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Latest news and newest trends in HPC.
Industry accolades on new technology and software.
Special pricing for Developers in APAC.
CUDA technology and Tesla solution discussed in the second half of the show.
Download Podcast (16.7MB)
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With the world’s first teraflop many-core processor, NVIDIA® Tesla™ computing solutions enable the necessary transition to energy efficient parallel computing power. With 240 cores per processor and a standard C compiler that simplifies application development, Tesla scales to solve the world’s most important computing challenges—more quickly and accurately.
The Computing System seamlessly fits into enterprise server clusters and scales to solve the most complex computing problems.
Tesla S1070 Computing System
Learn more about how the 8-Series NVIDIA Tesla high performance computing (HPC) products are arming scientists, engineers and other technical professionals with the power to solve previously unsolvable problems.
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For Pre-purchase Assistance and Questions, please click here. |
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Feeding the Relentless Demand for HPC Performance
With the massively parallel architecture of the GPU, scientists and engineers can get a quantum jump in performance and continue to advance the pace of their work, guiding us to faster discovery in drug research, weather modeling, oil and gas exploration, computational finance, and more.
Many-Core Architecture Delivers Optimum Scaling Across HPC Applications
Scientists and engineers have made the transition to ‘many core’ computing because their problems have reached a complexity that required them to look for new ways to boost their work. With parallel performance from 240 cores per processor, capable of concurrent execution of thousands of computing threads, these professionals can get accurate answers, faster.
High-Efficiency Computing Platform for Energy-Conscious Organizations
“High density computing” allows technical professionals and data center managers to deliver more performance without new demands on the electrical and thermal capabilities. This gives green-conscious organizations an excellent choice to achieve their desired level of computation without increasing energy costs.
NVIDIA CUDA Technology Unlocks the Power of Tesla’s Many Cores
The CUDA™ C programming environment simplifies many-core programming and enhances performance by offloading computationally-intensive activities from the CPU to the GPU. It enables developers to utilize NVIDIA GPUs to solve the most complex computation-intensive challenges such as protein docking, molecular dynamics, financial analysis, fluid dynamics, structural analysis and many others.
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