With the world’s first teraflop many-core processor, NVIDIA® Tesla™ computing solutions

Revolutionary NVIDIA® Tesla™ high performance computing solutions put personal supercomputing into the hands of individual scientists and engineers by expanding the capability of any workstation or system with the power of GPU computing. Scientific and technical professionals now have an incredible opportunity to expand their ability to solve problems previously impossible with current computing approaches.

Petascale Computing with teraflop processors

The 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. With 240 processor cores and a standard C compiler that simplifies application development, Tesla scales to solve the world’s most important computing challenges-more quickly and accurately.

Feeding the Relentless Demand for HPC Performance

Tesla computing solutions enable users to process large datasets with a massively multi-threaded computing architecture. By developing a parallel architecture from the ground up, NVIDIA has designed its new Tesla computing products to meet the requirements of HPC software. Exclusive computing features include a Thread Execution Manager to coordinate the concurrent execution of thousands of computing threads and a Parallel Data Cache enabling computing threads to share data easily, delivering results in less time.

Many-Core Architecture Delivers Optimum Scaling Across HPC Applications

Scientists and engineers have made the transition to ‘many core’ computing because their problems have reached a complexity that required them to look for new ways to boost their work. With parallel performance from 240 cores, capable of concurrent execution of thousands of computing threads, these professionals can get accurate answers, faster. The number of processor cores has replaced MHz as the new metric for performance. Revolutionary scalar, single, and doubleprecision floating-point performance enables solving a wide range of high-performance computing applications, whose complexity has outstripped the CPU’s ability to solve them.

High-Efficiency Computing Platform for Energy - Conscious Organizations

Unlike any other solution available in the HPC space, the Tesla C1060 delivers cluster-level performance in a power-efficient workstation. This “high density computing” allows every technical professional to have a dedicated high-performance supercomputer at their desk-side instead of building up a small cluster in the data center. This gives green-conscious organizations an excellent choice to achieve their desired level of computation without the build-up, management, and energy cost of a data center.

NVIDIA CUDA™ Technology Unlocks the Power of Tesla’s Many Cores

The CUDA C programming environment simplifies many-core programming and enhances performance by offloading computationally-intensive activities from the CPU to the GPU. It enables developers to utilize NVIDIA GPUs to solve the most complex computation-intensive challenges such as protein docking, molecular dynamics, financial analysis, fluid dynamics, structural analysis and many others.

Features and Benefits

Massively - parallel many core architecture with 240 processor cores	Solve compute problems on your workstation that traditionally required a cluster installation.
Widely accepted, easy to learn CUDA C programing 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 1000s 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 by overlapping data transfers with computation.
4 GB global memory	Compute on larger data sets than before.
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 Processors available in flexible form factor	Tesla workstation products and 1U systems enable deployment in a wide range of environments.