GPU Instances
GPU instances empower your computing tasks by providing high-performance hardware tailored for intensive workloads such as machine learning, data processing, and 3D rendering. Yotta Labs offers a simp
Last updated
GPU instances empower your computing tasks by providing high-performance hardware tailored for intensive workloads such as machine learning, data processing, and 3D rendering. Yotta Labs offers a simp
Last updated
Basic Computing Knowledge: Familiarity with cloud platforms and launching virtual instances is helpful.
Navigate to the Instances section from the left-hand menu
Select Your Instance Type Choose the best GPU type for your workload from the available options (e.g., NVIDIA A10, T4, or RTX 4090). Each instance is optimized for different performance needs.
Choose Your Region Select the region closest to you for reduced latency and improved performance.
Configure Your Instance
Allocate CPU, RAM, and storage resources based on your workload requirements.
Set a custom instance name to identify your project.
Launch the Instance Click “Confirm” to start your instance. Yotta Labs will handle the provisioning.
Access and Install Software Use SSH to connect to your instance and install required GPU drivers or additional software.
Validate the Setup Test your instance to ensure the GPU is configured correctly for your application.