Demand for NVIDIA's Jetson Orin Nano Creates Backlog
Surging demand for NVIDIA's Jetson Orin Nano Super Developer Kit has created a supply backlog, with new orders not expected to ship until April. The platform's popularity for prototyping in robotics, smart cameras, and autonomous systems highlights strong interest in affordable, high-performance edge AI hardware. The delay also points to ongoing supply chain constraints affecting the broader AI hardware market.
- The Jetson Orin Nano "Super" Developer Kit is an upgraded version of the original Orin Nano kit, boasting an increase in AI performance from 40 TOPS (trillion operations per second) to 67 TOPS. This performance boost is delivered via a software update, meaning the underlying hardware is identical. It features a 6-core Arm Cortex-A78AE CPU, a 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores, and 8GB of LPDDR5 memory. - Priced at $249, the "Super" kit was positioned as a more affordable and powerful option for developers, students, and makers compared to the original kit's launch price of $499. This pricing strategy makes high-performance edge AI and generative AI capabilities more accessible. - The Orin Nano delivers a significant performance leap over the original Jetson Nano, which was based on the Maxwell GPU architecture and offered 0.472 TFLOPS (472 GFLOPS) of performance. The Orin Nano provides up to 80 times the AI performance of its predecessor, enabling it to run modern and more complex AI models, including transformers. - The developer kit's carrier board is equipped with a wide array of connectors to support various project needs. This includes two MIPI CSI camera connectors, four USB 3.2 Gen2 Type-A ports, a DisplayPort 1.2 output, a 40-pin expansion header, and M.2 Key M slots for NVMe storage expansion. - The entire Jetson Orin family, which includes the Nano, NX, and AGX series, shares a common architecture and software stack, including the NVIDIA Jetpack SDK. This allows for scalable development, where a project prototyped on an Orin Nano can be deployed on a more powerful Orin AGX module with up to 275 TOPS for more demanding applications. - The demand for powerful, low-power edge AI hardware is a major trend in the broader technology market, with the global edge AI market projected to grow significantly. This growth is driven by the increasing need for real-time data processing in IoT devices, autonomous systems, and smart city applications, reducing reliance on cloud computing. - While NVIDIA's Jetson line is a dominant player, alternatives for edge AI development exist, including systems based on Rockchip's RK3588 processor and various FPGA-based solutions. Some developers also turn to third-party carrier boards for Jetson modules or pair platforms like the Raspberry Pi with AI accelerators such as the Luxonis Oak-D.
