eInfochips’ new NVIDIA GPU-powered solutions for medical imaging, aerospace and defense

Company expands reach of latest GPU technology and CUDA programming expertise to big data, aerospace and defense, medical, and industrial, among other markets 

eInfochips, a leading engineering R&D services company, today announced professional services offered to clients to develop NVIDIA GPU-powered solutions for aerospace and defense, medical imaging, high-performance computing (HPC), industrial, and visual computing applications.

Powered by NVIDIA® Tesla®, NVIDIA Quadro® and NVIDIA Tegra® GPUs, the next generation of systems designed by eInfochips will accelerate performance for visual computing and imaging applications.

eInfochips is already working on systems that will enable real-time video analytics, tuned for aerospace, surveillance and medical imaging applications. Their CUDA experts are also working on migrating search query processing algorithms for high performance parallel computing, big data analytics and database indexing.

eInfochips CUDA Expertise 

eInfochips engineers have a proven track record of world-class video hardware and software design. Trained on the NVIDIA CUDA® parallel computing platform and programming model, they offer customers the expertise for them to take advantage of the latest GPU-accelerated applications.

"Customers are racing to grab market share with GPU-enabled hardware and applications," said Parag Mehta, Chief Marketing and Business Development Officer at eInfochips. "eInfochips can accelerate product design cycles, and increase their probability of success, with an expert and experienced GPU engineering team."

Randy Lewis, Senior Director of Worldwide Field Operations for Professional Products at NVIDIA, said, "Researchers, visual design specialists, engineers and other professionals worldwide rely on GPU technology to advance their work. We welcome the opportunity to work with innovative companies like eInfochips to broaden access to advanced, high-performance GPU technology and expand the GPU computing ecosystem."