NVIDIA Jetson Orin Nano Super Developer Kit
The NVIDIA Jetson Orin Nano Super Developer Kit is a compact edge AI platform delivering up to 67 TOPS of compute within a 7–25 W power envelope, designed for developing and running AI workloads — including small language models, vision transformers, and robotics applications — entirely on-device without cloud connectivity.
- CPU
- 6-core Arm
- GPU
- 1024-core Ampere + 32 Tensor cores
- Power
- 7–25 W configurable
- Memory
- 8 GB LPDDR5 (102 GB/s)
Where to buy in Singapore
We do not supply this one. We hold no supply relationship with NVIDIA or its Singapore channel. The Orin Nano Super developer kit goes through NVIDIA's authorised distributors here; at the time of writing Amazon.sg lists cases and third-party Orin boards but not the kit itself, so the authorised channel is the route that will actually get you one. It stays listed because our articles refer to it.
We keep this page because the comparison is still useful.
Highlights
- ✓Cheapest official entry to NVIDIA edge AI at $249
- ✓Up to 67 TOPS — runs small LLMs/VLMs locally
- ✓Same JetPack/CUDA/TensorRT stack as bigger Jetsons
- ✓Low 7–25 W power for embedded and battery use
Overview
NVIDIA Jetson Orin Nano Super Developer Kit
The Jetson Orin Nano Super Developer Kit is an entry-level edge AI development platform in NVIDIA's Jetson Orin family, priced at $249. It targets developers, researchers, and students who need a capable, low-power AI compute system that runs inference workloads locally rather than relying on cloud infrastructure.
Hardware Architecture
The module is built around a 1024-core Ampere GPU with 32 Tensor Cores, which provides up to 67 TOPS of INT8 performance — the primary metric for neural network inference throughput. It is paired with 8 GB of LPDDR5 unified memory, shared between the CPU and GPU. The entire system operates within a configurable 7–25 W power envelope, making it suitable for embedded and battery-aware deployments.
Notably, existing Jetson Orin Nano hardware can reach the "Super" performance level through a software update, meaning the performance improvement does not require new silicon.
What It Can Run
The 67 TOPS figure is sufficient to execute a range of modern AI workloads at the edge:
- Small large language models (LLMs) and vision-language models, run entirely on-device
- Vision transformers (ViTs) for image classification, object detection, and segmentation
- Robotics perception pipelines, combining sensor fusion, depth estimation, and real-time control
Software Stack
The kit runs JetPack, NVIDIA's Linux-based SDK for Jetson, which bundles CUDA, TensorRT, cuDNN, and other acceleration libraries. Because this software stack is shared across the entire Jetson Orin lineup — including the more powerful Orin NX and AGX Orin modules — models and pipelines developed on the Nano Super can be migrated to higher-tier hardware without rewriting application code.
Typical Use Cases and Users
- Students and educators learning embedded AI, computer vision, and robotics
- Makers and hobbyists building smart camera systems, autonomous vehicles, or voice AI devices
- Engineers and researchers prototyping edge AI applications before committing to a production module
- Small-scale generative AI pilots where on-device inference is preferred for latency, privacy, or connectivity reasons
Specifications
| CPU | 6-core Arm |
| GPU | 1024-core Ampere + 32 Tensor cores |
| Power | 7–25 W configurable |
| Memory | 8 GB LPDDR5 (102 GB/s) |
| Software | JetPack / CUDA / TensorRT |
| AI performance | up to 67 TOPS (INT8) |