Nvidia doubles compute for entry-level edge robotics with Jetson Orin Nano 2
Nvidia Corp. today announced the release of Jetson Orin Nano 2, a robotics computer “brain” for running artificial intelligence and frontier-level models at the edge.
In the past months, foundational AI models have grown smaller and more efficient, adding numerous capabilities alongside language understanding, computer vision and audio processing. As more AI models compress in size, they can run on smaller, more efficient hardware. Nvidia said it’s iterating on that hardware to run more efficiently at the edge to incorporate these smaller, faster, denser models.
“Today’s small and medium frontier models have reached the accuracy of last year’s largest frontier models, unlocking real-time intelligence for edge devices,” said Deepu Talla, vice president of robotics and edge AI.
The Orin Nano 2 represents a leap in entry-level robotics hardware, doubling compute capacity over the previous generation. It features 78 trillion operations per second of AI compute, 8 gigabytes of memory and an eight-core central processing unit. This allows it to deliver strong performance in a small form factor while consuming 40% less power than its predecessor in 15-watt power mode.
