![]() ![]() ![]() “At HEAVY.AI, we’re working to build a future where data science and analytics converge to break down and fuse data silos. The HEAVY.AI platform is used in business and government to find insights in data beyond the limits of mainstream analytics tools. HEAVY.AI is a pioneer in accelerated analytics. Karley Yoder, VP & GM, Artificial Intelligence, GM Healthcare We saw two to three times greater speed on training models with various image sizes, while achieving better performance with increased batch size and higher productivity with a faster model development cycle.” Using the new P4d instances reduced processing time from days to hours. With previous GPU clusters, it would take days to train complex AI models, such as Progressive GANs, for simulations and view the results. Our medical imaging devices generate massive amounts of data that need to be processed by our data scientists. “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. 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. ![]()
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