EC2 GPU Instances

The text discusses the growing popularity and demand for GPU instances in Amazon EC2, driven by advancements in AI, machine learning, gaming, and other compute-intensive applications. With the rise in these applications, companies are increasingly renting GPU compute power from cloud providers like Amazon to avoid the high upfront costs of hardware. Amazon offers two main categories of GPU instances: the P family, which is optimized for general-purpose GPU compute tasks and large-scale model training, and the G family, which is more cost-effective and suited for graphics-intensive applications and smaller ML workloads. The text compares these instances based on use cases, performance, instance size, and pricing, highlighting that while the P family is powerful and suited for demanding tasks, the G family strikes a balance between cost and performance, making it suitable for a wide range of workloads. It emphasizes the importance of considering factors like availability, hardware compatibility, and cost-effectiveness when choosing an appropriate instance for specific machine learning workloads.