[PR] NVIDIA Tesla GPUs used by J.P. Morgan Run Risk Calculations in Minutes, Not Hours

Global Leader in Financial Services Uses GPUs to Increase Speed of Risk Computations While Reducing Cost

SINGAPORE — August 5, 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.

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 data centres. 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. Utilising 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 centres that deliver higher performance for the same power.

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. Tesla GPUs give J.P. Morgan a significant market advantage. 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 GPUs are deployed in multiple data centres across the bank’s global offices via its Compute Backbone infrastructure. 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.

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. 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.

J.P. Morgan recently received an award for Innovation in Risk Computation for its work with GPUs – for
more information on this, please go here. For more information on NVIDIA Tesla GPUs for high
performance computing, please go here.