Innovations in deep learning (DL), especially the rapid growth of large language models (LLMs), have taken the industry by storm. DL models have grown from millions to billions of parameters and are demonstrating exciting new capabilities. …
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Since Amazon GuardDuty launched in 2017, GuardDuty has been capable of analyzing tens of billions of events per minute across multiple AWS data sources, such as AWS CloudTrail event logs, Amazon Virtual Private Cloud (Amazon VPC) Flow Logs, …
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With S3 Object Lambda, you can use your own code to process data retrieved from Amazon S3 as it is returned to an application. Over time, we added new capabilities to S3 Object Lambda, like the ability to add your own code to S3 HEAD and …
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Today we are announcing the general availability of Amazon Lightsail for Research, a new offering that makes it easy for researchers and students to create and manage a high-performance CPU or a GPU research computer in just a few clicks on …
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We’ve come a long way since the launch of the m1.small instance in 2006, adding instances with additional memory, compute power, and your choice of Intel, AMD, or Graviton processors. The original general-purpose “one size fits all” …
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To build machine learning models, machine learning engineers need to develop a data transformation pipeline to prepare the data. The process of designing this pipeline is time-consuming and requires a cross-team collaboration between …
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We have given you the flexibility and ability to run the largest and most complex high performance computing (HPC) workloads with Amazon Elastic Compute Cloud (Amazon EC2) instances that feature enhanced networking like C5n, C6gn, R5n, M5n, …
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Today, we’re announcing AWS SimSpace Weaver, a new compute service to run real-time spatial simulations in the cloud and at scale. With SimSpace Weaver, simulation developers are no longer limited by the compute and memory of their …
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