General Motors

Wayveโ€™s end-to-end driving AI is now running in Nissan Ariya electric vehicles in Tokyo, marking a pragmatic step toward consumer deployment in 2027. The test vehicles combine a camera-first approach with radar and a lidar unit for redundancy, aligning with Japanโ€™s dense urban environment and complex traffic patterns. The initial commercial target is โ€œeyes on, hands offโ€ Level 2 driver assistance, with drivers remaining responsible and ready to take over. Nvidia has signed a letter of intent for a potential $500 million investment in Wayveโ€™s next funding round, reinforcing the compute-intensive nature of the program.
Manufacturers and wireless providers are shifting 5G from promising pilots to scaled, revenueโ€‘relevant deployments across American factories. A joint report from the National Association of Manufacturers (NAM) and CTIA underscores a clear inflection point: commercial 5G, industrial AI and edge computing are maturing together. With 3GPP Release 16/17 capabilities such as URLLC, timeโ€‘sensitive networking integration, network slicing and nonโ€‘public networks, 5G is increasingly able to support timeโ€‘critical control, quality inspection and safety systems at scale. Production use cases are expanding and delivering measurable benefits. The message is consistent: companies that operationalize 5G alongside AI and automation will capture disproportionate productivity and resiliency advantages.
Nvidia GTC 2025 introduced AI advancements, including Blackwell Ultra AI chips, agentic AI, and AI Factories. With innovations in robotics, generative AI, and AI-driven cloud computing, Nvidia is shaping the future of AI-powered industries. Discover how these technologies are transforming healthcare, finance, automotive, and enterprise applications.
General Motors (GM) is strengthening its AI collaboration with NVIDIA to revolutionize manufacturing, vehicle design, and autonomous technology. By leveraging AI-powered digital twins, intelligent robotics, and advanced driver-assistance systems, GM aims to enhance efficiency, safety, and innovation across its operations. This partnership marks a major step toward smarter factories, faster vehicle development, and the future of AI-driven transportation.

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