Canonical and NVIDIA work to make AI more accessible in the enterprise

In 2018, OpenAI reported that the amount of computing power used in large-scale AI training runs had been doubled every 3.4 months since 2012. Around the same time, the volume of data generated also increased dramatically. This means traditional, general-purpose enterprise infrastructure can't deliver the required computing power, nor can it support the petabytes of data required to train accurate AI models at this scale. Instead, enterprises need dedicated hardware designed for AI workloads. Step forward a new collaboration between Canonical and NVIDIA that aims to accelerate at-scale deployments of AI projects and make open-source accessible on effective hardware for… [Continue Reading]