Superframe

Build, on your terms, large-scale services for batch, big data, and container workloads using Azure Virtual Machine Scale Sets, which let you create and manage a group of heterogeneous load-balanced virtual machines (VMs). Increase or decrease the number of VMs automatically in response to demand or based on a schedule you define. Centrally manage, configure, and update thousands of VMs and provide higher availability and security for your applications. Increase application uptime by using availability zones and availability sets to automatically distribute VMs in a scale set within a single data center or across multiple data centers. Scale sets run multiple VM instances of your application. Therefore, if one of these instances has a problem, your customers will continue to access your application with minimal disruption. Virtual machine scale sets guarantee up to 99.99 percent service-level agreements (SLAs) for your VMs.

Amazon EC2 G5 instances are the latest generation of NVIDIA GPU-based instances that can be used for a wide range of graphics-intensive and machine-learning use cases. They deliver up to 3x better performance for graphics-intensive applications and machine learning inference and up to 3.3x higher performance for machine learning training compared to Amazon EC2 G4dn instances. Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and gaming to produce high-fidelity graphics in real time. With G5 instances, machine learning customers get high-performance and cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing, computer vision, and recommender engine use cases. G5 instances deliver up to 3x higher graphics performance and up to 40% better price performance than G4dn instances. They have more ray tracing cores than any other GPU-based EC2 instance.