Amazon Debuts New AMD-based GPU Instances for Graphics Acceleration

September 12, 2017

Last week Amazon Web Services (AWS) streaming service, AppStream 2.0, introduced a new GPU instance called Graphics Design intended to accelerate graphics. The Read more…

Nvidia, Baidu Expand AI Partnership 

July 5, 2017

Today at its developer conference in Beijing, Baidu announced a broadening of its AI partnership with Nvidia, including plans to bring Nvidia’s recently annou Read more…

HPE Expands HPC Lineup; Targets Deep Learning, Lustre, and FS

April 4, 2016

Hewlett Packard Enterprise (HPE) for the second straight week introduced new server products with today’s launches aimed at high performance computing. The ce Read more…

Titan Helps Researchers Explore Explosive Star Scenarios

December 8, 2015

A team led by Michael Zingale of Stony Brook University is exploring the physics of Type Ia supernovas using the Titan supercomputer at the US Department of Ene Read more…

Think Fast: IBM Talks Acceleration in HPC and the Enterprise

November 16, 2015

At SC15 today, IBM provided a glimpse of its broadening vision for accelerator-assisted computing with announcements around Watson, a strategic alliance with FP Read more…

Benchmarking Effort Declares Tie Between Cloud and Native Hardware

February 3, 2011

A recent effort led by Cycle Computing based on the SHOC benchmark revealed equal performance between GPU-accelerated cloud and native hardware. Read more…

NVIDIA’s Senior Solution Architect, Dale Southard on GPU Clouds for HPC

December 8, 2010

This week we talked to Dale Southard of NVIDIA about the challenges and benefits of providing access to GPU resources in a cloud enviornment. We touch upon issues related to performance, CUDA, future directions, and Dale's own experiences in HPC and how they carried over to his work with GPU clouds. Read more…

MATLAB Adds GPGPU Support

September 20, 2010

MATLAB users with a taste for GPU computing now have a perfect reason to move up to the latest version. Release R2010b adds native GPGPU support that allows user to harness NVIDIA graphics processors for engineering and scientific computing. The new capability is provided within the Parallel Computing Toolbox and Distributed Computing Server. Read more…

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Whitepaper

Transforming Industrial and Automotive Manufacturing

In this era, expansion in digital infrastructure capacity is inevitable. Parallel to this, climate change consciousness is also rising, making sustainability a mandatory part of the organization’s functioning. As computing workloads such as AI and HPC continue to surge, so does the energy consumption, posing environmental woes. IT departments within organizations have a crucial role in combating this challenge. They can significantly drive sustainable practices by influencing newer technologies and process adoption that aid in mitigating the effects of climate change.

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How Direct Liquid Cooling Improves Data Center Energy Efficiency

Data centers are experiencing increasing power consumption, space constraints and cooling demands due to the unprecedented computing power required by today’s chips and servers. HVAC cooling systems consume approximately 40% of a data center’s electricity. These systems traditionally use air conditioning, air handling and fans to cool the data center facility and IT equipment, ultimately resulting in high energy consumption and high carbon emissions. Data centers are moving to direct liquid cooled (DLC) systems to improve cooling efficiency thus lowering their PUE, operating expenses (OPEX) and carbon footprint.

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