NVIDIA Launches Affordable “Jetson Orin Nano Super” Developer Kit for Commercial AI Innovators

NVIDIA has just lifted the curtain on a game-changer for those passionate about AI: introducing the “Jetson Orin Nano Super,” a mini-supercomputer that balances impressive AI performance with an affordable price.

### NVIDIA’s Latest “Orin” Mini-Supercomputer: Affordable and Powerful AI Performance

AI is making waves, and as commercial AI continues to evolve, it’s no surprise that hardware makers are racing to provide solutions that reach more people and fit within reasonable budgets. NVIDIA’s Jetson Orin Nano Super is aimed squarely at those eager to tap into AI capabilities without breaking the bank. Typically, when NVIDIA rolls out a budget-friendly option, it raises eyebrows, and this new Orin addition is no different. It’s poised to captivate developers focused on commercial AI applications.

The mini-supercomputer comes packed with a six-core ARM Cortex-A78E processor, achieving boost speeds up to 1.7 GHz. Adding to this, it houses NVIDIA’s Ampere GPU equipped with 1024 CUDA cores and 32 Tensor cores. While this config is on the lower end, it capably supports standard use-case scenarios. The device also includes a generous 8 GB of LPDDR5 memory and can handle up to 25W TDP, underscoring its emphasis on AI computational prowess.

NVIDIA says this little powerhouse boasts 67 TOPS INT8 performance, marking a remarkable 70% improvement over its predecessor. Additionally, the jump to 102 GB/s memory bandwidth signifies a 50% increase from the last generation, making the Jetson Orin Nano Super an enticing option for those with serious computational requirements. Enhancements to the Jetson lineup’s software ecosystem translate to a 1.7X enhancement in generative AI performance for the Orin NX and Orin Nano models.

Price-wise, this supercomputer comes in at just $249—a steal when you consider its capabilities. Given how rare it is for NVIDIA to offer products at such competitive prices, the Jetson Orin Nano Super stands out as a compelling choice for anyone seeking robust AI performance on a budget.