A GeForce GTX 280 with 4GB of memory is the foundation for the Tesla C1060 cards
And then:
Four of those C1060 cards in a 1U chassis make the Tesla S1070. PCIe connects the S1070 to the host server.
A GeForce GTX 280 with 4GB of memory is the foundation for the Tesla C1060 cards
And then:
Four of those C1060 cards in a 1U chassis make the Tesla S1070. PCIe connects the S1070 to the host server.
1U??? Holy Moley!
How long before it fits into a PDA?
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NVIDIA loves to cite examples of where algorithms ported to GPUs work so much better than CPUs. One such example is a seismic processing application that HESS found ran very well on NVIDIA GPUs. It migrated a cluster of 2000 servers to 32 Tesla S1070s, bringing total costs down from $8M to $400K, and total power from 1200kW down to 45kW.
NVIDIA® Tesla™ C1060 Computing Processor enables the transition to energy efficient parallel computing power by bringing the performance of a small cluster to a workstation.