RK3588 vs NVIDIA Jetson: Which Edge AI Platform Should You Choose?

Quick answer

Choose RK3588 when you need the best price-to-performance for 8K vision, multi-camera inference and fanless industrial boxes. Choose NVIDIA Jetson when your workload is built on CUDA / TensorRT and you need mature AI libraries or the highest TOPS in a small module. Both families are in stock at Ai-Paipai as an authorized distributor.

RK3588 vs Jetson: spec comparison

Spec Rockchip RK3588 NVIDIA Jetson (Orin Nano / NX / AGX)
CPU Octa-core: 4× Cortex-A76 + 4× Cortex-A55 6–12× Cortex-A78AE (Orin); varies by model
AI accelerator 6 TOPS NPU (built-in) 40–275 TOPS (Ampere GPU, model dependent)
GPU Mali-G610 MP4 1024-core Ampere GPU
Memory Up to 32 GB LPDDR4/LPDDR5 8–64 GB LPDDR5
Video 8K@60fps decode / 8K encode Up to 4× 4K or 8K (model dependent)
Software RKNN / OpenCL / Linux; no CUDA CUDA / TensorRT / JetPack (mature ecosystem)
Typical price $269–$499 (board/SoM) $599–$3979 (dev kit / module)
Best for Cost-sensitive edge AI, multi-camera, industrial CUDA workloads, robotics, max TOPS

RK3588 boards in stock

NVIDIA Jetson boards in stock

Which one should you pick?

Pick RK3588 if you are building a product on a budget, need 8K video or many camera inputs, or want a fanless box without paying CUDA tax. The AIBOX-3588 RK3588 Edge Fanless PC ($449.00) and Station M3 ARM Mini PC – RK3588S ($349.00) are the most popular starting points.

Pick Jetson if your team already runs CUDA/TensorRT models, needs the highest inference throughput, or is doing advanced robotics where the JetPack ecosystem saves months of work. Start with the NVIDIA Jetson Orin Nano Super Dev Kit ($599.00).

Shop all boards at Ai-Paipai: authorized distributor for Firefly, NVIDIA Jetson, Puzhi FPGA and more. Compare specs, check stock, and order with worldwide DDU shipping from Shenzhen.

Frequently Asked Questions

Is RK3588 better than Jetson Nano?

For raw AI TOPS, Jetson (even Nano Super at 40+ TOPS) beats the RK3588 NPU (6 TOPS). But RK3588 wins on overall value, 8K video and I/O, and costs far less. "Better" depends on whether you need CUDA.

Can RK3588 run YOLO and vision models?

Yes. RK3588 runs YOLO and other models via RKNN / OpenCV / ONNX on its 6 TOPS NPU, which is enough for many multi-camera detection and edge inference tasks.

Which Jetson is best for a small robot?

The Jetson Orin Nano Super Dev Kit is the most cost-effective entry, while the Orin NX (100 TOPS) suits heavier perception. Firefly carriers like the AIO-OrinNano make integration easier.

Do you ship these worldwide?

Yes. Ai-Paipai ships authorized Firefly, NVIDIA Jetson and Puzhi boards worldwide on a DDU basis from Shenzhen.


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