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PNY nVidia GeForce 8400GS 512MB DDR2 VGA/DVI PCI Video Card
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Mã SP: VCG84512SPPB
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PNY nVidia GeForce 8400GS 512MB DDR2 VGA/DVI PCI Video Card
PNY NVIDIA GeForce 8400 GS 1GB GDDR3 VGA/DVI/HDMI PCI-Express Video Card
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Mã SP: VCG841024D3SXPB
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PNY NVIDIA GeForce 8400 GS 1GB GDDR3 VGA/DVI/HDMI PCI-Express Video Card
PNY NVIDIA Quadro FX1800 768MB GDDR3 DVI/2DisplayPort PCI-Express Video Card
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Mã SP: VCQFX1800-PCIE-PB
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PNY NVIDIA Quadro FX1800 768MB GDDR3 DVI/2DisplayPort PCI-Express Video Card
PNY NVIDIA GeForce GTX 550 Ti OC 1GB GDDR5 2DVI/Mini HDMI PCI-Express Video Card
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Mã SP: VCGGTX550TXPB-OC
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PNY NVIDIA GeForce GTX 550 Ti OC 1GB GDDR5 2DVI/Mini HDMI PCI-Express Video Card
PNY NVIDIA GeForce GT 210 1GB GDDR3 VGA/DVI/HDMI PCI-Express Video Card
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Mã SP: VCG2101D3XPB
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PNY NVIDIA GeForce GT 210 1GB GDDR3 VGA/DVI/HDMI PCI-Express Video Card
PNY NVIDIA GeForce GT 430 1GB GDDR3 VGA/DVI/HDMI Low Profile PCI-Express Video Card
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Mã SP: VCGGT4301XPB
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PNY NVIDIA GeForce GT 430 1GB GDDR3 VGA/DVI/HDMI Low Profile PCI-Express Video Card
PNY NVIDIA GeForce GT 520 1GB GDDR3 VGA/DVI/HDMI PCI-Express Video Card
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Mã SP: VCGGT5201XPB
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PNY NVIDIA GeForce GT 520 1GB GDDR3 VGA/DVI/HDMI PCI-Express Video Card
PNY NVIDIA GeForce GTX 680 2GB GDDR5 2DVI/HDMI/DisplayPort PCI-Express Video Card
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Mã SP: VCGGTX680XPB
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PNY NVIDIA GeForce GTX 680 2GB GDDR5 2DVI/HDMI/DisplayPort PCI-Express Video Card
PNY nVidia GeForce GTX550 Ti 1GB DDR5 2DVI/Mini HDMI PCI-Express Video Card
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Mã SP: VCGGTX550TXPB
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PNY nVidia GeForce GTX550 Ti 1GB DDR5 2DVI/Mini HDMI PCI-Express Video Card
PNY nVidia GeForce GTX580 1536MB DDR5 2DVI/Mini HDMI PCI-Express Video Card
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Mã SP: VCGGTX580XPB
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PNY nVidia GeForce GTX580 1536MB DDR5 2DVI/Mini HDMI PCI-Express Video Card
PNY Quadro NVS 450 512MB DDR3 4Head PCI-Express Video Card
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Mã SP: VCQ450NVS-X16-PB
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PNY Quadro NVS 450 512MB DDR3 4Head PCI-Express Video Card
PNY Quadro 400 512MB DDR3 DVI/DisplayPort Low Profile PCI-Express Video Card
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Mã SP: VCQ400-PB
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PNY Quadro 400 512MB DDR3 DVI/DisplayPort Low Profile PCI-Express Video Card
NVIDIA® Tesla™ C2070
Giá: Call
Mã SP: C2070
Tính năng:
Overview
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.
Specifications
Form Factor | 9.75" PCIe x16 form factor |
# of Tesla GPUs | 1 |
# of CUDA Core | 448 |
Frequency of CUDA Cores | 1.15 GHz |
Double Precision floating point performance (peak) | 515 Gflops |
Single Precision floating point performance (peak) | 1.03 Tflops |
Total Dedicated Memory*
Tesla C2070
|
6GB GDDR5 |
Memory Speed | 1.5 GHz |
Memory Interface | 384-bit |
Memory Bandwidth | 144 GB/sec |
Power Consumption | 247W TDP |
System Interface | PCIe x16 Gen2 |
Thermal Solution | Active Fansink |
Software Development Tools | CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio |
Features
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. |
Drivers & Downloads
-
Tesla C2050 / C2070 is supported under
- Linux 32-bit and 64-bit
- Windows XP, Windows Vista, Windows 7 (32-bit and 64-bit)
- Vertical Solutions and Software
- Software for Tesla C2050 / C2070
Support
Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the OEM or distributor that you purchased it from.
