CGit har i global konkurrens skrivit ett strategiskt ramavtal med AI Sweden, Sveriges nationella centrum för tillämpad artificiell intelligens.
The customer, which is active in the global Automotive industry, has decided to invest in a highly specialized infrastructure for the development of AI with the help of Deep Learning.
Together with Asymptotic, CGit starts a joint company. The company, called AIXIA, will offer a software platform for development that complements CGits offering of AI Infrastructure. Through AIXIA, we further strengthen our unique position in the market.
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.