Nvidia Offers The Ultimate AI Learning Tool With Jetson Nano 2GB

The Nano 2GB is connected and the Nano 4GB is ... [ ] in the background. Nvidia has asserted its leadership in Artificial Intelligence (AI) with a GPU architecture that continues to evolve with the growing demands of both training and inferencing AI workloads. The latest Ampere architecture provided a huge jump in performance with a new architecture that also allows the GPU to be partitioned to act as seven individual inference engines. As a result of Ampere, Nvidia's own supercomputer Selene based on the DGX A100 server ranks fifth in the TOP500 supercomputers and number one in the Green500 supercomputers. However, Nvidia is focused on more than just extreme computing as demonstrated by its proposed acquisition of Arm. Even without acquiring Arm, Nvidia has been pushing the boundaries of the AI down to lower-power and small form factor applications.