Delve into the world of data center design and learn how to create efficient, scalable, and resilient infrastructure -- from power and cooling to servers, storage, networks, hyperconverged infrastructure, edge computing, and data centers for machine learning.
People or data centers? Communities around the world are debating this question as they try to balance the plans of service providers and the concerns of residents. However, it is possible for a data center to be a good neighbor.
Emerging technologies are pushing data center providers to handle increased needs for data storage while also achieving greater levels of energy efficiencies and cost savings. While striving to meet the goals of today, an eye on the future is...
AI/ML workloads exhibit similar characteristics and behaviors to HPC and HPD, meaning networking professionals can apply their existing knowledge base to ensure AI/ML runs as it should.
Chilled-air systems have been a loyal companion for most data-center operators for years, but the inefficiencies of those systems are now becoming exposed.
This "purpose-built approach" to chip-making seeks to address the urgent needs of companies making cloud computing, internet-connected technology, mobile devices and more.