Workloads are becoming more distributed to support new generation apps and broader use of Machine Learning and AI to help make real-time decisions. Jason Carolan of Flexential explores why networking from the edge to core (and back to the edge) will be critical for IoT, AI, and automation.
Insights: Machine Learning and Artificial Intelligence
Machine learning and artificial intelligence have arrived in the data center, changing the face of the hyperscale server farm as racks begin to fill with ASICs, GPUs, FPGAs and supercomputers. The race to leverage machine learning is led by the industry’s marquee names, including Google, Facebook and IBM. As usual, the battlefield runs through the data center, with implications for the major cloud platforms and chipmakers like Intel and NVIDIA.
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.
The world has changed overnight, and every industry is playing catch-up to meet higher demands from their customers. Noah Boudreaux, General Manager Data Center Sales and Operations for Venyu, shares insights on how data centers can meet customer demands and deliver excellent customer experiences during challenging times.
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.
Traditional cooling systems will certainly still have their place in the data center. However, new types of workloads simply require a new way to cool the servers on which they operate. A new Data Center Frontier special report, courtesy of TMGcore, looks at how liquid cooling is driving the evolution of the data center industry.
This white paper from Anritsu outlines the PCI Express (PCIe) 6.0 standards slated for finalization by PCI-SIG in 2021. The paper covers the enhanced PCIe 6.0 technologies and provides guidelines on selecting the proper test solutions to verify PCIe 6.0 designs.
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
There are approximately 10 billion IoT devices in the world, and that number is expected to hit 75 billion by 2025. With so many connected devices, it is no wonder the amount of data created each day continues to spike upward. Jason Carolan, Chief Innovation Officer at Flexential, explores the importance of the edge when it comes to real-time data processing.