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GPU notebooks, LLM endpoints, Kubernetes, Databricks, and more — instantly available for learning, testing, and demos.

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500+ developers on waitlist
<30s
Lab spin-up time
7+
Lab types
GPU
Powered compute
Free
Early access tier
Available Labs

Every lab you need, ready instantly

Stop spending hours on environment setup. Click to launch, start building.

Popular

GPU Powered JupyterLab

Run notebooks on real GPUs instantly — no drivers, no config.

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New

LLM Inference Endpoints

Deploy vLLM and Ollama APIs in seconds with OpenAI-compatible endpoints.

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AWS Playground

Safe sandbox for AWS experimentation — no cost overruns, no surprises.

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Databricks Workspace

Learn real data engineering workflows with Spark, Delta Lake, and MLflow.

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Kubernetes Instances

Practice real-world K8s deployments with pre-configured clusters.

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CPU Instances

Lightweight environments for dev and testing without the GPU cost.

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Beta

Databases

Spin up Postgres, MongoDB, Redis and more in one click.

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How It Works

From zero to running in seconds

Three steps. No DevOps degree required.

1

Choose a lab

Browse our catalog of GPU notebooks, LLM endpoints, Kubernetes clusters, AWS sandboxes, and more.

2

Spin up instantly

Click launch. Your fully configured environment is live in under 30 seconds — no installs, no SSH keys, no config files.

3

Start building

Jump straight into your work. Code, experiment, deploy, and learn in a production-grade environment.

quicklabs — bash
$quicklabs launch gpu-jupyter
✓ Provisioning GPU instance...
✓ Installing CUDA 12.3 + PyTorch...
✓ Configuring JupyterLab...
🚀 Lab ready in 24s → https://labs.quick-labs.co/j/abc123
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Early Access

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