EC2 P5 / H100 GPU Clusters

EC2 P5 instances are Amazon Web Services' highest-performance GPU compute instances, each equipped with NVIDIA H100 Tensor Core GPUs — currently among the most powerful GPUs available for AI workloads. H100 GPUs are built on NVIDIA's Hopper architecture and deliver significantly greater throughput than their predecessors for both training large neural networks and running high-volume inference workloads, enabled by features such as the Transformer Engine and NVLink high-speed GPU interconnects. EC2 P5 instances are designed for large-scale distributed training of foundation models, scientific simulation, and other memory- and compute-intensive AI tasks.

For enterprises building or fine-tuning large AI models, EC2 P5 clusters represent the current standard for high-end cloud AI compute. Organizations training large language models, multimodal models, or foundation models for domain-specific applications (such as a retail demand forecasting model trained on proprietary transaction data) require this class of infrastructure to complete training in economically feasible timeframes. The cost is substantial — P5 instances are among the most expensive cloud compute resources available — making cluster utilization, job scheduling efficiency, and the decision to train versus use pre-trained models critical financial considerations in any advanced AI program.