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Nvidia Tesla C2075
"Powerful GPU Computing Processor"
Overview
Based on the new NVIDIA CUDA™ GPU architecture code named “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 un compromised 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.
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Feeding HPCs 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. |
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. |
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Features
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| Features |
Benefits |
| 6GB 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. |
| 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. |
| 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 |
Specifications
| 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, Direct Compute Toolkits |
For further information on the NVIDIA Tesla C2075 GPU Computing Card, please contact our NVIDIA Tesla Sales Specialists via 'Live Chat', e-mail, telephone +44 (0) 800 180 4801 or alternatively please fill out the below enquiry form and we can happily send you information.
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