Remove 2015 Remove Artificial Intelligence Remove Scalability Remove Software
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Observability platform vs. observability tools

Dynatrace

With limited visibility, teams have a narrow understanding of how those decisions impact other software components and vice-versa. But by 2015, it was more common to split up monolithic applications into distributed systems. The key driver behind this change in architecture was the need to release better software faster.

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A Brief Guide of xPU for AI Accelerators

ACM Sigarch

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. With its modular architecture, DLA is scalable, highly configurable, and designed to simplify integration and portability.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Fraud.net use AWS to support highly scalable, big data applications that run machine learning processes for real-time analytics. Fraud.net is a good example of this.

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