The Ultimate Solution for High-Performance Computing

The NVIDIA Tesla Computing Modules are the perfect integration of GPU computing with HP ProLiant servers, providing unparalleled performance for scale-out deployments. With a capacity of up to 6 GB of GDDR5 memory with ECC, and peak performance of up to 1.32 double-precision Tflops and up to 3.95 single-precision Tflops, these modules are designed to handle even the most demanding computational tasks.

Unleash the Power of NVIDIA Kepler Architecture

The Tesla K20 and K20X GPU Modules are single double-width PCIe modules based on the NVIDIA Kepler architecture. This cutting-edge technology allows for faster and more efficient processing, delivering increased performance for solving complex problems in a fraction of the time. With 4 GB of memory and a peak performance of 2.29 single-precision Tflops, the Tesla K10 Dual GPU Module is optimized for single-precision performance, making it the ideal choice for data-intensive applications.

Combining High Performance Computation and Professional-Class Visualization

The Tesla M2070Q takes things to the next level by combining Tesla's high-performance computation with the NVIDIA Quadro® professional-class visualization in the same GPU. This powerful combination allows for seamless integration of data processing and visualization, providing a comprehensive solution for your computing needs.

Reduce Computational Time and Carbon Footprint

With the NVIDIA Tesla Computing Modules, computational time can be dramatically reduced for parallel applications, offering quicker time to solutions. As parallel processors, GPUs excel at tackling large amounts of similar data because the problem can be split into hundreds or thousands of pieces and calculated simultaneously. This not only saves time, but also reduces the carbon footprint required for timely solutions, thanks to the high performance per watt of the GPU processors and the power-efficient HP ProLiant servers.

Experience the Full Potential with CUDA and CMU

The Tesla Computing Modules come equipped with the CUDA programming interface and third-party CUDA development tools, allowing for easy integration and customization of your computing environment. Additionally, the HP Cluster Management Utility (CMU) provides advanced monitoring and management capabilities for your GPUs, ensuring optimal performance and efficiency. CMU can also install and provision the necessary GPU drivers and CUDA software, making it a one-stop solution for all your computing needs.