November 29, 2022

NASA has chosen US-based Microchip Technology to foster a space flight registering (HPSC) processor that will give about 100 times the computational limit of current spaceflight computers. The cutting edge processor would propel a wide range of future space missions, from planetary investigation to lunar and
Mars surface missions.

“This cutting-edge spaceflight processor will have a tremendous impact on our future space missions and even technologies here on Earth,” said Niki Werkheiser, director of technology maturation of the Space Technology Mission Directorate at NASA Headquarters in Washington.

The microchip will plan, design and deliver the HPSC processor for nearly three years, with full intent on utilizing the processor on future lunar and planetary investigation missions. The architect of the microchip processor will fundamentally further develop the general effectiveness of computing for these
missions by enabling computing power in view of the mission needs. The design will more reliable and
have less fault.

As NASA’s partnership, the work will happen under a $50 million firm-fixed-cost agreement, with Microchip contributing huge sum of work expenses to finish the task. “We are pleased that NASA selected Microchip as its partner to develop the next-generation space-qualified compute processor platform,” said Babak Samimi, corporate vice president for Microchip’s Communications business unit. Samimi mentioned that it will deliver Ethernet networking, advanced artificial intelligence/machine learning processing and connectivity support as it shall also offers fault-tolerance, and security architecture at low power consumption.

Micro processor’s HPSC processor may likewise be valuable to other government organizations and can be used for different kinds of future space missions to investigate our nearby planet and then some, from Earth science operations to mars exploration missions.

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The processor could be benefitted when used for commercial purpose on Earth. It include industrial automation, edge computing, time-sensitive ethernet data transmission and artificial intelligence.