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NVIDIA recently lifted the curtain on a new gadget for tech enthusiasts, introducing the "Jetson Orin Nano Super." This little powerhouse boasts impressive AI capabilities, all while being easy on the wallet.
Meet NVIDIA’s Budget-Friendly "Orin" Mini-Supercomputer
The buzz around AI continues to grow, and as commercial AI tech evolves at a rapid pace, hardware companies are stepping up to offer solutions that make advanced computing more accessible—financially speaking. NVIDIA’s Jetson Orin Nano Super is one such product, meant for those interested in tapping into AI computing without spending a fortune. NVIDIA’s budget-conscious releases are notorious for impressing, and this latest addition looks to be a strong candidate for developers tinkering with commercial AI.
Delving into the specs, this mini-supercomputer packs a six-core ARM Cortex-A78E processor with a boost clock reaching up to 1.7 GHz. To complement the processor, NVIDIA has included its Ampere GPU, featuring 1024 CUDA cores and 32 Tensor cores. While these specs sit on the lower end of the power spectrum, they should be just enough for typical use cases. The device also comes with 8 GB of LPDDR5 memory and supports up to 25W TDP, prioritizing AI computational tasks—a topic we’ll explore further later.
According to NVIDIA, the Jetson Orin Nano Super offers 67 TOPS of INT8 performance, which is a significant 70% improvement over its predecessor. The memory bandwidth has seen a boost as well, now at 102 GB/s, marking a 50% increase. These enhancements make the Orin Nano Super a fantastic choice for computational projects. Plus, NVIDIA has elevated its software ecosystem for the Jetson lineup, promising a 1.7X boost in generative AI performance for both the Orin NX and Orin Nano series.
When it comes to pricing, this mini-supercomputer is set at just $249. At that price point, given its capabilities, the device is certainly appealing. It’s unusual to see NVIDIA launch products at such affordable prices, making the Jetson Orin Nano Super an exciting prospect for anyone looking to balance budget and performance in AI technology.
