NVIDIA Jetson Orin Nano Super ($249 67-TOPS Ampere & 102GB/s LPDDR5) & BeagleBoard BeagleY-AI ($70 50g Open-Hardware TI AM67A 4-TOPS DSP + 800MHz R5F) Comparison
Memory-bandwidth, CUDA TensorRT-LLM, and deterministic real-time I/O breakdown of the $249 NVIDIA Jetson Orin Nano Super Developer Kit (176g carrier+SoM delivering 67 Sparse INT8 TOPS via 1,024 Ampere CUDA + 32 Tensor Cores, 8GB 128-bit LPDDR5 at 102 GB/s, dual M.2 NVMe, and 7W–25W JetPack 6) and the $70 BeagleBoard.org BeagleY-AI (50g 85×56mm open-hardware TI AM67A SBC with 4-TOPS dual C7x MMA DSPs, 800MHz Cortex-R5F real-time MCU, 4GB LPDDR4, and triple concurrent displays).
⚡ Key Engineering & Supply-Chain Takeaways
- NVIDIA Jetson Orin Nano Super Developer Kit ($249, ~176g, 103×90.5×34.8mm) unlocks 67 Sparse INT8 TOPS (1,024 Ampere CUDA + 32 Tensor Cores) and 102 GB/s bandwidth across 8GB 128-bit LPDDR5 inside configurable 7W, 15W, and 25W MAXN modes.
- Integrates dual M.2 Key M PCIe NVMe SSD slots, two 22-pin MIPI CSI-2 camera interfaces, four 10Gbps USB 3.2 Gen 2 ports, and Day-1 CUDA / TensorRT-LLM / Ollama / Isaac ROS support.
- BeagleBoard.org BeagleY-AI ($70, 50g, 85×56mm) ships as 100% open-source hardware powered by Texas Instruments' AM67A SoC—combining 4.0 TOPS dual C7x DSP Matrix Multiply Accelerators with an 800MHz Cortex-R5F real-time MCU, 4GB LPDDR4, PCIe Gen 3 x1, 2× MIPI CSI, triple display buses, and Wi-Fi 6 / BT 5.4.
🔬 Technical & Supply-Chain Specification Matrix
| Jetson Orin Nano Super ($249) | 103×90.5mm / 176g / 6C Cortex-A78AE + 1,024 CUDA / 32 Tensor Cores (67 INT8 TOPS @ 7W–25W) |
|---|---|
| Orin Nano Memory, NVMe & Stack | 8GB 128-Bit LPDDR5 (102 GB/s) + 2× M.2 NVMe + 2× CSI-2 + 4× 10G USB 3.2 / CUDA & TensorRT-LLM |
| BeagleBoard BeagleY-AI ($70) | 85×56mm / 50g Open-Hardware PCB / TI AM67A (4× A53 + Dual C7x 4-TOPS MMA + 800MHz R5F MCU) |
| BeagleY-AI Vision, Display & I/O | 4GB LPDDR4 + PCIe Gen3 x1 + 2× CSI-2 + microHDMI/OLDI-LVDS/DSI + Wi-Fi 6 / BT 5.4 + 1GbE |
$249 67-TOPS 102 GB/s CUDA/TensorRT-LLM DevKits vs $70 50g Open-Hardware TI AM67A Real-Time Vision SBCs
Official specifications from NVIDIA and BeagleBoard.org highlight two foundational sub-$250 edge AI developer platforms:
- NVIDIA Jetson Orin Nano Super ($249, 176g): Combines 67 Sparse INT8 TOPS (1,024 CUDA + 32 Tensor Cores), 8GB 128-bit LPDDR5 @ 102 GB/s, dual M.2 NVMe + dual CSI-2, and 7W–25W JetPack 6 / TensorRT-LLM.
- BeagleBoard BeagleY-AI ($70, 50g, 85×56mm): Pairs 100% open-source hardware files and TI's AM67A (4-TOPS dual C7x DSP/MMA + 800MHz Cortex-R5F real-time MCU) with triple display outputs, PCIe Gen 3, and Wi-Fi 6 / BT 5.4.
🔗 Related AI Hardware in RECIWO Database
All 183 Devices →NVIDIA Jetson Orin Nano Super Developer Kit ($249 67-TOPS Ampere GPU, 8GB 102GB/s LPDDR5 & 7W–25W)
$249 compact generative AI developer kit (103×90.5×34.8mm, ~176g) pairing a 1,024-core NVIDIA Ampere GPU + 32 Tensor Cores (up to 67 Sparse / 33 Dense INT8 TOPS in 25W MAXN Super mode) and 6-core Cortex-A78AE CPU with 8GB 128-bit LPDDR5 at 102 GB/s bandwidth, dual M.2 NVMe slots, dual 22-pin MIPI CSI-2 camera lanes, and full CUDA / TensorRT-LLM / Isaac ROS support.
