“With the recent proliferation of electric vehicles and the rapid advancement of infotainment and autonomous driving systems, the semiconductor automotive platform is facing a paradigm shift. What used to be a seven to eight-year replacement cycle is now being compressed into a three to four-year cycle, and at the same time, performance and capacity requirements are advancing to levels commonly found in servers,” said Jinman Han, Executive Vice President and Head of Memory Global Sales & Marketing at Samsung Electronics. “Samsung’s reinforced lineup of memory solutions will act as a major catalyst in further accelerating the shift toward the ‘Server on Wheels’ era.”

Advanced features in infotainment systems such as high-definition maps, video streaming and 3D gaming, together with the growing use of autonomous driving systems, have been driving the demand for high-capacity, high-performance SSDs and graphics DRAM throughout the automotive industry.

In 2017, Samsung was the first in the industry to introduce UFS solutions for automotive applications. Today, the company is well-positioned to provide a total memory solution with the new automotive SSD and GDDR6 DRAM.

Samsung’s 256GB BGA SSD controller and firmware are developed in-house for optimized performance, offering a sequential read speed of 2,100 megabytes per second (MB/s) and a sequential write speed of 300MB/s, which are seven and two times faster than today’s eMMC, respectively. Furthermore, the 2GB GDDR6 DRAM features up to a 14 gigabit-per-second (Gbps) data rate per pin. Such exceptional speeds and bandwidth will support complex processing of various multimedia applications as well as large amounts of autonomous driving data, contributing to a safer, more dynamic and more convenient driving experience.

In addition, Samsung’s new automotive solutions meet the AEC-Q100 qualification — the global automotive reliability standard — allowing them to operate stably in extreme temperatures ranging from -40°C to +105°C, which is an especially crucial requirement for automotive semiconductors.

Recently, sensor deployment in autonomous vehicles to continuously monitor immediate surroundings has been increasing, and high-speed processing to interpret and predict this data for safer driving is becoming critically important. By introducing automotive memory solutions previously championed in servers and AI accelerators, Samsung is helping to pave the way for safer autonomous driving.

Having already completed customer evaluations, the new automotive memory products are currently in mass production.

In line with its focus on next-generation NPU technologies, Samsung plans to create over 2,000 related jobs worldwide by 2030, which is about 10 times the current headcount. The company will also expand upon its existing collaboration with globally distinguished research institutes and universities, and support the nurturing of future talent in the field of AI, including deep learning and neural processing.

“For the coming age of AI, Samsung is committed to delivering industry-leading advancements brought to life by our NPU technologies,” said Inyup Kang, president of System LSI Business at Samsung Electronics. “As we leverage our differentiated technology, close partnerships with global institutes and active investment in top talent, we are excited to take future AI processing capabilities to the next level.”

Samsung introduced its first NPU in the company’s premium mobile processor, the Exynos 9820, last year and plans to continue offering advanced on-device AI features for high-performance mobile chips. Applications for Samsung’s NPUs will expand into areas such as automotive processors that power in-vehicle infotainment (IVI) and advanced driver assistance systems (ADAS), as well as next-generation datacenters optimized for big data processing.

The System LSI Business and Samsung Advanced Institute of Technology — Samsung’s R&D arm — together plan to extend and evolve the company’s current NPU research into novel AI hardware technologies such as neuromorphic processors that aim to operate at the level of a human brain.