CLOUDLABS & WORKSPACES

Ready-to-use cloud labs. More time to build and learn.

Give learners, developers, and customers the environments they need to get hands-on. Launch labs, sandboxes, and demos with reusable templates, clear spending limits, and expert support from setup to cleanup.

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Racko Cloud Labs workspace, code editor, my labs dashboard, and ready-to-use environments

Lab Use Cases

Built around what you teach.

Match your cloud environment to the skills learners need to practise.

Notebook environment with a dataset, training progress and model performance charts

AI Inference & LLMs

Let learners explore how AI models process requests, generate responses and perform under different workloads.

AI model console showing a prompt, a generated response, latency and tokens per second

Data Science & Machine Learning

Help learners work with datasets, run machine learning experiments and evaluate model performance.

GPU server with usage, VRAM, training job progress and a job queue

GPU Computing & AI Training

Give learners practical exposure to GPU-accelerated computing and resource-intensive AI workloads.

Teaching & Practice

One Lab. Two Clear Roles.

Instructors guide the exercise. Learners put the skills into practice.

For instructors

Prepare the tools, define the exercise and share clear instructions.

Web development lab

Exercise brief

01Set up the project
02Build a simple API
03Test your endpoints

For learners

Connect to the environment, follow the brief and work through the exercise.

lab

src

app.js

routes.js

db.js

tests

.env

package.json

app.js

1const express = require('express')

2const app = express()

4app.get('/api/health', (req, res) => {

5 res.json({ status: 'ok' })

6})

8app.listen(3000, () => {

9 console.log('Server running')

10})

TERMINALPROBLEMSOUTPUT

$ node app.js

Illustrative lab experience. Access and setup depend on your course requirements.

Built For Classrooms

One Lab Setup.
Multiple Learners.

Prepare a learning environment once and make it available to an entire class, so students can focus on practical exercises instead of setup.

Discuss Your Requirement

AI Lab notebook workspace connected to a GPU, storage, JupyterLab, Python and a terminal

Deploy to learners

Learner 01

Lab ready

Learner 02

Lab ready

Learner 03

Lab ready

Learner 04

Lab ready

Learner 05

Lab ready

Learner 06

Lab ready

Reusable Setup

Create a lab once and use it for multiple batches.

Classroom Access

Give learners their own environments instantly.

Cloud Compute

High-performance GPUs for real-world practice.

Monitor & Manage

Keep track of usage and progress easily.

AI & Compute Environments

Flexible Environments For Every AI Curriculum.

From running language models to training machine learning systems, provide learners with the compute resources and tools needed for hands-on AI education.

Discuss Your Requirements

Model Runtime: vLLM, Ollama, Hugging Face Transformers
Model Types: Large Language Models, Vision Models
Compute Resources: GPU-enabled cloud environments
Performance Testing: Latency, throughput, token generation
Practical Labs: Model serving, API inference, prompt testing

How It Works

From Requirements To Deployment.

Set up the infrastructure behind your education platform in four steps.

Define Your Requirements
Identify your workloads and requirements.
Choose Your Infrastructure
Select suitable infrastructure.
Configure and Deploy
Configure and launch applications.
Manage & Maintain
Maintain your infrastructure and apps.

Built For EdTech Resellers

Your Brand. Your Customers.
Our Infrastructure.

Offer browser-based cloud labs under your brand. Focus on growing your customer base while Racko handles the infrastructure, provisioning and uptime.

Browser-based labs
No setup, no installs. Access labs directly in the browser.
White-labeling available
Use your own brand, domain and custom experience.
Resell & grow your business
Add cloud labs to your training offerings and reach more learners.