autoscale

name	autoscale
description	Manage Vast.ai autoscaling endpoints and worker groups for production deployments. Use when setting up auto-scaling GPU inference, managing worker pools, or deploying services.
argument-hint	[action]
allowed-tools	Bash

Vast.ai Autoscaling & Endpoints

Manage production deployments with auto-scaling worker pools.

User Request

$ARGUMENTS

Concepts

• Endpoint: A deployment target that manages load and scaling policy
• Worker Group: A pool of instances (workers) tied to an endpoint, auto-scaled based on load

Endpoints

Create

vastai create endpoint \
  --endpoint_name '<NAME>' \
  --target_util 0.9 \
  --max_workers 20 \
  --cold_workers 5 \
  --cold_mult 2.5 \
  --min_load 0.0

Option	Description	Default
--endpoint_name	Name for the endpoint	(required)
--target_util	Target utilization 0–1	0.9
--max_workers	Max workers	20
--cold_workers	Min cold/standby workers	5
--cold_mult	Cold capacity multiplier	2.5
--min_load	Minimum floor load (perf units/s)	0.0
--min_cold_load	Minimum cold load	0.0

Manage

vastai show endpoints
vastai update endpoint <ID> [--target_util 0.85 --max_workers 50 ...]
vastai delete endpoint <ID>
vastai get endpt-logs <ID> [--level 0-3 --tail N]

Worker Groups

Create

vastai create workergroup \
  --template_hash '<HASH>' \
  --endpoint_name '<NAME>' \
  --test_workers 3 \
  --cold_workers 2 \
  --target_util 0.9 \
  --search_params 'gpu_name=RTX_4090 reliability>0.9'

Option	Description
--template_hash	Template for worker instances
--template_id	Template ID (alternative)
--endpoint_name / --endpoint_id	Target endpoint
--test_workers	Workers for perf estimation
--cold_workers	Min cold workers
--target_util	Target utilization
--cold_mult	Cold capacity multiplier
--search_params	Search query for selecting machines
--gpu_ram	Estimated GPU RAM requirement
--launch_args	Extra args for instance creation
-n	Disable default search params

Manage

vastai show workergroups
vastai update workergroup <ID> [--target_util --cold_workers ...]
vastai delete workergroup <ID>
vastai get wrkgrp-logs <ID> [--level 0-3 --tail N]

Typical Setup Flow

1. Create a template with your Docker image and config
2. Create an endpoint with scaling policy
3. Create a worker group linking the template to the endpoint
4. Monitor with show endpoints and show workergroups
5. Check logs with get endpt-logs and get wrkgrp-logs