Quest LabsQuestLabs
GPU Cloud Platform

Enterprise GPU
Infrastructure

Deploy Docker workloads on high-performance GPUs. Template-based orchestration, persistent storage, hourly billing. Zero commitments.

Get StartedView Pricing
99.9%
Uptime
<12s
Deploy
4+
GPU Types
99.9%
Uptime SLA
Low
Hourly Rate
12s
Avg Deploy
4
GPU Types

How it works

From zero to GPU in four steps

View pricing
01

Create Account

Sign up and get started in under a minute.

02

Create Template

Choose GPU, Docker image, startup script, and disk size.

03

Review & Approve

Submit your template for review. Approved in minutes.

04

Launch Instances

One click to launch. Instances run your workload automatically.

Capabilities

Everything you need for GPU development

Docker Native

Submit any Docker image as a template. Pull from Docker Hub, private registries, or use popular pre-built images. The platform handles provisioning and orchestration.

Any Docker imagePrivate registriesManaged runtime

Template-Based Scaling

Create a template once, then launch as many instances as you need. Effortless scaling for production batch processing and distributed training.

One template, many instancesParallel workloadsOne-click scaling

Secure & Isolated

Every instance runs in a fully isolated environment. Your data, processes, and network are private. Persistent storage survives restarts — your checkpoints are safe.

Full isolationPersistent storagePrivate networking

Global Availability

Deploy instances in multiple regions worldwide. Low-latency access to GPUs in US, EU, and Asia. Automatic region selection for optimal performance.

Multi-regionLow latencyAuto-routing
thequestlabs.com/dashboard
LLaMA Fine-Tuning
RTX 5090
Running
SD WebUI Service
RTX 4090
Running
CUDA Dev Environment
RTX 3090
Stopped

Intuitive Console

Manage everything from one dashboard

No infrastructure expertise needed. Create a template, get it approved, then launch instances. Quest Labs handles provisioning, storage, and orchestration.

  • One-click instance launch and management
  • Real-time status monitoring and logs
  • Template review ensures safe deployments
  • Billing transparency — see costs in real time
Get started for free

GPU Catalog

Choose your hardware

Full pricing
GPUMemory
A400016GB GDDR6
RTX 3090Popular24GB GDDR6X
RTX 409024GB GDDR6X
RTX 509032GB GDDR7
All GPUs include Docker runtime, persistent storage, and managed orchestration.See current pricing →

Why switch

Stop overpaying for GPU compute

Traditional Cloud
Quest Labs
GPU hourly rate
Premium pricing
Competitive rates
Minimum commitment
1-3 year reserved
None
Setup complexity
Kubernetes + drivers
Submit a Docker image
Managed orchestration
DIY
Fully managed
Billing when idle
Still charged
$0
Storage
Separate service
20 GB free, built-in

Plans

Simple credit-based billing

All plans

Basic

$9.99
10 credits · $1.00/credit
Get Started
Popular

Pro

$29.99
38 credits · $0.79/credit
Get Started

Growth

$59.99
80 credits · $0.75/credit
Get Started

FAQ

Quest Labs charges per hour of GPU usage. Buy credits upfront — each GPU type has an hourly rate deducted from your balance. Rates may vary based on demand and availability. Stop an instance and billing stops immediately. No hidden fees.
Yes. Submit any public or private Docker image as a template — PyTorch, TensorFlow, Hugging Face, or custom builds from Docker Hub or private registries. Templates are reviewed before deployment.
You create a template with your Docker image, startup script, and GPU preference. After a quick review, your template is approved and you can launch one or many instances from it. The platform handles all provisioning.
Yes. Each instance includes free persistent storage. Datasets, checkpoints, and installed packages are preserved. Data is only removed when you terminate an instance. See the pricing page for current storage rates.
Create a template once and launch as many instances as you need in parallel. The platform supports scaling for production workloads and batch processing.

Ready to deploy?

Task-based GPU cloud for training, inference, and batch workloads. No contracts, no minimums.

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