DeepInfra's newly launched GPU Instances provide on-demand access to high-performance GPU resources in the cloud, catering to machine learning training, inference, data processing, and other compute-intensive tasks. This feature allows users to quickly launch containers with dedicated GPU access, offering full SSH control and flexible configurations to suit various performance and budget needs. The setup is streamlined, with security and access control built into the platform, and containers are isolated and accessible only via SSH. Users can manage their GPU Instances through a web interface or a comprehensive HTTP API, allowing for easy integration into existing workflows. GPU Instances are particularly beneficial for machine learning practitioners, research teams, and development teams requiring scalable and cost-effective solutions for prototyping and running AI applications. The service adopts a pay-per-use pricing model, with no upfront costs, enabling users to efficiently manage their compute resources and costs.