NVIDIA GTC May 2020 Keynote Pt 8: NVIDIA Ampere Architecture Comes to Orin for Autonomous Vehicles

TL;DR

NVIDIA's Ampere architecture is bringing scalability and incredible computational performance to the autonomous driving industry, enabling everything from driver assistance systems to fully autonomous robot taxis.

Transcript

One of the most exciting applications for AI is autonomous AI. This is essentially a data center on wheels, and AI is processing at real time with sensors feeding it, and it has to process so fast that it can make decisions in a split of a second. Autonomous vehicles is one of the greatest computing challenges and will surely be one of the most imp... Read More

Key Insights

• ✊ The Ampere architecture brings scalability and computational power to autonomous driving, revolutionizing the industry.
• ❤️‍🩹 NVIDIA's end-to-end system for autonomous driving includes data collection, AI model training, testing, and remote control capabilities.
• 👻 The openness of the DRIVE platform allows partners to contribute their own tools and technologies, fostering collaboration and innovation.
• 🪛 NVIDIA's DRIVE platform has attracted partners from various sectors, driving advancements in autonomous transportation.
• 🤖 The Ampere architecture's scalability enables a wide range of applications, from driver assistance systems to fully autonomous robot taxis.
• 👻 The DRIVE platform's virtual reality driving simulator allows for comprehensive testing and development of autonomous vehicle applications.
• ❓ NVIDIA's focus on the entire pipeline, from data collection to testing, showcases their commitment to advancing autonomous driving technology.

Questions & Answers

Q: What is the significance of the Ampere architecture in autonomous driving?

The Ampere architecture is a breakthrough in autonomous driving as it provides scalability and computational power, allowing for a wide range of applications, from driver assistance systems to robot taxis.

Q: How does NVIDIA's end-to-end system for autonomous driving work?

NVIDIA's system encompasses data collection, labeling, and AI model training. It also includes a virtual reality driving simulator, allowing for comprehensive testing and remote control capabilities.

Q: Why is NVIDIA's DRIVE platform open?

NVIDIA has made the DRIVE platform open to encourage collaboration and innovation. Partners from various sectors, including automotive companies, startups, and mapping companies, can augment the platform with their own tools and technologies.

Q: What has NVIDIA learned from developing the DRIVE platform?

Through the development of the DRIVE platform, NVIDIA has gained valuable insights into the future of autonomous vehicles. The end-to-end pipeline and infrastructure have been significant achievements, enabling advancements in autonomous transportation.

Summary & Key Takeaways

• NVIDIA's Ampere architecture is being integrated into the NVIDIA DRIVE platform, revolutionizing the autonomous driving industry.

• The scalability and efficiency of the Ampere architecture enables a wide range of applications, from driver assistance systems to fully autonomous vehicles.

• NVIDIA has developed an end-to-end system for creating and operating autonomous vehicle applications, including testing, simulation, and remote control capabilities.