NVIDIA have pushed the envelope for more advanced forms of computational processing, having announced their new "Tesla" range of supercomputing graphics processors this week.
Some of you may have already heard in recent times that the prospect of using GPUs to deal with general computing tasks was a strong one, given that there are supposedly many advantages to come from using GPUs over regular CPUs for things other than just graphics.
NVIDIA obviously saw all the benefits and are quick to introduce this new range of GPU computing products. AMD/ATI were however first to announce they were going down the same path late last year, working on the Fusion project.
NVIDIA's new Tesla family is a top to bottom product lineup comprising internal GeForce 8 series PCIe cards (minus outputs) banked together inside a case for external high-performance computing. The models consist of the Tesla C870, S870 and D870.
For the full rundown on how they work, you can check out the official announcement from NVIDIA over at their press room; And there's also some coverage around the web as per the below links :-
SANTA CLARA, CA-JUNE 20, 2007-High-performance computing in fields like the geosciences, molecular biology, and medical diagnostics enable discoveries that transform billions of lives every day. Universities, research institutions, and companies in these and other fields face a daunting challenge: as their simulation models become exponentially complex, so does their need for vast computational resources.
NVIDIA took a giant step in meeting this challenge with today's announcement of a new class of processors based on a revolutionary new graphics processing unit (GPU). Under the NVIDIA® Tesla brand, NVIDIA will offer a family of GPU computing products that will place the power previously available only from supercomputers in the hands of every scientist and engineer. Today's workstations will be transformed into "personal supercomputers."
Last updated: Dec 4, 2019 at 01:47 pm CST
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