NVIDIA Tesla D870

Features	Benefits
Massively parallel many core architecture	128 processor cores that can execute thousands of concurrent threads to deliver unprecedented application performance
Widely accepted, easy to learn CUDA C parallel programming environment	Easily express application parallelism to take advantage of the GPU’s many core architecture
Deskside supercomputer with two GPUs with 256 processor cores	Power-efficient and quiet deskside unit that delivers the performance of two Tesla C870 GPUs
Use low power host interface card to connect the deskside to the host desktop	Connect the Tesla D870 deskside to an inexpensive desktop PC to get a supercomputer at your desktop
Scale to multiple GPUs and harness the performance of 1000s of processor cores	Get very high application performance by mapping the application to multiple GPUs
128 IEEE single precision floating point units per GPU	Achieve up to 350 GFLOPs of sustained performance (512 GFLOPs peak) per GPU
384-Bit Memory Interface from GPU to on-board memory	Fast GDDR3, 384-bit memory interface delivers 76.8 GB/sec memory bandwidth for blistering data transfer
1.5 GB of on-board memory with each GPU	Transfer data less often and perform larger computations on a larger working data set
High Speed, PCI Express Data Transfer	Computing applications benefit from the high data transfer rate possible through standard PCI-Express architecture
Parallel shared memory	Low latency memory shared by groups of processors to enable efficient collaboration among them
Tesla GPUs available in flexible form factor	Tesla add-in card, deskside, and 1U system enables deployment in a wide range of environments

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