To see data center solutions that have been tested for compatibility with the Tesla products, clickhere
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums.Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the reseller that you purchased it from.
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums.
Pre-Purchasing Support
Pre-purchasing support is available to assist you in deciding which Tesla unit to purchase for your application.
NVIDIA® Tesla™ C2070
NVIDIA® Tesla™ C2050
Giá: Call
Mã SP: C2050
Tính năng:
Overview
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.
Specifications
Form Factor | 9.75" PCIe x16 form factor |
# of Tesla GPUs | 1 |
# of CUDA Core | 448 |
Frequency of CUDA Cores | 1.15 GHz |
Double Precision floating point performance (peak) | 515 Gflops |
Single Precision floating point performance (peak) | 1.03 Tflops |
Total Dedicated Memory*
Tesla C2050
|
3GB GDDR5 |
Memory Speed | 1.5 GHz |
Memory Interface | 384-bit |
Memory Bandwidth | 144 GB/sec |
Power Consumption | 247W TDP |
System Interface | PCIe x16 Gen2 |
Thermal Solution | Active Fansink |
Software Development Tools | CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio |
Features
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. |
Drivers & Downloads
-
Tesla C2050 / C2070 is supported under
- Linux 32-bit and 64-bit
- Windows XP, Windows Vista, Windows 7 (32-bit and 64-bit)
- Vertical Solutions and Software
- Software for Tesla C2050 / C2070
Support
Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the OEM or distributor that you purchased it from.
To see data center solutions that have been tested for compatibility with the Tesla products, clickhere
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums.Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the reseller that you purchased it from.
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums.
Pre-Purchasing Support
Pre-purchasing support is available to assist you in deciding which Tesla unit to purchase for your application.
NVIDIA® Tesla™ C2050
NVIDIA® Tesla™ M2070
Giá: Call
Mã SP: M2070
Tính năng:
Overview
Based on the next-generation CUDA™ architecture codenamed “Fermi”, the Tesla M2050 and M2070 Computing Modules enable seamless integration of GPU computing with host systems for high-performance computing and large data center, scale-out deployments. The 20-series Tesla GPUs are the first to deliver greater than 10X the double-precision horsepower of a quad-core x86 CPU and the first to deliver ECC memory. The Tesla M2050 and M2070 modules deliver all of the standard benefits of GPU computing while enabling maximum reliability and tight integration with system monitoring and management tools. This gives data center IT staff much greater choice in how they deploy GPUs, with a wide variety of rack-mount and blade systems and with the remote monitoring and remote management capabilities they need.
Specifications
Form Factor | 9.75" PCIe x16 form factor |
# of Tesla GPUs | 1 |
Double Precision floating point performance (peak) | 515 Gflops |
Single Precision floating point performance (peak) | 1.03 Tflops |
Total Dedicated Memory*
Tesla M2070
|
6GB GDDR5 |
Memory Speed | 1.55 GHz |
Memory Interface | 384-bit |
Memory Bandwidth | 148 GB/sec |
Power Consumption | 225W TDP |
System Interface | PCIe x16 Gen2 |
Thermal Solution | Passive heatsink cooled by host system airflow |
Software Development Tools |
CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio |
Features
GPUs powered by Fermi-generation 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 servers from leading OEMs to deliver a Teraflop or more of double-precision performance per 1 RU of space. Single precision peak performance is over one Teraflop per GPU. |
ECC Memory | Meets a critical requirement for computing accuracy and reliability for datacenters and supercomputing centers. 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. |
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. |
System Monitoring Features | Integrates the GPU subsystem with the host system's monitoring and management capabilities. This means IT staff can manage all of the critical components of the computing system through a common management interface such as IPMI or OEM-proprietary tools. |
Designed for Maximum Reliability | Passive heatsink design eliminates moving parts and cables. |
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 innovative “Fermi” architecture. |
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 slot (x8 or x16). |
Drivers & Downloads
-
Tesla M2050/M2070 is supported under
- Linux 32-bit and 64-bit
- Windows Server 2003 and 2008
- Vertical Solutions and Software page
-
Software
- Drivers -- NVIDIA recommends that users get drivers for M-series products from their System OEM to ensure that driver is qualified by the OEM on their system.
