The Tesla GPU is NVIDIA's third brand of GPUs. It's based on high-end GPUs from the G80 and on, as well as the Quadro lineup. Tesla is NVIDIA's first dedicated General Purpose GPU. In this post I'm going to explain more about NVIDIA Tesla C1060 GPU Computing Processor.
The NVIDIA Tesla C1060 transforms a workstation into a high-performance computer that can dramatically outperform a small cluster. This gives technical professionals a dedicated computing resource at their desk-side that is much faster and more energy-efficient than a shared cluster in the data center.
The Tesla C1060 is based on the massively parallel, many-core Tesla processor, which is coupled with the standard CUDA C programming environment to simplify many-core programming. The Tesla C1060 allows you to keep pace with the increasing demands of the toughest computing challenges including drug research, oil and gas exploration, and computational finance and its many-core architecture meets the computational demands of applications whose complexity has outstripped the CPUs ability to solve them.
This NVIDIA HPC Computing Processor uses the only C language environment that unlocks the many-core processing power of GPUs to solve the worlds most computationally-intensive challenges. Capable of 933 GFLOPs/s of processing performance puts it near the performance of small supercomputers and 4 GB of GDDR3 memory onboard gives you a total bandwidth of 102 GB/s.
The NVIDIA Tesla C1060 transforms a workstation into a high-performance computer that can dramatically outperform a small cluster. This gives technical professionals a dedicated computing resource at their desk-side that is much faster and more energy-efficient than a shared cluster in the data center.
The Tesla C1060 is based on the massively parallel, many-core Tesla processor, which is coupled with the standard CUDA C programming environment to simplify many-core programming. The Tesla C1060 allows you to keep pace with the increasing demands of the toughest computing challenges including drug research, oil and gas exploration, and computational finance and its many-core architecture meets the computational demands of applications whose complexity has outstripped the CPUs ability to solve them.
This NVIDIA HPC Computing Processor uses the only C language environment that unlocks the many-core processing power of GPUs to solve the worlds most computationally-intensive challenges. Capable of 933 GFLOPs/s of processing performance puts it near the performance of small supercomputers and 4 GB of GDDR3 memory onboard gives you a total bandwidth of 102 GB/s.
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