Get Started with GPUiq
Set up your account and launch your first GPU instance in minutes to begin your compute tasks.
Prerequisites
Before you begin, ensure you have:
- A valid email address for account verification
- Basic knowledge of SSH for connecting to instances (optional for dashboard access)
- A payment method for billing GPU usage
GPUiq offers a free trial credit upon signup. No credit card required initially.
Create Your Account
Follow these steps to sign up and verify your email.
Sign Up
Visit https://dashboard.example.com and click Sign Up.
Fill in your email, password, and desired username.
Verify Email
Check your inbox for a verification email from GPUiq.
Click the verification link to activate your account.
Log In
Return to the dashboard and log in with your credentials.
You'll land on the main dashboard overview.
Navigate the Dashboard
The GPUiq dashboard provides quick access to your instances, billing, and configurations.
Instances
View, start, stop, and manage your GPU instances.
Billing
Track usage, costs, and add payment methods.
Snapshots
Create and restore instance snapshots for easy backups.
Launch Your First GPU Instance
Select a powerful GPU and deploy it in seconds.
Choose GPU Type
From the dashboard, click New Instance.
Select a GPU model like NVIDIA A100 or H100 based on your task (AI, rendering, mining).
Configure Basics
Set instance size, storage (>100GB recommended), and region closest to you.
Enable auto-scaling if needed for variable workloads.
Deploy
Review settings and click Launch.
Your instance is ready in under 60 seconds.
Use the provided SSH command from the dashboard.
ssh root@{public-ip} -p 22 -i gpu-key.pem
Launch programmatically for automation.
curl -X POST https://api.example.com/v1/instances \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"gpu_type": "A100",
"storage_gb": 200,
"region": "us-east"
}'
const response = await fetch('https://api.example.com/v1/instances', {
method: 'POST',
headers: {
'Authorization': 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json'
},
body: JSON.stringify({
gpu_type: 'A100',
storage_gb: 200,
region: 'us-east'
})
});
Basic Configuration
Customize your instance post-launch.
Specifies the GPU model, e.g., A100 or H100.
Enables automatic scaling based on load (true/false).
For AI tasks, install CUDA via SSH:
wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
sudo apt-get -y install cuda
Save your instance as a snapshot after initial setup to reuse configurations quickly, saving up to 70% on costs.
Next Steps
- Monitor performance in the dashboard
- Explore advanced features like automatic switching
- Integrate with your workflows using the API
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