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Nvidia Tesla C1060

NVIDIA Tesla

NVIDIA Tesla C1060 4GB GPU Computing Card


Overview

The NVIDIA® Tesla™ C1060 is a powerful 4GB dedicated GPU computing card. Designed to transform a workstation into a high-performance computer that outperforms a small HPC cluster. The latest high performance GPU technology provides technical professionals with a dedicated computing resource in their desktop that is faster and more energy-efficient than a shared cluster in the data center. The NVIDIA 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.

NVIDIA Tesla
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 Tesla

NVIDIA Tesla
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

  
FeaturesBenefits
Massively-Parallel Many Core Architecture with 240 processor coresSolve compute problems on your workstation that traditionally required a large cluster installation
4 GB High-Speed MemoryEnables 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 environmentEasily 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 coresSolve large-scale problems by scaling to thousands of cores across multiple GPU's
IEEE 754 single & double precision floating point unitsAchieve the highest floating point performance from a single chip, while meeting the precision requirements of your application
Asynchronous transfer capabilityTurbo charges system performance because data transfers can be executed concurrently with computation
512-bit memory interface from GPU to on-board memoryFast GDDR3, 512-bit memory interface delivers 102 GB/sec memory bandwidth for blistering data transfer
Shared Data MemoryGroups of processor cores can collaborate using low latency memory
High Speed, PCI-Express Gen 2.0 Data TransferFast and high-bandwidth communication between CPU and GPU
Tesla GPU's available in flexible form factorTesla workstation products and 1U systems enable deployment in a wide range of environments

Specifications

Form Factor10.5" x 4.376", Dual Slot
# of Tesla GPU's1
# of Streaming Processor Cores240
Frequency of processor cores1.3 GHz
Single Precision floating point performance (peak)933
Double Precision floating point performance (peak)78
Floating Point PrecisionIEEE 754 single & double
Total Dedicated Memory4 GB GDDR3
Memory Speed800MHz
Memory Interface512-bit
Memory Bandwidth102 GB/sec
Max Power Consumption187.8 W
System InterfacePCIe x16
Auxiliary Power Connectors6-pin & 8-pin
Thermal SolutionActive fan sink
Software Development ToolsC-based CUDA Toolkit

 
 


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