Nvidia has just expanded its system-on-module family with the addition of the JetsonOrin Nano. It will deliver up to 80x the performance of its predecessor.
Nvidia announced the upcoming release of the Jetson Orin Nano, a system-on-module that will power up the next generation of entry-level AI and robotics, during its GTC 2022 keynote today.
A system-on-module features a single board with a microprocessor. It also has memory and input/outputs , and usually has a carrier board. It’s not the same thing as a system-on-a-chip , mind you — an SOM is board-based and may have the space to include extra components; it could even include an SOC. In short, an SOM is a ready-to-use computing solution, but it’s not a full computer.
Despite being the smallest form factor Jetson SOM, the Jetson Orin Nano can handle up to 40 trillion operations per second of AI-related tasks. The performance hits new heights with the AGX Orin, serving up 275 TOPS in order to handle advanced autonomous machines. The Jetson Orin Nano modules will be available in two variants, one with 8GB memory and up to 40 TOPS, and one with 4GB memory and up to 20 TOPS. In terms of power consumption, the SOM needs next to nothing: The former requires between 7 watts and 15 watts while the latter only needs 5 watts to 10 watts.
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