This is the first of a series of three talks, in which I will introduce to you the vision of EdgeLab.ai and describe the three pillars of the EdgeLab Platform: EdgeLab Automotive, EdgeLab Cloud, and EdgeLab Wireless.
These are the building blocks of the Immersive Mixed Reality Platform that offers a near real-time, versatile, realistic and repeatable environment for building the automotive products that perform well in the stochastic and diverse real world.
If you are an automotive SoC company, EdgeLab.ai will help you take steps to mitigate design risks, shorten development cycles and deliver products that meet or exceed industry safety standards.
An end-to-end, close-loop, mixed-reality platform to let you explore, design, build and train / validate compute solutions, critical to the future of the connected and autonomous cars.
The ability to see a design from the immersive experience of vehicles, occupants, pedestrians, motorbikes, and other objects on the road offers new and valuable insight and understanding that can minimize risks, improve development time, and increase safety.
From test and development to validation and AI/ML training, EdgeLab comprehensive Digital Twins will be crucial to accelerating development, improving safety, and enhancing the user experience.
The fusion of intelligent vehicles, data enhanced roads, and ubiquitous communication infrastructure is making the vision of a driverless future a reality.
The automakers and OEMs must take steps to mitigate design risks, shorten development lifecycle, and deliver products that meet or exceed industry safety standards. EdgeLab Automotive is a cloud-native platform that enables the automotive designer to evaluate, develop, and test automotive compute solutions with high level of fidelity and realism.
EdgeLab.ai is a cloud-native Digital Twin for the design and evaluation of connected vehicles products and applications.
Our platform provides a closed-loop simulation of the communication infrastructure elements for roads and highways to enable the hardware and software developers to implement, test, and validate automotive devices at all phases of designs from conceptualization to prototype and deployment.
EdgeLab.ai is fully integrated with commercial EDA tools from major vendors, with support for modern (ARM, x86, MIPS) and emerging (RISC-V) instruction set architectures (ISA).
EdgeNOS – a secured and high-performance Linux-based OS for edge devices.
Teranium – a modular, composable Layer-1 programmable component framework for development, testing, and characterization.
EdgeLab.ai also provides a powerful collection of traditional trace, monitoring and debugging tools for the embedded automotive platforms that is customizable for all major embedded processors and architectures.
Our approach offers a near real-time, versatile, realistic and repeatable environment for building the automotive products that perform well in the stochastic and diverse real world.