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Nvidia Tesla C2070

NVIDIA Tesla C2050 & C2070

NVIDIA Tesla C2075 6GB GPU Computing Card

Based on the new NVIDIA CUDA™ GPU architecture codenamed “Fermi”, the Tesla™ C2075 computing processor has been engineered from the ground up for high performance computing. It supports “must have” features for technical and enterprise computing including C++ support, ECC memory for uncompromised accuracy and scalability, and 8X the double precision performance compared Tesla 10-series GPU computing products. Compared to the latest quad-core CPUs, Tesla 20-series GPU computing processors deliver equivalent performance at 1/20th the power consumption and 1/10th the cost.

Feeding the HPC Industry’s Relentless Demand for Performance.
Keeps pace with the increasing demands of the toughest computing challenges including drug research, oil and gas exploration, and computational finance.

Many-core Architecture Delivers Optimum Scaling across HPC Applications.
Tesla many-core architecture meets the computational demands of applications whose complexity has outstripped the CPU’s ability to solve them.

High Efficiency Computing Platform for Energy-conscious Organizations.
Higher performance and density computing for solving complex problems with fewer resources and power.

NVIDIA CUDA™ Technology Unlocks the Power of Tesla Many-core Computing Products.
The only C language environment that unlocks the many-core processing power of GPU's to solve the world’s most computationally-intensive challenges.


Features Benefits
Massively-Parallel Many Core Architecture with 448 processor cores Solve compute problems on your workstation that traditionally required a large cluster installation
6 GB High-Speed Memory Enables larger datasets to be stored locally for each processor to maximize benefit from the ultra high GB/s memory transfer speeds and minimize data movement around the system. Now with Full ECC Support.
Widely accepted, easy to learn CUDA C programming environment Easily express application parallelism to take advantage of the GPU’s many core architecture
Scale to multiple GPU's and harness the performance of thousands of processor cores Solve large-scale problems by scaling to thousands of cores across multiple GPU's
IEEE 754 single & double precision floating point units Achieve the highest floating point performance from a single chip, while meeting the precision requirements of your application. Peak 515GFlops DP.
Asynchronous transfer capability Turbo charges system performance because data transfers can be executed concurrently with computation
NVIDIA® GigaThread™ Engine Maximizes throughput with faster context switching, concurrent kernel execution, and improved thread block scheduling.
Shared Data Memory Groups of processor cores can collaborate using low latency memory
High Speed, PCI-Express Gen 2.0 Data Transfer Fast and high-bandwidth communication between CPU and GPU
Tesla GPU's available in flexible form factor Tesla workstation products and 1U systems enable deployment in a wide range of environments


Form Factor 9.75" x 4.376", Dual Slot
# of Tesla GPU's 1
# of Streaming Processor Cores 448
Floating Point Precision IEEE 754 single & double
Total Dedicated Memory 6GB
Max Power Consumption 190 W
System Interface PCIe x16
Auxiliary Power Connectors 6-pin & 8-pin
Thermal Solution Active fan sink
Software Development Tools CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits

For further information on NVIDIA's range of Tesla GPU Computing Systems please contact us via 'Live Chat', e-mail or telephone +44 (0) 800 180 4801.


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