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
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.
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.
Equinix customers will soon be able to rent NVIDIA-powered servers to run AI workloads on hybrid clouds using bare metal servers. The NVIDIA AI Launchpad service will be available as an on-demand service with hourly billing.
In this edition of Voices of the Industry, Service Express Chief Technology Officer Jake Blough shares how machine learning offers new opportunities for IT leaders to accomplish route tasks in the data center.
In this edition of Voices of the Industry, Bob Shine, VP of Marketing and Product Management at Telescent, explores how the rising costs of optics in networks can be managed by dynamic resource allocation at the fiber layer.
In this edition of Voices of the Industry, Chao Huang, Senior Application Engineer of Intel Data Center Management Solutions shares insights on how data center management solutions can give your edge cloud strategy the edge.
Investors are pouring money into artificial intelligence (AI) startups at an unprecedented rate. Last week, two AI hardware startups received nearly $1 billion in venture capital funds to bring additional chips to market.
NVIDIA is entering the CPU market with an Arm-based processor that will be tightly integrated with its next-generation GPUs. The Grace CPU seeks to bring new levels of power and efficiency to massive AI workloads, and offer a high-end alternative to Intel x86 CPUs.
A re-energized Intel has launched its Ice Lake family of 10 nm processors, bringing new levels of power and efficiency to its data center platform. Intel is emphasizing the versatility of the 3rd Gen Intel Xeon chips, touting their readiness for workloads from AI to the cloud to the edge.
AI and GPUs have revolutionized computing, but they also present challenges. Eric Jacobs, Chief Revenue Officer of Aligned, shares insights on how data centers can overcome the primary obstacle to densification – cooling.