- Tools -- Software development tools are available athttp://www.nvidia.com/object/tesla_software.html
Support
Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the OEM that you purchased it from.
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums
NVIDIA® Tesla™ M2070
NVIDIA® Tesla™ M2050
Giá: Call
Mã SP: M2050
Tính năng:
Overview
Based on the next-generation CUDA™ architecture codenamed “Fermi”, the Tesla M2050 and M2070 Computing Modules enable seamless integration of GPU computing with host systems for high-performance computing and large data center, scale-out deployments. The 20-series Tesla GPUs are the first to deliver greater than 10X the double-precision horsepower of a quad-core x86 CPU and the first to deliver ECC memory. The Tesla M2050 and M2070 modules deliver all of the standard benefits of GPU computing while enabling maximum reliability and tight integration with system monitoring and management tools. This gives data center IT staff much greater choice in how they deploy GPUs, with a wide variety of rack-mount and blade systems and with the remote monitoring and remote management capabilities they need.
Specifications
Form Factor | 9.75" PCIe x16 form factor |
# of Tesla GPUs | 1 |
Double Precision floating point performance (peak) | 515 Gflops |
Single Precision floating point performance (peak) | 1.03 Tflops |
Total Dedicated Memory*
Tesla M2050
|
3GB GDDR5 |
Memory Speed | 1.55 GHz |
Memory Interface | 384-bit |
Memory Bandwidth | 148 GB/sec |
Power Consumption | 225W TDP |
System Interface | PCIe x16 Gen2 |
Thermal Solution | Passive heatsink cooled by host system airflow |
Software Development Tools |
CUDA C/C++/Fortran, OpenCL, DirectCompute Toolkits. NVIDIA Parallel Nsight™ for Visual Studio |
Features
GPUs powered by Fermi-generation 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 servers from leading OEMs to deliver a Teraflop or more of double-precision performance per 1 RU of space. Single precision peak performance is over one Teraflop per GPU. |
ECC Memory | Meets a critical requirement for computing accuracy and reliability for datacenters and supercomputing centers. 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. |
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. |
System Monitoring Features | Integrates the GPU subsystem with the host system's monitoring and management capabilities. This means IT staff can manage all of the critical components of the computing system through a common management interface such as IPMI or OEM-proprietary tools. |
Designed for Maximum Reliability | Passive heatsink design eliminates moving parts and cables. |
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 innovative “Fermi” architecture. |
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 slot (x8 or x16). |
Drivers & Downloads
-
Tesla M2050/M2070 is supported under
- Linux 32-bit and 64-bit
- Windows Server 2003 and 2008
- Vertical Solutions and Software page
-
Software
- Drivers -- NVIDIA recommends that users get drivers for M-series products from their System OEM to ensure that driver is qualified by the OEM on their system.
- Tools -- Software development tools are available athttp://www.nvidia.com/object/tesla_software.html
Support
Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the OEM that you purchased it from.
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums
NVIDIA® Tesla™ M2050
NVIDIA® Tesla™ M1060
Giá: Call
Mã SP: M1060
Tính năng:
>> Overview
The World’s Fastest 1U Server! Click here to learn more. Video
An integral part of the world’s fastest 1U computing servers engineered to meet the requirements of enterprise-class data centers, Tesla M1060 processors deliver supercomputing performance while requiring less power and space. Featuring the revolutionary NVIDIA® CUDA™ parallel computing architecture and powered by 240 parallel processing cores, the Tesla M1060 shatters your performance per watt expectations to help you solve the toughest computing problems faster.
