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.
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.
CGit tar en ny stororder avseende AI-infrastruktur och Deep Learning.
CGit har tagit en ny stororder på en AI-plattform från en befintlig kund.
CGit kommer från och med idag att erbjuda lärarledda workshops i samarbete med NVIDIA. Dessa workshops är endagarskurser (8 timmar) där hands-on-träning varvas med föreläsningar som levereras av DLI-certifierade instruktörer.