![]() “At GE Healthcare, we provide clinicians with tools that help them aggregate data, apply AI and analytics to that data and uncover insights that improve patient outcomes, drive efficiency, and eliminate errors. GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform. GE Healthcare is a leading global medical technology and digital solutions innovator. Unlike on-premises systems, you can access virtually unlimited compute and storage capacity, scale your infrastructure based on business needs, and spin up a multinode ML training job or a tightly coupled distributed HPC application in minutes, without any setup or maintenance costs. They can also use it to run HPC applications like pharmaceutical discovery, seismic analysis, and financial modeling. ![]() Researchers, data scientists, and developers can use P4d instances to train ML models for use cases such as natural language processing, object detection and classification, and recommendation engines. You can easily scale from a few to thousands of NVIDIA A100 GPUs in the EC2 UltraClusters based on your ML or HPC project needs. Each EC2 UltraCluster is one of the most powerful supercomputers in the world, helping you run your most complex multinode ML training and distributed HPC workloads. P4d instances are deployed in hyperscale clusters called Amazon EC2 UltraClusters that comprise high performance compute, networking, and storage in the cloud. P4d instances provide up to 60% lower cost to train ML models, including an average of 2.5x better performance for deep learning models compared to previous-generation P3 and P3dn instances. These instances support 400 Gbps instance networking. P4d instances are powered by NVIDIA A100 Tensor Core GPUs and deliver industry-leading high throughput and low-latency networking. M5a instances offers up to 10% savings for customers who are looking to further cost optimize their Amazon EC2 compute environments.Amazon Elastic Compute Cloud (Amazon EC2) P4d instances deliver high performance for machine learning (ML) training and high performance computing (HPC) applications in the cloud. ![]() M5a and M5ad instances feature the AMD EPYC 7000 series processor with an all core turbo clock speed of up to 2.5 GHz. M5zn instances offer up to 45% higher compute performance over EC2 M5 instances, delivering the fastest Intel Xeon Scalable processors available in the cloud, with an all-core turbo frequency up to 4.5 GHz. In addition to AVX-512, there is support for the new Vector Neural Network Instructions (AVX-512 VNNI) which will help speed up typical machine learning operations like convolution and inference. M5n and M5dn instances feature 2nd generation Intel Xeon Scalable Processors (Cascade Lake) with a sustained all-core Turbo CPU frequency of 3.1 GHz. M5 instances provide support for the Intel Advanced Vector Extensions 512 (AVX-512) instruction set, offering up to 2x the FLOPS per core compared to the previous generation M4 instances. M5 and M5d instances feature either the 1st or 2nd generation Intel Xeon Platinum 8000 series processor (Skylake-SP or Cascade Lake) with a sustained all core Turbo CPU clock speed of up to 3.1 GHz, and deliver up to 20% improvement in price/performance compared to M4 instances.
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