Google Deep Learning Containers

What it is

Google Deep Learning Containers operates on a pay-as-you-go pricing model, offering automatic savings based on monthly usage and discounted rates for prepaid resources. They offer a pricing calculator to estimate costs, and also provide a cost optimization framework for best practices to optimize workload costs.

Features

• Consistent Environment—: Provides portability and consistency, making it easy to move from on-premises to cloud scale.
• Fast Prototyping—: Comes with all required frameworks, libraries, and drivers pre-installed and tested for compatibility.
• Performance Optimized—: Accelerates model training and deployment with the latest framework versions and NVIDIA® CUDA-X AI libraries.
• Popular Framework Support—: Supports popular machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.

Pricing

Pricing model: Contact for Pricing

• Rapid Prototyping—: Developers can quickly start their projects with a preconfigured environment, saving time on setting up and troubleshooting.
• Scalable Deployment—: The consistent environment provided by the containers allows for easy scaling in the cloud or shifting from on-premises.
• Performance Optimization—: The containers are optimized with the latest framework versions and NVIDIA® CUDA-X AI libraries, accelerating model training and deployment.
• Multi-framework Support—: Supports popular machine learning frameworks like TensorFlow, PyTorch, and scikit-learn, providing flexibility for different project requirements.