In a move to enable wider use of liquid cooling, NVIDIA is introducing its first data center GPU with direct chip liquid cooling. One of the early adopters is Equinix, which is test-driving the servers and hopes to implement liquid cooling in a sustainable AI platform.
Kao Data was determined to design their new data centers to be as energy efficient as possible. Future Facilities explores how computational fluid dynamic (CFD) simulations can be used to validate the design of data center cooling systems.
NVIDIA today unveiled powerful new GPU hardware to serve as the key building blocks for its vision to transform data centers into “AI factories” unleashing new frontiers in technical computing. That includes the new Hopper architecture and H100 GPUs.
Future Facilities assembled a panel of thermal and operational experts to discuss not only the unprecedented changes and challenges facing the industry, but how they’re overcoming them. In this white paper, they explore how embracing change can ultimately reduce the risks of change in the data center industry.
Meta has built a new supercomputer that will likely become the fastest AI system in the world when it is completed later this year, the company said today. Meta says the system will boost its AI capabilities and vision for a future digital metaverse.
New technologies like artificial intelligence, autonomous vehicles, and cryptocurrency are driving current and future compute needs.. A new DCF special report courtesy of NTT explores how hybrid architectures help support these workloads.
NVIDIA sees a future filled with virtual worlds powered with augmented reality and connected by powerful networks. At GTC the company unveiled new tools for world-building, creating 400Gbps Infiniband networks, and making AI more accessible to data center customers.
A new white paper from Server Technology explores how efficiency and sustainability, and even the integration of renewable energy sources, are changing the way data center operators are thinking about power distribution solutions.
The future of the data center will rely heavily on artificial intelligence (AI) and machine learning (ML) to improve business processes. Jim Carson, Data Science Manager at Service Express, shares how natural language processing techniques can automate tasks and increase accuracy in your organization.
With more and more processing power being packed into servers supporting artificial intelligence and other processing-intensive applications, rack power requirements are exceeding 20 kilowatts (kW) in a growing number of facilities. Fred Rebarber Senior Technical Director, Thermal Solutions at Vertiv, explores how liquid cooling supports data center AI and digital transformation initiatives