![]() These are interconnected with a petabit-scale nonblocking network. To deliver large-scale compute at low latency, P5 instances are deployed in Amazon EC2 UltraClusters that enable scaling up to 20,000 H100 GPUs. They provide market-leading scale-out capabilities for distributed training and tightly coupled HPC workloads with up to 3,200 Gbps of networking using second-generation Elastic Fabric Adapter (EFAv2). To deliver these performance improvements and cost savings, P5 instances complement NVIDIA H100 Tensor Core GPUs with 2x higher CPU performance, 2x higher system memory, and 4x higher local storage as compared to previous-generation GPU-based instances. ![]() You can also use P5 instances to deploy demanding HPC applications at scale for pharmaceutical discovery, seismic analysis, weather forecasting, and financial modeling. These applications include question answering, code generation, video and image generation, and speech recognition. You can use P5 instances for training and deploying increasingly complex large language models (LLMs) and diffusion models powering the most demanding generative artificial intelligence (AI) applications. P5 instances help you iterate on your solutions at a faster pace and get to market more quickly. ![]() They help you accelerate your time to solution by up to 6x compared to previous-generation GPU-based EC2 instances, and reduce cost to train ML models by up to 40%. Amazon Elastic Compute Cloud (Amazon EC2) P5 instances, powered by the latest NVIDIA H100 Tensor Core GPUs, deliver the highest performance in Amazon EC2 for deep learning (DL) and high performance computing (HPC) applications. ![]()
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