The 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. With 240 processor cores 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 NVIDIA Tesla C1060 closes the gap between the demands placed by application performance and performance delivered by the computing processor. 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. 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, capable of concurrent execution of thousands of computing threads, these professionals can get accurate answers, faster. The number of processor cores has replaced MHz as the new metric for performance.

4GB Global memory

Shared data memory

Asynchronous transfer capability

High speed, PCI-Express Gen 2.0 data transfer

Tesla processors available in flexible form factor

IEEE 754 single and double precision floating point units

Massively parallel many core architecture with 240 processor cores

Widely accepted, Easy to learn CUDA C programming environment

Scale to multiple GPUS and harness the performance of thousands of processor cores