The NVIDIA Jetson Orin Nano Super Developer Kit is the Jetson Orin Nano Developer Kit running a faster, software-enabled power mode—not a new physical hardware revision. NVIDIA says the kits have no physical hardware or package differences; “Super” refers to the higher-performance configuration and branding.
What “Super” means
NVIDIA introduced the Super configuration by optimizing software and adding a higher power mode that raises operating clocks. The underlying developer-kit hardware remains the same. NVIDIA’s Jetson Orin Nano Super FAQ says the Super kit has no physical hardware or package differences from the earlier Jetson Orin Nano Developer Kit.
That distinction matters when identifying the product: “Super” does not mean a different board or a newly revised package. It means the existing kit can run with higher published configuration figures when supported software and power settings are in place.
How the published specifications compare
NVIDIA’s December 17, 2024 launch comparison gives these figures for the original and Super configurations. They are vendor-published specifications, not a guarantee that every application will run faster by the same amount.
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- 【Core Parameters】★AI Perf: 34/67 TOPS ★GPU:1024-core official Ampere architecture GPU with 32 Tensor Cores ★CPU:6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 ★Memory:8GB 128-bit LPDDR5 68 GB/s ★Storage: external NVMe via M.2 Key M
- 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications.
- 【AI Upgrade】Jetson Orin Nano series modules are compact in size but can deliver up to 34-67 TOPS of AI performance, with power consumption ranging from 7 watts to 25 watts. Compared to the Jetson Nano B01, it offers up to 80 times the performance and sets a new standard for entry-level edge AI.
- 【Highly compatible carrier board】Yahboom's carrier board is fully compatible with orin nano module. Compared to carrier boards that use Jetson Nano on the market, the newly upgraded circuit supports 25W power mode, which enables larger and more complex neural networks and fully leverages the performance of the core module. The resources, size, and interfaces of the Yahboom carrier board are consistent with the official board, with the only difference addition of power switch button.
- 【Tutorial materials provided】The JETSON system based on Ubuntu 22.04 provides a complete desktop Linux environment with accelerated graphics, supporting CUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.
| Specification | Original configuration | Super configuration |
|---|---|---|
| GPU | Ampere; 1,024 CUDA cores; 32 Tensor Cores; 635 MHz | Ampere; 1,024 CUDA cores; 32 Tensor Cores; 1,020 MHz |
| AI performance | 40 sparse INT8 TOPS; 20 dense INT8 TOPS; 10 FP16 TFLOPs | 67 sparse INT8 TOPS; 33 dense INT8 TOPS; 17 FP16 TFLOPs |
| CPU | Six-core Arm Cortex-A78AE; 1.5 GHz | Six-core Arm Cortex-A78AE; 1.7 GHz |
| Memory | 8 GB 128-bit LPDDR5; 68 GB/s | 8 GB 128-bit LPDDR5; 102 GB/s |
| Listed module power modes | 7 W and 15 W | 7 W, 15 W, and 25 W |
NVIDIA describes the Super configuration as offering up to 1.7x higher generative-AI performance. That is NVIDIA’s stated claim, not an independent benchmark or a universal speedup for all workloads. The launch comparison is available in NVIDIA’s December 17, 2024 announcement.
Can an existing Jetson Orin Nano Developer Kit become Super?
Yes. NVIDIA says owners of previous Jetson Orin Nano Developer Kits can use the new power mode by upgrading to the JetPack software version described at launch. The Super designation therefore does not require buying a different physical developer kit, although software support and power configuration still matter.
Rank #2
- 【Core Parameters】★AI Perf:34-67 TOPS ★GPU:512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores ★CPU:6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 ★Memory:4GB 64-bit LPDDR5 51 GB/s ★Storage: external NVMe via M.2 Key M (NOTE:SUB Board No SD Card Slot)
- 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications.
