Tesla K10 GPU
21 May 2012
Nvidia accelerator speeds up oil and gas search
A round-up of the latest cooling technologies for scientists using HPC to support their research.
Nvidia
Cuda 4.1
30 January 2012
Nvidia has released a new version of its Cuda parallel computing platform, which the company states will make it easier for researchers and engineers to advance their simulations and computational work by using GPUs
Tesla M2090
7 June 2011
Nvidia has unveiled the Tesla M2090 GPU parallel processor for high-performance computing
Nvidia Quadro 6000
28 October 2010
NextComputing has announced the immediate availability of the Nvidia Quadro 6000 by PNY professional graphics solution
Amber 11
11 May 2010
Amber 11 is a software tool that enables bio-scientists to harness the power of supercomputing on their desktop PC. It is optimised to run on Nvidia GPUs, which speed up the tool by up to 100-fold over a traditional CPU-based server
Tesla Bio Workbench
22 January 2010
Nvidia has launched Tesla Bio Workbench, which helps scientists involved in biological research by turning a standard PC into a 'computational laboratory'
Tesla 20 series
14 December 2009
Nvidia has unveiled its Tesla 20-series of parallel processors for the HPC market, based on its new generation Cuda processor architecture, codenamed Fermi
RealityServer platform
10 November 2009
Nvidia has introduced the RealityServer platform for cloud computing, a combination of GPUs and software that streams interactive, photorealistic 3D applications to any web-connected PC, laptop, netbook and smart phone
Tesla Personal Supercomputer
25 November 2008
Nvidia has launched the GPU-based Tesla Personal Supercomputer, which delivers the equivalent computing power of a cluster, at a fraction of the price, and in a form factor of a standard desktop workstation
Nvidia Quadro Plex Visual Computing Systems
20 August 2008
Nvidia has released the D Series of Nvidia Quadro Plex Visual Computing Systems (VCS) available in deskside or rackmount configurations.
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With the proliferation of artificial intelligence (AI) and machine learning (ML), the high-performance computing industry’s increasing workloads are contributing to environmental damage
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Autonomous vehicles could help to prevent road accidents and save billions in damages across the world each year.
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The pursuit of exascale HPC systems has been a target of the HPC community since the first petaflop system broke into the Top500 in the June 2008 edition of the biannual list of the fastest supercomputers based on the Linpack
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Simulation software is helping accelerate battery development, writes Gemma Church
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Developing skills to use advanced computing resources such as high-performance computing (HPC), artificial intelligence (AI) and machine learning (ML), and quantum computing is becoming an increasingly important skill set for
