Designed for robotics applications, the reComputer Mini J501 is an Edge AI computer powered by an NVIDIA Jetson AGX Orin 64GB or 32GB module, delivering up ot 275 TOPS of AI performance.
The computer features 10GbE and GbE RJ45 ports, HDMI 2.1 video output, two USB 3.2 ports, two USB 2.0 Type-C Debug/Recovery ports, a 128 M.2 NVMe SSD, two FAKRA connectors for up to eight GMSL2 cameras, and a range of other I/O connectors.
reComputer Mini J501 specifications:
- System-on-module (one or the other)
- NVIDIA Jetson AGX Orin 32GB (reComputer Mini J5011 model)
- CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache
- GPU and AI
- NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 930 MHz
- DL Accelerator – 2x NVDLA Engines @ up to 1.4 GHz
- Up to 200 TOPS
- Video Encode – 1x 4K60 | 3x 4K30 | 7x 1080p60 (HEVC)
- Video Decode – 1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 (HEVC)
- System memory – 32GB 256-bit LPDDR5 (204.8 GB/s)
- Storage – 64GB eMMC 5.1 flash
- NVIDIA Jetson AGX Orin 64GB (reComputer Mini J5012 model)
- CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 3MB L2 + 6MB L3 cache
- GPU and AI
- NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ 1.3 GHz
- DL Accelerator – 2x NVDLA Engines @ up to 1.6 GHz
- Up to 275 TOPS
- Video Encode – 2x 4K60 | 4x 4K30 | 8x 1080p60 (HEVC)
- Video Decode – 1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 (HEVC)
- System memory – 64GB 256-bit LPDDR5 (204.8 GB/s)
- Storage – 64GB eMMC 5.1 flash
- NVIDIA Jetson AGX Orin 32GB (reComputer Mini J5011 model)
- Storage – 128GB NVMe SSD connected to M.2 Key M slot
- Display – HDMI 2.1 port
- Camera – 8x GMSL2 via 2x FAKRA connectors using MAX96712 deserializers
- Audio – 1x I2S connector
- Networking
- 10GbE RJ45 port
- Gigabit Ethernet RJ45 port
- Optional WiFi and Bluetooth via M.2 Key-E slot (RTL8822CE Wireless NIC officially supports)
- USB
- 2x USB 3.2 Type-A (10Gbps) ports
- 1x USB 3.0 Type-C (Recovery) port
- 1x USB 2.0 Type-C (Debug) port
- Serial
- 2x CAN Bus (CAN-FD supported) connectors
- RS485 connector
- Up to 4x UART (via DO)
- Expansion – 4x DI, 4x DO (DO can be configured as UART) connectors
- Misc
- Reset and Recovery buttons/pinholes
- Power, User, SSD LEDs
- 4-pin fan connector (12V PWM)
- 2-pin RTC battery connector
- Mounting: desk or wall-mounting
- Power Supply – 19-48V DC via XT30 Connector
- Dimensions – 119 x 119 x 100 mm
- Weight – 1.35 kg
- Temperature Range – -10°C to 60°C
- Certifications – RoHS, CE, FCC, KC Vibration Test(GB/T 2423)
If the specifications above look familiar, it’s because the reComputer Mini J501 is based on the carrier board used in the reComputer Jetson AGX Orin Developer Kit GMSL Bundle launched in February 2026. Applications include humanoid robots, AI robot development, sensor fusion for autonomous mapping & navigation, generative AI at the edge, and more.
The reComputer Mini J501 embedded box PC is supported by Jetpack 6.2 and greater. I could not find software documentation specific to the system, but you’ll find instructions to get started and more technical details on the wiki for the carrier board. It’s also supported by the reComputer AI lab with a range of optimized edge AI model demos for computer vision, LLM, VLM, speech-to-text (STT), and text-to-speech (TTS).
I first found the reComputer Mini J5011 and reComputer Mini J5012 on AliExpress for $2,933.32 and $4,754.64, respectively. However, the company sells the computers for lower prices on its own store for $2,399 and $3,899 during its early bird promotion, which ends on August 10.
The kit ships with the carrier board, enclosure, Jetson AGX Orin 32GB/64GB module, a GMSL extension board (GMSL x8), a 128GB NVMe SSD, an XT30 to DC jack power cable, a USB Type-C to Type-A cable, 4-pin and 6-pin JST cables, and a user manual.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
Support CNX Software! Donate via cryptocurrencies, become a Patron on Patreon, or purchase goods on Amazon or Aliexpress. We also use affiliate links in articles to earn commissions if you make a purchase after clicking on those links.
