The Tesla C2075 6 GB GDDR5 PCIe Computing Processor from nVIDIA is built for GPU computing and delivers extreme co-processing power to accelerate parallel-computing tasks. It is based on the next generation nVIDIA CUDA GPU architecture code named "Fermi." The GPU computing processor transforms standard PCs and workstations into personal supercomputers. It provides ECC memory for uncompromised accuracy and scalability.
The C2075 features a dual-link DVI-I display connector, enabling a maximum display resolution of 1600 x 1200. This companion processor delivers parallel processing power right at your desk.
448 CUDA Cores
The processor 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.
ECC (Error- correcting code) Memory
The processor meets a critical requirement for computing accuracy and reliability for workstations. It offers data protection in memory to enhance data integrity and reliability for applications. Register files, L1/L2 caches, shared memory and DRAM are protected.
Up to 6 GB of GDDR5 Memory per GPU
It maximizes performance while reducing data transfers by keeping larger data sets in local memory attached directly to the GPU.
nVIDIA Parallel DataCache
It accelerates algorithms like physics solvers, ray tracing, and sparse matrix multiplication where data addresses are unknown. This includes a configurable L1 cache per Streaming Multiprocessor block and a unified L2 cache for all processor cores.
nVIDIA GigaThread Engine
It maximizes the throughput by quicker context switching, concurrent kernel execution and improved thread block scheduling, which is 10 times faster than the previous architecture.
Dual Copy Engine enables True Asynchronous Data Transfer
Tesla C2075 turbocharges system performances by transferring data over the PCIe bus while the computing cores are processing other data. Even applications with heavy data transfer requirements, like seismic processing, can maximize computing efficiency by transferring data to local memory before it is required.
CUDA Programming Environment with Broad Programming Language / API Support
You can choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and fully utilize the "Fermi" GPU's innovative architecture. Moreover, nVIDIA Parallel Nsight GPU tool is available for Microsoft Visual Studio developers.
High-Speed PCIe Gen 2.0 Data Transfer
It maximizes the bandwidth between the host system and Tesla processors. Furthermore, it enables Tesla products to work with virtually any PCIe compliant host system with an open PCIe x16 slot.
Supported OS
The processor is compatible with Windows XP, Vista, Windows 7 (32/ 64-bit) and Linux (32/64-bit).
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