HP QB035AA

NVIDIA TESLA C2075 COMPUTE CTLR F/ DEDICATED WORKSTATION

Overview
The NVIDIA Tesla™ C2075 makes supercomputing available to everyone. Based on the massively parallel CUDA architecture, it features many “must have” HPC capabilities including ECC memory for uncompromised accuracy and reliability, an L1/L2 cache for improved bandwidth and data sharing, larger dedicated compute memory, and support for C++. The Tesla C2075 delivers performance equivalent to a CPU-only system at 1/10th the cost and 1/20th the power consumption.

Features
⁍ 448 CUDA Cores Delivers up to 515 Gigaflops of double-precision peak performance in each GPU,enabling a single workstation to deliver a Teraflop or more of performance. Single precision peak performance is over a Teraflop per GPU.


⁍ ECC Memory meets a critical requirement for computing accuracy and reliability for workstations. Offers protection of data in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory,and DRAM all are ECC protected. (Enabling ECC will cause some of the memory to be used for the ECC bits so the user available memory will decrease to 5.25 GB for Tesla C2075.)


⁍ 6GB of GDDR5 Memory Double the memory of the Tesla C2050. Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU.