CGit, one of Scandinavia's leading suppliers of specialized infrastructure for the development of Artificial Intelligence (AI), today launches AiQu, a software developed by CGit to streamline customers' development of AI.
Learn the best practices for performance analytics and maintenance of a deep learning system. As GPU technology continues to advance, the demand for faster data continues to grow. In deep learning, input pipelines are responsible for a complex chain of actions that ultimately feed data into GPU memory, including reading from storage and pre-processing data. These pipelines bring together multiple hardware systems—networking, CPUs, and storage—along with sophisticated software systems to drive the data movement and transformation.
CGit är stolta att vara den första NVIDIA Elite-partnern i Norden, och en av mycket få i Europa, som har en egen DGX A100 i vårt datacenter.
AI Innovation of Sweden has just had it's first partner week and CGit got a chance to present our work in the data factory.
NVIDIA CEO Jensen Huang announced on 14 May 2020 the new Ampere GPU powered DGX A100. This monstrous GPU system will certainly rock the HPC market, with it’s whopping 5 PETAFLOPS (peak performance at FP16). It’s the follow-up model of the VOLTA powered DGX-1 (8 GPUs) and DGX-2 (16 GPUs) products.