NVIDIA TESLA Tesla C2075 900-21030-0020-100 6GB 384-bit GDDR5 PCI Express 2.0 x16 Workstation Video Card

Total Offers: 3

Prices: $499.99 - $625.00

NVIDIA TESLA Tesla C2075 900-21030-0020-100 6GB 384-bit GDDR5 PCI Express 2.0 x16 Workstation Video Card Chipset Manufacturer: NVIDIA CUDA Cores: 448 DVI: 1 Digital Resolution: 1600x1200 Cooler: With Fan Dual-Link DVI Supported: Yes Operating Systems Supported: Windows, Linux


GTIN/UPC: 0857905002130

Model
Brand:
NVIDIA
Series:
TESLA
Model:
900-21030-0020-100
Interface
Interface:
PCI Express 2.0 x16
Chipset
Chipset Manufacturer:
NVIDIA
GPU:
Tesla C2075
CUDA Cores:
448
Memory
Memory Size:
6GB
Memory Interface:
384-bit
Memory Type:
GDDR5
Ports
DVI:
1
Details
Digital Resolution:
1600x1200
Cooler:
With Fan
Dual-Link DVI Supported:
Yes
Operating Systems Supported:
Windows, Linux
Features
Features:
Tesla C2075 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.|+||+|Maximizes performance and reduces data transfers by keeping larger data sets in local memory that is attached directly to the GPU.|+||+|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.|+||+|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.|+||+|Maximizes the throughput by faster context switching that is 10X faster than previous architecture, concurrent kernel execution, and improved thread block scheduling.|+||+|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|+||+|Choose C, C++, OpenCL, DirectCompute, or Fortran to express application parallelism and take advantage of the "Fermi" GPU's innovative architecture. NVIDIA Parallel Nsight GPU debugging tool is available for Microsoft Visual Studio developers.|+||+|Maximizes bandwidth between the host system and the Tesla processors. Enables Tesla products to work with virtually any PCIe-compliant host system with an open PCIe x16 slot.

NVIDIA TESLA Tesla C2075 900-21030-0020-100 6GB 384-bit GDDR5 PCI Express 2.0 x16 Workstation Video Card Chipset Manufacturer: NVIDIA CUDA Cores: 448 DVI: 1 Digital Resolution: 1600x1200 Cooler: With Fan Dual-Link DVI Supported: Yes Operating Systems Supported: Windows, Linux