Based on the next-generation CUDA™ architecture codenamed “Fermi”, the Tesla™ M2050 and M2070 Computing Modules enable seamless integration of GPU computing with host systems for high-performance computing and large data center, scale-out deployments. Courtesy of NVIDIA

Santa Clara, CA, USA – August 04, 2011

NVIDIA announced today that its Tesla™ GPUs are being used by the largest investment bank entity, J.P. Morgan, to deliver a 40X increase in the end-to-end speed of its risk calculations, while reducing the cost of ownership.

Financial giant J.P. Morgan has integrated NVIDIA Tesla GPUs into its data centers to accelerate risk management computations. Using GPUs as companion processors accelerated their application performance 40-fold, enabling the bank to calculate risk in a matter of minutes rather than overnight. Courtesy of NVIDIA

As part of a three-year plan to reduce the computational costs of risk calculation by 75 percent, J.P. Morgan's Equity Derivatives Group added NVIDIA® Tesla M2070 GPUs to its datacenters.

The 20-series Tesla GPUs are the first to deliver greater than 10X the double precision horsepower of a quad-core x86 CPU and the first to deliver ECC memory. The Tesla M2050 and M2070 modules deliver all of the standard benefits of GPU computing while enabling maximum reliability and tight integration with system monitoring and management tools. This gives data center IT staff much greater choice in how they deploy GPUs, with a wide variety of rack-mount and blade systems and with remote monitoring and remote management capabilities they need. Compared to CPU-only systems, servers with Tesla 20-series GPU Computing Modules deliver supercomputing power at 1/10th the cost and 1/20th the power consumption while providing the highest compute density. Courtesy of NVIDIA

More than half the equity derivative-focused risk computations run by the bank have been moved from running on just CPU-based systems, to running on hybrid GPU/CPU-based systems.

NVIDIA Tesla Fermi Die Courtesy of NVIDIA

Utilizing GPUs as companion processors has accelerated application performance by 40X compared to running them on CPUs alone and delivered over 80 percent savings, enabling greener data centers that deliver higher performance for the same power.

NVIDIA Tesla M2050 Courtesy of NVIDIA

For J.P. Morgan, this is game-changing technology, enabling the bank to calculate risk across a range of products in a matter of minutes rather than overnight.

NVIDIA TESLA C2050 Courtesy of NVIDIA

Tesla GPUs give J.P. Morgan a significant market advantage.

NVIDIA Tesla S2050 Courtesy of NVIDIA

Even the longest-running exotics instruments can be calculated on an as-needed basis, faster than ever before, enabling more frequent runs and more complex scenario calculations.

NVIDIA Tesla Personal Supercomputer Courtesy of NVIDIA

NVIDIA Tesla GPUs are deployed in multiple data centers across the bank's global offices via its Compute Backbone infrastructure.

NVIDIA Tesla Supercomputers – Nebulae Courtesy of NVIDIA

With this technology, J.P. Morgan is able to seamlessly share the GPUs between tens of global applications.

This integration of GPUs into the shared global computational infrastructure has resulted in GPU utilization rates approaching 70 percent, 24 hours a day.

NVIDIA Tesla Supercomputers – Nebulae Courtesy of NVIDIA

Risk management is a huge and increasingly costly focus for the financial services industry.

A cornerstone of J.P. Morgan's cost-reduction plan to cut the cost of risk calculation involves accelerating its risk library using GPUs as companion processors and the integration of NVIDIA Tesla GPUs into its global grid computing infrastructure.

NVIDIA Tesla Supercomputers - Mole 8.5 Courtesy of NVIDIA

This change has not only reduced the total cost of ownership of J.P. Morgan's risk-management platform but it has also created a leap forward in the speed of risk calculations and the speed with which client requests can be serviced.


About NVIDIA


NVIDIA (NASDAQ: NVDA) awakened the world to the power of computer graphics when it invented the GPU in 1999.

Since then, it has consistently set new standards in visual computing with breathtaking, interactive graphics available on devices ranging from tablets and mobile phones to notebooks and workstations.

NVIDIA's expertise in programmable GPUs has led to breakthroughs in parallel processing which make supercomputing inexpensive and widely accessible.

NVIDIA’s Santa Clara headquarters. Courtesy of NVIDIA

The Company holds more than 1,900 issued patents worldwide, including ones covering designs and insights that are essential to modern computing.

For more information, see www.nvidia.com  


Source: NVIDIA Corporation

http://www.nvidia.com/object/newsroom.html  



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