete api-key <id> # Delete key
vastai reset api-key # Reset main key (get new from console)
vastai show user # Account info, credit balance
vastai show audit-logs # Account action history
vastai show connections # Cloud storage connections
vastai show ipaddrs # IP address history
vastai show invoices-v1 # Charges/invoices (paginated)
vastai show invoices-v1 --charges # Charges only
vastai show invoices-v1 --invoices # Invoices only
vastai show invoices-v1 --start-date 2026-01-01 --end-date 2026-02-01
vastai show invoices-v1 --limit 50 --latest-first
vastai show deposit <id> # Reserved instance deposit info
vastai create team --name "myteam" # Create team
vastai show members # List team members
vastai invite member --email [email protected] # Invite member
vastai remove member <id> # Remove member
vastai create team-role --name "viewer" ... # Create role
vastai show team-role <id> # Role details
vastai show team-roles # List roles
vastai update team-role <id> ... # Update role
vastai remove team-role <id> # Remove role
vastai destroy team # Delete team
vastai show env-vars # List user env vars
vastai create env-var KEY val # Create env var
vastai update env-var KEY newval # Update env var
vastai delete env-var KEY # Delete env var
vastai show machines # List your machines
vastai list machine <id> # List/unlist machine on marketplace
vastai show machine <id> # Machine details
vastai cleanup machine <id> # Clean up machine state
vastai schedule maint <id> ... # Schedule maintenance window
vastai cancel maint <id> # Cancel scheduled maintenance
vastai show maints # List maintenance windows
vastai unlist machine <id> # Remove from marketplace
| Error | Cause | Fix |
|-------|-------|-----|
| 401 Unauthorized | Invalid or expired API key | vastai set api-key <new-key> |
| Insufficient credits | Account balance too low | Add credits at https://cloud.vast.ai/billing/ |
| No offers found | Filters too restrictive | Relax filters, try --no-default/-n |
| Permission denied | SSH key not attached | vastai create ssh-key before create instance |
| Connection refused | Instance not yet running | Poll show instance <id> until actual_status == "running" |
| Hangs on destroy instance | Confirmation prompt waiting for input | Add -y flag: vastai destroy instance <id> -y |
https://console.vast.ai/instances/ # Your instances
https://console.vast.ai/create/ # Search GPU offers
https://console.vast.ai/manage-keys/ # Create and manage API keys
https://cloud.vast.ai/billing/ # Billing
https://console.vast.ai/api/v0/instances/ # Instances endpoint
https://console.vast.ai/api/v0/asks/ # Offers search
Access a port exposed on your instance:
ssh://root@<ssh_host>:<ssh_port> # SSH (from vastai ssh-url)
Direct connections (when --direct used at creation): <direct_port_end> field in instance JSON.
Fetch the complete documentation index at: https://docs.vast.ai/llms.txt
Take vast-ai/vastai from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.