Tesla C1060 GPU

Nvidia Tesla C1060 GPU

The NVIDIA Tesla C1060 transforms a workstation into a high-performance computer.  Tesla GPU's can dramatically outperform a small cluster at a fraction of the cost. Technical professionals get a dedicated workstation computer that is considerably faster, lower in cost, and more energy-efficient than a shared data-center cluster.

• Based on the massively parallel Tesla GPU with 240 processing cores
  
  
• Peak performance of 933 GFLOP / sec.  (almost 1 trillion floating point operations per second)
  
  
• 4 GB high-speed RAM
  
  
• High-speed PCI Express 2.0 bandwidth of 102 GB / sec.

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.

Features	Benefits
Massively-Parallel Many Core Architecture with 240 processor cores	Solve compute problems on your workstation that traditionally required a large cluster installation
4 GB High-Speed Memory	Enables larger datasets to be stored locally for each processor to maximize benefit from the 102GB/s memory transfer speeds and minimize data movement around the system.
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 GPUs and harness the performance of thousands of processor cores	Solve large-scale problems by scaling to thousands of cores across multiple GPUs
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
Asynchronous transfer capability	Turbo charges system performance because data transfers can be executed concurrently with computation
512-bit memory interface from GPU to on-board memory	Fast GDDR3, 512-bit memory interface delivers 102 GB/sec memory bandwidth for blistering data transfer
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 GPUs available in flexible form factor	Tesla workstation products and 1U systems enable deployment in a wide range of environments

Specifications
Chipset	Nvidia Tesla
GPU Series	Nvidia Tesla
GPU/VPU	Nvidia Tesla C1060
Video Memory	4 GB
Memory Type	GDDR3 SDRAM
Memory Interface	512-bit
Processor Cores	240 CUDA Cores
Core Clock	1296 Mhz
Graphics Clock	800 Mhz
Memory Bandwidth	102.0 GB/sec.
Peak Performance	933 GFLOP / sec
Interface	PCI Express 2.0
Interface Speed	x16
Overclocked	No
API's	CUDA, DirectX 10
Low Profile	No
Cooling Type	Fan
Programming Environment	CUDA, C, C++, OpenCL, Fortran

Please Note: This board is NOT a video card. It has no display outputs for connecting a monitor. It is a processor that offloads computations from the computer’s CPU. Also note that for operation under Windows XP, this board requires a NVIDIA graphics display board or motherboard NVIDIA graphics. This is not a requirement for Linux operation.


Product Literature

Nvidia Tesla C1060 Datasheet
Nvidia Tesla C1060 Board Specification
Nvidia Tesla C1060 Installation Guide


Video Reviews

ComputerTV
The Computational Science Behind Shampoo
John Stone on Using GPU's for VMD
Paul Crozier on Using GPU's for LAMMPS


Documents

Cut Computing Costs
Reduce Computing Costs


GPU Applications in the Life Sciences

Examples of parallelized applications for  GPU computing.

 
Compatibility

Check our technology primer and the Nvidia system test page to determine if your motherboard is compatible with the Nvidia Tesla GPU.


Warranty

This product's warranty is 36 months parts and labor.  The warranty is provided by Nvidia.


Return Policy

Please refer to our return policies and procedures if you need to return products for a refund or exchange


Help

For customer service assistance or help with this product, please contact us.