Dec. 2 — Silicon Mechanics, Inc. announces that it now offers the NVIDIA Tesla K40 GPU accelerator, the world’s fastest accelerator, as part of its GPU Solutions product line.
The Tesla K40 GPU accelerator is equipped with 12GB of memory to process the world’s most challenging computational problems — making it ideal for big data analytics and large‐scale scientific computations in such fields as seismic processing; computational biology and chemistry; weather and climate modeling; image, video, and signal processing; computational finance; computational physics; CAE; and CFD.
The NVIDIA Tesla K40 GPU delivers up to 40 percent higher performance compared to the NVIDIA Tesla K20X GPU, and 10 times higher performance than today’s fastest CPU. Featuring NVIDIA GPU Boost technology, which converts power headroom into a user-controlled performance boost, the Tesla K40 GPU accelerator enables users to achieve even greater acceleration for various HPC workloads.
The NVIDIA Tesla family of GPUs is built on the NVIDIA Kepler GPU architecture and includes powerful technology features such as Dynamic Parallelism and Hyper-Q.
Silicon Mechanics offers a variety of server platforms designed for GPU computing, including the popular 4U Hyperform R2504.v4 and the 2U Rackform iServ R354.v4, each of which supports up to 4 powerful NVIDIA Tesla GPUs. Call one of our Sales Experts, or learn how you can try a test drive to see how Kepler-based GPUs can speed up your applications.
About Silicon Mechanics
Silicon Mechanics, Inc. is an industry-leading provider of rackmount server, storage, and high-performance computing solutions. Deploying the latest innovations in hardware and software technology, we work in collaboration with our customers to design and build the most efficient, cost-effective technology solution for their needs. Our guiding principle, “Expert included,” is our promise that reflects our passion for complete customer satisfaction, from server and component selection to superior installation and ongoing technical support.
Source: Silicon Mechanics