- 【AI Upgrade】Jetson Orin Nano series modules are compact in size but can deliver up to 34-67 TOPS of AI performance, with power consumption ranging from 7 watts to 25 watts. Compared to the Jetson Nano B01, it offers up to 80 times the performance and sets a new standard for entry-level edge AI.
- 【Highly compatible carrier board】Yahboom's carrier board is fully compatible with orin nano module. Compared to carrier boards that use Jetson Nano on the market, the newly upgraded circuit supports 25W power mode, which enables larger and more complex neural networks and fully leverages the performance of the core module. The resources, size, and interfaces of the Yahboom carrier board are consistent with the official board, with the only difference addition of power switch button.
- 【Tutorial materials provided】The JETSON system based on Ubuntu 22.04 provides a complete desktop Linux environment with accelerated graphics, supporting NVIDI-ACUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.
How Super Mode affects power, cooling, and production modules
Do not assume every Jetson module, software image, or power setup supports Super Mode automatically. NVIDIA documents separate support and setup requirements for production Orin Nano and Orin NX modules. Its JetPack 6.2 documentation lists new reference power modes for those modules and requires the relevant flashing configuration. Consult the JetPack SDK 6.2 page and the Jetson Linux power and performance documentation for the applicable module, software release, and configuration.
NVIDIA calls MAXN SUPER an uncapped power mode. “Uncapped” does not mean the device can sustain any power draw or clock indefinitely: when total module power exceeds its thermal design budget, the module lowers frequency to stay within that budget. A suitable input-power and thermal design is therefore important, and builders can tune a custom mode to balance performance with power or thermal stability.
Rank #3
- 【Core Parameters】★AI Perf: 34/67 TOPS ★GPU:1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores ★CPU:6-core Arm Corte-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 ★Memory:8GB 128-bit LPDDR5 68 GB/s ★Storage: external NVMe via M.2 Key M
- 【Empowered by Large Al Model, Enhanced Human-Computer Interaction】Jetson Orin Super leverages three AI models and incorporates an AI voice interaction module. This multimodal visual system matches the scene being described, enabling environmental awareness and AI visual gameplay. Combined with a large-scale voice module and camera, it enables speech-to-text, semantic analysis, natural conversation, and real-time video analysis, enabling advanced embodied AI applications.
- 【AI Upgrade】Jetson Orin Nano series modules are compact in size but can deliver up to 34-67 TOPS of AI performance, with power consumption ranging from 7 watts to 25 watts. Compared to the Jetson Nano B01, it offers up to 80 times the performance and sets a new standard for entry-level edge AI.
- 【Highly compatible carrier board】Yahboom's carrier board is fully compatible with orin nano module. Compared to carrier boards that use Jetson Nano on the market, the newly upgraded circuit supports 25W power mode, which enables larger and more complex neural networks and fully leverages the performance of the core module. The resources, size, and interfaces of the Yahboom carrier board are consistent with the official board, with the only difference addition of power switch button.
- 【Tutorial materials provided】The JETSON system based on Ubuntu 22.04 provides a complete desktop Linux environment with accelerated graphics, supporting NVIDI-ACUDA 12.6, TensorRT 10.7.0, cuDNN 9.6.0, OpenCV 4.10.0, etc. The performance on AI LLM, VLM and visual Transformer is significantly improved compared with the previous generation.
NVIDIA notes that the higher power budget may require changes to a carrier board or thermal design. For a deployable product, verify the exact module variant, JetPack or Jetson Linux release, flashing configuration, input-power design, and cooling requirements rather than assuming the developer-kit setup transfers directly.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Is the developer kit intended for production?
No. NVIDIA describes developer kits as tools for development and testing, not production devices. A kit combines a Jetson module with a reference carrier board and standard interfaces; it is suited to learning, prototyping, and validating edge-AI software. For a product that will be manufactured or deployed, use the appropriate production module and design the surrounding system for its power, thermal, and carrier-board requirements. NVIDIA’s Jetson Developer Kits page points product builders toward modules, design resources, and Jetson partners.
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