A205_E carrier board

Leetop A205E Carrier Board Nvidia Jetson Nano / Xavier NX Take supercomputer performance to the edge.




Small Size. Small Price. Big AI Discoveries.

Leetop A205E, based on discover the power of AI and robotics with NVIDIA® Jetson . It’s small, powerful, and priced for everyone . This means educators, students, and other enthusiasts can now easily create projects with fast and efficient AI using the entire GPU-accelerated NVIDIA software stack.

The Leetop A205E benefits from new cloud-native support across the entire Jetson platform line-up, making it easier to build, manage, and deploy AI at the edge.

Pre-trained AI models from NVIDIA NGC together with the NVIDIA Transfer Learning Toolkit, provides a faster path to trained and optimized AI networks. Containerized deployment to Jetson devices also allows flexible and seamless updates.

NVIDIA JetPack™ SDK enables multi-modal AI application development for Leetop A205E with accelerated libraries supporting all major AI frameworks, as well as computer vision, computer graphics, multimedia, and more. Together with the latest NVIDIA tools for application development and optimization, JetPack ensures fast time to market and reduced development costs.

Designed for ease of development and speed of deployment, Leetop is the most flexible and scalable platform to get to market and continuously update AI software over the lifetime of a product.



Network2 x Gigabit Ethernet Connector (10/100/1000)CameraCamera Connector (2x60, 0.5mm pitch)
Video Output2 x HDMI 2.0 (TYPE A)TF_CARDTF_CARD
USB4x USB 3.0 Type A (Integrated USB 2.0) 1x USB 2.0 Type CUSB 2.0ZIF 20P 0.5mm pitch

1X SPI Bus(+3.3V Level) 1 x FAN(5V PWM); 1x CAN,

1 x RS485 ;1 x RS232

2x I2C Link(+3.3V I/O)

1X SPI Bus(+3.3V Level)


Power Requirements

1x M.2 KEY M (NVMe SSD)

+9V to +19V DC Input @ 3A


ProcessorNVIDIA Jetson Xavier NXNVIDIA Jetson NanoNVIDIA Jetson Orin NX
AI Performance21 TOPS (INT8)472 GFLOPsUp to 100 (S) INT8 TOPs and 50 (D) INT8 TOPs
GPU384-core NVIDIA Volta™ GPU with 48 Tensor CoresNVIDIA Maxwell architecture with 128 NVIDIA CUDA® coresNVIDIA Ampere Architecture with 1024 NVIDIA CUDA cores and 32 Tensor cores
GPU Max Freq1100 MHz
1 GHz
CPU6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3Quad-core ARM Cortex-A57 MPCore processor8-core NVIDIA A78 CPU
CPU Max Freq2-core @ 1900MHz 4/6-core @ 1400Mhz
2 GHz
Memory8 GB 128-bit LPDDR4x @ 1866MHz 59.7GB/s4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s12 GB, 102 GB/s
Storage16 GB eMMC 5.116 GB eMMC 5.1External (i.e. NVMe using x1 PCIe)
Power10W|15W|20W5W |10W10W|15W|25W
PCIe1 x1 + 1x4 (PCIe Gen3, Root Port & Endpoint)1 x4 (PCIe Gen2)3 x1 + 1 x4 or 2 x1 + 1 x2 + 2 x4, all Gen4. x1 and x2 support Root Port only. x4 supports
CSI CameraUp to 6 cameras (36 via virtual channels) 12 lanes MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps)Up to 4 cameras 12 lanes MIPI CSI-2 D-PHY 1.1 (up to 18 Gbps)8 lanes (2x4 or 4x2) MIPI CSI-2 D-PHY 1.2 (2.5 Gb/s per pair)
Video Encode

2x 4K60 |4x 4K30 |10x 1080p60 | 22x 1080p30 (H.265)

 2x 4K60 |4x 4K30 |10x 1080p60 | 20x 108p30 (H.264)


1x 4K @ 30 (HEVC) 

2x 1080p @ 60 (HEVC) 

4x 1080p @ 30 (HEVC) 

4x 720p @ 60 (HEVC) 

9x 720p @ 30 (HEVC)


1x8K30 2x4K60 4x4K30 

9x1080p60 18x1080p30 


1x8K30 2x4K60 6x4K30 

12x1080p60 24x1080p30 


1x4K60 2x4K30 6x1080p60 12x1080p30 

VP9 24x1080p30

Video Decode

2x 8K30 |6x 4K60 |12x 4K30 |

22x 1080p60 |44x 1080p30 (H.265)

2x 4K60 |6x 4K30 |10x 1080p60 |22x 1080p30 (H.264) 

2 x4K30 |6x1080p60 |14x1080p30(VP9)

(AV1)1x4K30 |3x1080p60 |6x1080p30

(H.264/H.264)1x4K60 |2x4K30 |6x1080p60 |14x1080p30

Display2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0HDMI 2.0 and eDP 1.4One multi-mode (8K60, 2x4K60), (e)DP 1.4 (HBR3, MST, DSCT), HDMI™ 2.1
DL Accelerator2x NVDLA Engines
2x NVDLA Engines, v2
Vision Accelerator7-Way VLIW Vision Processor
7-Way VLIW Vision Processor, v2
Networking10/100/1000 BASE-T Ethernet10/100/1000 BASE-T Ethernet10/100/1000 Mbit