The Performance to Solve the Toughest Computing Problems Faster Uses the NVIDIA® CUDA™ parallel computing architecture to deliver nearly a teraflop of peak performance. Cut your Energy Bill without Sacrificing Performance 8x the performance per watt for 1RU servers with Tesla processors relative to 1RU x86 Servers without Tesla processors*. |
Engineered for Enterprise-Class Data Center Requirements Passive heatsink design enables redundancy from multiple system fans and system integration extends the host system’s monitoring capabilities to include the Tesla processor. Also, fewer external cables simplify data center installation and operation. |
Available Integrated into Compute Servers from Leading OEMs Leading OEMs have engineered compute servers around this new processor and are only available through these OEMs. |
>> Specifications
Form Factor |
Embedded Module |
# of Tesla GPUs |
1 |
# of Streaming Processor Cores |
240 |
Frequency of processor cores |
1.3 GHz |
Single Precision floating point performance (peak) |
933 |
Double Precision floating point performance (peak) |
78 |
Floating Point Precision |
IEEE 754 single & double |
Total Dedicated Memory |
4 GB GDDR3 |
Memory Speed |
800 MHz |
Memory Interface |
512-bit |
Memory Bandwidth |
102 GB/sec |
System Interface |
PCIe. See OEM system specification for implementation details. |
Thermal Solution |
Passive heatsink with airflow managed by host sytem. See OEM system specification for implementation details. |
Software Development Tools |
>> Drivers & Downloads
-
Tesla M1060 is supported under:
- Linux 64-bit and 32-bit
- Windows support schedule is TBD.
- Software for Tesla M1060
- Vertical Solutions and Software
>> Support
Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the OEM or distributor that you purchased it from.
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forum
NVIDIA® Tesla™ M1060
NVIDIA® Tesla™ C1060
Giá: Call
Mã SP: C1060
Tính năng:
Overview
The NVIDIA® Tesla™ C1060 transforms a workstation into a high-performance computer that outperforms a small cluster. This gives technical professionals a dedicated computing resource at their desk-side that is much faster and more energy-efficient than a shared cluster in the data center. The Tesla C1060 is based on the massively parallel, many-core Tesla processor, which is coupled with the standard CUDA C programming environment to simplify many-core programming.
Find out more about Tesla Personal Supercomputer desktop systems with 3 to 4 Tesla C1060s. You can also find out how to build your own Tesla PSC .
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 GPUs to solve the world’s most computationally-intensive challenges. |
To download the C1060 DataSheet PDF - please click here.
>> Specifications
Form Factor |
10.5" x 4.376", Dual Slot |
# of Tesla GPUs |
1 |
# of Streaming Processor Cores |
240 |
Frequency of processor cores |
1.3 GHz |
Single Precision floating point performance (peak) |
933 |
Double Precision floating point performance (peak) |
78 |
Floating Point Precision |
IEEE 754 single & double |
Total Dedicated Memory |
4 GB GDDR3 |
Memory Speed |
800MHz |
Memory Interface |
512-bit |
Memory Bandwidth |
102 GB/sec |
Max Power Consumption |
187.8 W |
System Interface |
PCIe x16 |
Auxiliary Power Connectors |
6-pin & 8-pin |
Thermal Solution |
Active fan sink |
Software Development Tools |
>> Drivers & Downloads
- Tesla C1060 Product Literature
-
Tesla C1060 is supported under
- Linux 32-bit and 64-bit
- Windows XP 32-bit and 64-bit
- Windows Vista 32-bit and 64-bit
- Windows Server 2003 and 2008
- Hardware systems that C1060 works in
- Software for Tesla C1060
- Vertical Solutions and Software
>> Supports
Pre-Purchasing Support
Pre-purchasing support is available to assist you in deciding which Tesla unit to purchase for your application.
Hardware pre-requisites for using Tesla C1060
- Workstation with PCI-Express x16 slot (Gen2 recommended for best performance)
- Power supply that either has two 6-pins or one 8-pin and can supply 200W to Tesla C1060
- For full list of system requirements, please see the Tesla C1060 Installation Guide
Systems with Tesla C1060
- Tesla C1060 is available as a standalone board or as an integrated board in these systems
- Tesla Personal Supercomputer desktop systems with 3 to 4 Tesla C1060s are also available
- You can also find out how to build your own Tesla PSC
Product Literature
Hardware Support
For RMA requests, replacements and warranty issues regarding your NVIDIA based product, please contact the system integrator that you purchased it from
Knowledgebase
Our knowledgebase is available online 24x7x365 and contains answers to the most common questions and issues.
User Forums
Discuss Tesla products, talk about CUDA development, and share interesting issues, tips and solutions with your fellow NVIDIA Tesla users on the CUDA discussion forums.