Tarjetas gráficas para procesado paralelo.
The NVIDIA Tesla™ C2050 and C2070 Computing Processors fuel the transition to parallel computing and bring the performance of a small cluster to the desktop. Based on the next-generation CUDA architecture codenamed “Fermi”, the 20-series family of Tesla GPUs support many “must have” features for technical and enterprise computing including C++ support, ECC memory for uncompromised accuracy and scalability, and a 7X increase in double precision performance compared Tesla 10-series GPUs. The Tesla™ C2050 and C2070 GPUs are designed to redefine high performance computing and make supercomputing available to everyone.
Compared to the latest quad-core CPUs, Tesla C2050 and C2070 Computing Processors deliver equivalent supercomputing performance at 1/10th the cost and 1/20th the power consumption.
GPUs powered by the Fermi-generation of the CUDA architecture |
Delivers cluster performance at 1/10th the cost and 1/20th the power of CPU-only systems based on the latest quad core CPUs. |
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. |
Desktop Cluster Performance |
Solves large-scale problems faster than a small server cluster on a single workstation with multiple GPUs. |
Up to 6GB of GDDR5 memory per GPU |
Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU. |
NVIDIA Parallel DataCache™ |
Accelerates algorithms such as physics solvers, ray-tracing, and sparse matrix multiplication where data addresses are not known beforehand. This includes a configurable L1 cache per Streaming Multiprocessor block and a unified L2 cache for all of the processor cores. |
NVIDIA GigaThread™ Engine |
Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling. |
Asynchronous Transfer |
Turbocharges system performance by transferring data over the PCIe bus while the computing cores are crunching other data. Even applications with heavy data-transfer requirements, such as seismic processing, can maximize the computing efficiency by transferring data to local memory before it is needed. |
CUDA programming environment with broad support of programming languages and APIs |
Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and take advantage of the “Fermi” GPU’s innovative architecture. NVIDIA Parallel Nsight™ tool is available for Microsoft Visual Studio developers. |
High Speed , PCIe Gen 2.0 Data Transfer |
Maximizes bandwidth between the host system and the Tesla processors. Enables Tesla systems to work with virtually any PCIe-compliant host system with an open PCIe x16 slot. |
PNY TCSC2050-PB 1.888,73 € en [1pc.es]