Traditional data centers can’t keep pace with the demands of modern AI. From GPUs and liquid cooling to specialized storage, ...

Its ability to handle vast amounts of data, ensure fault tolerance, and run on commodity hardware makes it an invaluable tool for modern data processing challenges.

Artificial intelligence dramatically improves phased array antenna data processing.

As demand for speed and data processing explodes, GPUs are becoming essential for unlocking the potential of next-generation technologies like AI and edge computing. Graphics processing units ...

A breakthrough development in photonic-electronic hardware could significantly boost processing power for AI and machine learning applications. The approach uses multiple radio frequencies to ...

What Is Parallel Processing, or Parallelization? In parallel processing, “different parts of a computation are executed simultaneously on separate processor hardware,” says Tao B. Schardl, a ...

Apache Arrow defines an in-memory columnar data format that accelerates processing on modern CPU and GPU hardware, and enables lightning-fast data access between systems.

AI-Centric Processing Power Another pivotal aspect of Meta’s data center is its emphasis on AI-centric processing power.

Microsoft Monday said it has acquired Fungible, a developer of composable infrastructure based on the company’s data processing unit, or DPU, hardware for accelerating data center network and ...

Planning for an AI future requires a fundamental rethinking of data processing hardware. Agencies must move beyond general-purpose processors and embrace specialized hardware solutions designed to ...