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London-based startup Wayve is leading the new era of autonomous vehicle technology, known as AV 2.0, by integrating generative AI to enhance decision-making in real-world environments. This innovation is built on NVIDIA DRIVE Orin and NVIDIA DRIVE Thor, utilizing NVIDIA’s advanced GPU architecture for robust AI workloads. Wayve’s advancements promise significant strides in driving automation, safety, and efficiency.
Key Highlights:
- Wayve’s Autonomous Driving Technologies: Utilizes generative AI for real-world decision-making.
- NVIDIA DRIVE Integration: Built on NVIDIA DRIVE Orin and Thor for advanced AI capabilities.
- AI Foundation Models: Wayve specializes in AI models for vehicle intelligence.
- Generative AI Role: Essential in synthetic data generation and simulation of driving scenarios.
- Embodied AI Development: Integrates advanced AI into vehicles and robots to enhance safety.
- Series C Investment: Supports the development of embodied AI products for production vehicles.
- GAIA-1 and LINGO-2 Models: Key generative AI models for autonomy and driving behavior analysis.
Wayve is at the forefront of AV 2.0, developing autonomous driving technologies that are set to revolutionize the automotive industry. Built on NVIDIA’s powerful AI platforms, Wayve’s approach contrasts sharply with the previous AV 1.0 era, which focused mainly on improving perception capabilities through multiple deep neural networks. Instead, AV 2.0 emphasizes comprehensive in-vehicle intelligence, enabling vehicles to make decisions in dynamic, real-world environments.
As a member of the NVIDIA Inception program for innovative startups, Wayve leverages NVIDIA’s technology to create AI foundation models for autonomous driving. These models act as a “robot brain,” allowing vehicles to learn from and interact with their surroundings. “NVIDIA has been the oxygen of everything that allows us to train AI,” said Alex Kendall, co-founder and CEO of Wayve. “We train on NVIDIA GPUs, and the software ecosystem NVIDIA provides allows us to iterate quickly — this is what enables us to build billion-parameter models trained on petabytes of data.”
Generative AI is a cornerstone of Wayve’s development process, providing the capability to generate synthetic data and simulate novel driving scenarios. This approach ensures that autonomous vehicles can learn from a vast array of experiences, enhancing their ability to handle real-world situations safely and effectively.
Wayve’s commitment to integrating advanced AI into vehicles is evident in its development of embodied AI technologies. These innovations aim to transform how vehicles and robots respond to and learn from human behavior, significantly boosting safety and efficiency on the road.
The company’s recent Series C investment round, which included participation from NVIDIA, is set to accelerate the development and launch of the first embodied AI products for production vehicles. As Wayve’s core AI model continues to advance, these products will enable manufacturers to upgrade cars efficiently, moving from L2+ assisted driving to L4 automated driving.
To further enhance its embodied AI development, Wayve introduced GAIA-1, a generative AI model for autonomy that creates realistic driving videos from video, text, and action inputs. Additionally, LINGO-2, a driving model, connects vision, language, and action inputs to explain and determine driving behavior. “One of the neat things about generative AI is that it allows you to combine different modes of data seamlessly,” Kendall explained. “You can bring in the knowledge of all the texts, the general-purpose reasoning and capabilities that we get from LLMs and apply that reasoning to driving — this is one of the more promising approaches that we know of to be able to get to true generalized autonomy and eventually L5 capabilities on the road.”
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