Higher bandwidth memory and advanced storage technology are the primary guarantees for the future development of autonomous driving

Self-driving cars require a highly secure, reliable, and responsive solution that relies on instantaneous decisions driven by massive amounts of data. In order to quickly analyze the data needed for future autonomous vehicles, higher bandwidth memory and storage solutions are indispensable.

By 2020, storage demand for Internet vehicles is likely to reach 1 trillion bytes, and to drive fully automated driving requires 300 gigabytes (GB/s) per second of storage system bandwidth. As a leader in the automotive memory and storage market, Micron Technology Co., Ltd. is unique in its position and will help accelerate the pace of innovation in the industry.

â–  Providing the fastest LPDDR4 for automakers: Micron is deploying automotive-grade low-power DDR (LPDDR) memory to a wide range of automotive customers. Micron recently announced that it has begun shipping LPDDR4x to major chip partners, which operates at 4266 megabits per second (MT/s) and is the highest speed grade allowed by the LPDDR4 specification. This technology allows the overall system bandwidth to be as high as 100 GB/s and lays the foundation for the design of next-generation autonomous vehicles.

■ High-performance automotive memory : At the same time, Micron also announced that it is committed to providing high-bandwidth GDDR6 storage solutions for the automotive market. Graphics Memory (GDDR) is a high-performance memory that is currently used in gaming, graphics, and virtual reality applications. Micron plans to leverage its edge in graphics memory to deliver the highest bandwidth solutions to meet the stringent quality requirements of the automotive industry and to work with leading automotive partners and customers to make GDDR technology meet Level 4 – fully automated and even A higher level of need.

Automated driving, artificial intelligence and machine learning are rapidly merging into future cars and will be the ultimate IoT and cutting-edge computing devices. While cloud connectivity in modern cars offers new service opportunities, it also poses security management challenges and vulnerabilities.

â–  Introducing Secure Boot: For storage systems based entirely on Authenta technology, Micron extends the value of hardware-based AuthentaTM security solutions by demonstrating the ability to securely boot such systems. The technology begins with a secure boot process that provides a level of protection for the underlying automotive electronic control software.

â–  New development kit for AuthentaTM security solutions: Micron announced at Mobile World Congress that it plans to offer AuthentaTM hardware and software development kits to all automotive and IoT customers by the end of this year, enabling them to begin evaluating how they will Flash support for Authenta technology is integrated into its security architecture for secure boot, cloud-based authentication, authentication, and deployment. As a result, customers do not need to add additional hardware components to their designs to increase the depth of defense of their solutions.

Industry Leaders Co-Media Roundtable Forum At the roundtable forum on the eve of the US Mobile World Congress, experts from industry partners such as Micron Technology, Cisco, Microsoft, NVIDIA and Qualcomm, on the key technologies for promoting the next wave of smart cars in the automotive industry The solution was discussed and shared insights.

■ Jeff Bader, Vice President, Micron Embedded Products Division: “To meet the unique needs of the automotive industry, it is inseparable from Micron's innovation. High-performance memories such as Micron's GDDR accelerate Internet cars by providing the original performance required for full automation. The overall system capacity has increased. With the addition of GDDR to Micron's product line, Micron continues to expand its leadership position and continue to drive innovation in the automotive industry."

■ Krish Inbarajan, Global Head of Internet Jasper, Cisco: “The core of today's Internet car innovation is the need to continue to enhance the driving experience by providing valuable connected services. Auto companies should be able to create compelling new services to drive recurring revenues. Growth and at the same time make the driving experience safer and more personal. The Cisco Jasper Control Center is an automated interconnection management platform. More than 50 well-known auto companies around the world use the platform to operate Internet car services, which are not only reliable, safe, but also more costly. low."

â–  Doug Seven, head of Microsoft's Azure Internet of Vehicles platform: "Security is at the heart of Microsoft's Internet of Vehicles platform. Vehicles will increasingly make discretionary decisions that will affect the safety of internal passengers and other vehicle drivers and pedestrians. Manufacturers need to be confident in ensuring the integrity of these systems. Microsoft is one of the few companies in the world to have built-in enterprise security in the global cloud. Our commitment to compliance and regulation is what automakers trust Microsoft to Help them build the primary reason for future Internet cars."

■ Tim Wong, Director of Technical Project Management, NVIDIA Automated Driving Division: “Artificial intelligence in autonomous vehicles requires a new approach to let the car perceive the large amount of data flowing into it and process it. We are working with car manufacturers and Suppliers collaborate to meet the requirements of this major industry shift for autonomous vehicles by ensuring that they use state-of-the-art processors and storage technologies in automotive design."

â–  Sanjay Vishin, Director of Qualcomm Automotive Platforms:

"The connection between smart cars and 5G/wireless will change the rules of the game between 'vehicle-to-infrastructure' and 'vehicle-to-vehicle' communication. It will build bridges between cars, environments and clouds, especially when cars become more autonomous This is especially true. This will make machine learning (and then service) in the cloud and cars more efficient, while improving the predictability of autonomous vehicles and enabling efficient collaborative control."