BeagleBoard.org BeagleY-AI ($70 50g Open-Hardware TI AM67A 4-TOPS Dual-C7x DSP & Cortex-R5F SBC)
$70, 50-gram (85×56mm) 100% open-hardware single-board computer powered by the automotive/industrial-grade Texas Instruments AM67A Jacinto 7 SoC—uniting quad Cortex-A53 Linux cores, dual C7x DSPs with 4-TOPS Matrix Multiply Accelerators, a deterministic 800MHz Cortex-R5F real-time MCU, 4GB LPDDR4, PCIe Gen 3 x1, dual MIPI CSI cameras, triple concurrent display buses, and Wi-Fi 6 / BT 5.4.
Orange Pi 5 Ultra (89×56mm RK3588 6-TOPS NPU, 16GB LPDDR5, 4K60 HDMI-In, Wi-Fi 6E & PCIe 3.0 x4 SBC)
60.5-gram (89×56mm) credit-card-class single-board computer packing the full 8nm Rockchip RK3588 SoC (8-core Cortex-A76/A55 + 6-TOPS NPU), up to 16GB LPDDR5 RAM, unsplit M.2 2280 PCIe 3.0 x4 NVMe storage, full-size HDMI 2.0 4K60 video input + HDMI 2.1 8K60 output, onboard Wi-Fi 6E / BT 5.3, and 2.5GbE.
Raspberry Pi AI HAT+ 2 (Hailo-10H 40 TOPS + 8GB RAM)
Second-generation official Raspberry Pi 5 GenAI HAT pairing the 40-TOPS (INT4) Hailo-10H neural processor with 8GB of dedicated onboard LPDDR4X memory—running 1.5B–3B local LLMs and VLMs at 3 Watts without touching host Pi RAM.
📚 Related Deep-Dive Engineering Teardowns
Browse All 158 Articles →NVIDIA Jetson Orin Nano Super ($249 67-TOPS Ampere & 102GB/s LPDDR5) vs BeagleY-AI ($70 50g Open-Hardware TI AM67A 4-TOPS DSP + 800MHz R5F) vs Orange Pi 5 Ultra Comparison: CUDA VLM vs Real-Time PLC
A technical memory-bandwidth, TensorRT-LLM vs C7x-DSP, and deterministic real-time I/O comparison of the NVIDIA Jetson Orin Nano Super Developer Kit ($249, 176g carrier+SoM delivering 67 Sparse INT8 TOPS via 1,024 Ampere CUDA + 32 Tensor Cores, 8GB 128-bit LPDDR5 at 102 GB/s, dual M.2 NVMe, and 7W–25W JetPack 6), BeagleBoard.org BeagleY-AI ($70, 50g 85×56mm open-hardware TI AM67A SBC with 4-TOPS dual C7x MMA DSPs, 800MHz Cortex-R5F real-time MCU, 4GB LPDDR4, and 3× display buses), and Orange Pi 5 Ultra ($119).
Orange Pi 5 Ultra ($119 89×56mm RK3588 LPDDR5, 4K60 HDMI-In & Wi-Fi 6E) vs M5Stack LLM630 ($99 23.6g AX630C 12.8-TOPS INT4 Offline LLM Kit) vs Radxa ROCK 5B+ Comparison: Compact SBC vs 3W NPU
A technical memory-bandwidth, video-capture, and sub-3W Transformer-NPU comparison of the Orange Pi 5 Ultra ($119, 60.5g 89×56mm RK3588 SBC packing a 6-TOPS NPU, 16GB LPDDR5, PCIe 3.0 x4 NVMe, 4K60 HDMI-In + 8K60 HDMI-Out, Wi-Fi 6E, and 2.5GbE), M5Stack LLM630 Compute Kit ($99.90, 23.6g AXERA AX630C devkit delivering 3.2 INT8 / 12.8 INT4 TOPS with 4GB LPDDR4, 32GB eMMC, ESP32-C6 Wi-Fi 6, and StackFlow offline Qwen2.5/Whisper/YOLO11), and Radxa ROCK 5B+ ($149).
Seeed reComputer J4012 ($1,199 Jetson Orin NX 16GB 100-TOPS Box) vs Radxa ROCK 5B+ ($149 RK3588 24GB/32GB LPDDR5 & Dual M.2 SBC) vs LattePanda Mu Ultra Comparison: CUDA vs Dual-M.2 ARM
A technical TensorRT-CUDA, memory-bus, and PCIe-expansion comparison of the Seeed Studio reComputer J4012 ($1,199, 700g industrial aluminum edge AI box powered by NVIDIA Jetson Orin NX 16GB delivering 100 INT8 TOPS with 1,024 Ampere CUDA cores, 32 Tensor Cores, 16GB LPDDR5 at 102.4 GB/s, pre-flashed 128GB NVMe SSD, and CAN bus), Radxa ROCK 5B+ ($149, 100×75mm RK3588 SBC upgraded with up to 24GB/32GB LPDDR5, 6-TOPS NPU, dual M.2 PCIe 3.0 x2 slots, Wi-Fi 6, and 4K60 HDMI-In), and LattePanda Mu Ultra ($499).
