Author: IBL News

Much of Jensen Huang’s speech focused on how well the new chips would perform for that task, including a new storage layer called “context memory storage” aimed at helping chatbots provide snappier responses to long questions and conversations.

Huang highlighted new software that can help autonomous vehicles make decisions about which path to take. NVIDIA showed research on software called Alpamayo late last year, saying on Monday it would be released more widely, along with the data used to train it, so that automakers can evaluate it.

This year, Mercedes-Benz will begin shipping CLA model cars equipped with Nvidia self-driving technology comparable to Tesla’s Autopilot.

“Not only do we open-source the models, but we also open-source the data that we use to train those models, because only in that way can you truly trust how the models came to be,” Huang said from a stage in Las Vegas.

While Google is a major Nvidia customer, its own chips have emerged as one of Nvidia’s most significant threats, given Google’s close ties with Meta Platforms.