7StarLake Edge Computers with Ampere Altra 32-128 core Arm Server AA320, TEC300, TEC300P at #ew23
Channel: Charbax
Date: 2023-03-29

Martin Ting, founder of 7StarLake, talks about their products, which focus on rocket mission computers, military application and autonomous vehicles, filmed at Embedded World 2023 in Nuremberg Germany. The products are designed to be high-performance and heavy-duty, and are good for military vehicles, autonomous driving and other heavy-duty vehicles. The products are also based on the combustion core, so there are no moving parts inside the system, and they can withstand shock and high evaporation. They are certified for thermal shock vibration and EMC. 7StarLake use the Intel Tiger Lake and Nvidia Coradro processors for their GPU CPU servers. They are providing these servers to leading autonomous vehicle companies, including Google, GM, and Volvo. They are also partnered with Ampere to launch AI computers for the autonomous driving, and military vehicles. These products are already in mass production. (chatgpt description based on auto subtitle)

Building Digital Infrastructure for Today
The exponential growth of data accelerates IoT technology across industries, including transportation, mobility, utility, and more.
However, the digitization of the data imposes challenges on the business with optimized performance, efficiency, and cost. Therefore, building intelligent edge network infrastructure is critical for success.
7StarLake is co-exhibiting with Ampere, a leader of the cloud-native processor in the market. Together, we developed AA320, TEC300, and TEC300P, Top Edge AI Computer powered by Ampere Altra with 32, 64, 96 and 128 core processors. They are designed for heavy-duty purposes, especially in AI Vehicle Computer, computer vision and machine learning.

This video was recorded as part of my Embedded World 2023 day 1  Livestream here: https://youtu.be/xrjt_uePrY8?t=5376

Watch all my Embedded World videos here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga