The efficient flow of data stands is foundational to achieving optimal performance and scalability in modern architectures.

Amazon Web Services, Amazon's cloud computing business, has opened physical locations where customers can upload their data.

AWS is designing more hardware in-house as it looks for opportunities to enhance data-center efficiency and reduce costs.

data analytics, and AI services are all coming together under one roof at Amazon Web Services. Another offering that AWS announced to support the integration is the SageMaker Data Lakehouse ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Today at its annual huge conference re:Invent 2024, Amazon Web ...

In a recent article on its security blog, AWS detailed its plan for migrating to post-quantum cryptography (PQC). The article ...

At its annual re:Invent conference in Las Vegas on Monday, Amazon's AWS cloud computing service disclosed numerous changes to its computing infrastructure -- with a big emphasis on liquid cooling ...

As the data center industry adapts to the rapidly evolving computing needs of artificial intelligence, cloud giant Amazon Web Services has unveiled significant redesigns of many of the ...

This is the tipping point that AWS is now looking to capitalize upon ... tightly to an organization’s specific business logic and data and other fine-tuning mechanisms. This means we can remove ...

AWS addressed that limitation with an internally developed technology called the Elastic Fabric Adapter. It’s a network device that speeds up the flow of data between the company’s AI chips.

“These insights can also flow into Splunk ... “Enriching workload visibility data with AWS network performance and making it available to Splunk enables real-time visibility into the entire ...