NVIDIA Jetson Module Comparison From Orin Family to Thor: What You Need to Know
The NVIDIA Jetson ecosystem has expanded rapidly, with Orin modules powering everything from entry-level AI applications to industrial robotics. Now, the arrival of Jetson Thor brings a massive leap in compute and efficiency. In this article, we’ll break down the Jetson Orin family and compare it with the new Thor series. To make things clear, we’ll start with a detailed comparison table and then walk through each module series.
Jetson Module Comparison at a Glance
What is the difference between Jetson AGX Orin, Orin NX, Orin Nano and AGX Thor?
Jetson AGX Thor Series
The NVIDIA Jetson Thor series is designed for the most demanding robotics and physical AI platforms. Delivering up to 2070 FP4 TFLOPS of compute and 128 GB memory, Thor is configurable between 40 W and 130 W. Compared to AGX Orin, it offers 7.5x higher AI compute and 3.5x better energy efficiency, making it the ultimate choice for next-generation autonomous systems.
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Jetson AGX Orin Series
With up to 275 TOPS, Jetson AGX Orin is NVIDIA’s most powerful AI computer for energy-efficient machines today. It delivers 8x the performance of its predecessor while supporting multiple concurrent AI inference pipelines and high-speed sensor interfaces. Applications range from manufacturing and logistics to healthcare and retail.
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Jetson Orin NX Series
The Jetson Orin NX is the sweet spot between power and compact design. In its smallest form factor, it offers up to 157 TOPS, along with double the CUDA cores. It’s ideal for autonomous machines that need both high compute and efficient energy use in tight spaces.
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Jetson Orin Nano Series
The entry-level Jetson Orin Nano sets a new baseline for edge AI, offering up to 67 TOPS at 7 W to 25 W power. That’s 140x more performance than the original Jetson Nano, enabling developers to bring AI workloads into compact, low-power devices.
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Final Thoughts
The Jetson Orin family gives developers a wide range of compute options, scaling from low-power Nano modules to industrial-grade AGX Orin. With Jetson Thor, NVIDIA is redefining the upper limits of AI performance for robotics and edge computing. The choice now depends on your application’s power budget, size constraints, and compute needs.
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