Tesla C1060 Computing Processor

NVIDIA® Tesla™ C1060 Computing Processor enables the transition to energy efficient parallel computing power by bringing the performance of a small cluster to a workstation.

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Learn more about Tesla C1060

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 - please click here.


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

Main | Features

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 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	C-based CUDA Toolkit