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NVIDIA Elite Partner
The Auvidea development systems have been specifically designed for the NVIDIA® Jetson™ family of compute modules. These are Linux based compute modules with multiple core ARM cores, camera ISP, hardware video encoders/decoders and an embedded GPU specifically for AI processing and inferencing on the edge in embedded systems.
These development systems are targeted to professionals who would like to develop and test software for AI based products, and also for students and enthusiasts to learn more about AI.
The Auvidea development systems include Jetson modules with integrated eMMC flash, instead of the micro SD car slot present in the NVIDIA Jetson developer kits. These development systems are industrial strength and may be deployed in products targeted for production.
Boot from SSD
All Auvidea development systems are designed so that they can be booted from SSD. They have fast boot times and a boot partition of practically unlimited size. To fit the entire suite of software tools and SDKs provided by NVIDIA, Auvidea strongly encourages the users to fit an NVME SSD of 128 GByte or more to boot from this SSD and to have plenty of storage capacity in the boot partition available.
X230D development system for the AGX Orin
With this high performance development system you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT software libraries, the development system provides all the tools you need to get started right away. It comes with the 32GB AGX Orin production module. Port muxing: config 2. Mechanically compatible to the X22x carrier boards for the AGX Xavier.
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X221 development system for the AGX Xavier
With this high performance development system you can easily create and deploy end-to-end AI robotics applications for manufacturing, delivery, retail, smart cities, and more. Supported by NVIDIA JetPack and DeepStream SDKs, as well as CUDA®, cuDNN, and TensorRT software libraries, the development system provides all the tools you need to get started right away. It comes with the 32GB or 64GB AGX Xavier production module and optionally a 128GB NVME SSD. The typical power consumption is 30 watts.
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JNX30D development system for Xavier NX
The Xavier™ NX based development system brings supercomputer performance to the edge. It allows developing multi-modal AI applications with the NVIDIA software stack in as little as 10 watts. You can also now take advantage of cloud-native support to more easily develop and deploy AI software to edge devices. It comes with the production Xavier NX module with 16GB eMMC flash and 8 or 16GB RAM. The typical power consumption is 10 watts. This development system is also compatible with the Jetson Nano and TX2 NX modules.
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JN30D development system for the Nano
This entry level development system is ideal for teaching, learning, and developing AI and robotics. It is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. It comes with the 4GB Nano production module and optionally a 128GB NVME SSD. Power is provided by a USB-C power adapter and the power consumption is typically 5 watts. We also offer a high quality development system with the JNX30D included.
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Evaluation systems
Auvidea also provides different evaluation systems to explore more specific use cases. These include multi module carrier boards with the Jetson Xavier NX module, integrated network switches with PoE, multiple USB or camera ports and camera ports with cable extension (FPD Link III).
NVIDIA, the NVIDIA logo, Jetson, Jetson Nano and Xavier NX are registered trademarks and/or trademarks of NVIDIA Corporation in the United States and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.
You can order the compute modules from the NVIDIA Jetson product family from us together with the carrier board that suits your requirements. We would be happy to advise you on which carrier board and which compute module suits your requirements best.
In the following list you will find the respective NVIDIA Jetson Compute Module with its product features and specifications.
| Compute Module | No. | AI performance | GPU | memory | camera | video-encoding | video-decoding | PCIe | Networking | Power consumption |
| Jetson Orin NX 8 GB | 900-13767-0010-000 | 70 TOPs | GPU NVIDIA Ampere with 1024 Cores (with 32 Tensor Cores) | 8 GB 128 bits LPDDR5 102,4 GB/s | up to 4 cameras (8 via virtual chains) 8 channels MIPI CSI-2 D-PHY 1.2 (up to 20 Gbit/s) | 1x 4K @ 60 (H.265) 3x 4K @ 30 (H.265) 6x 1080p @ 60 (H.265) 12x 1080p @ 30 (H.265) | 1x 8K @ 30 (H.265) 2x 4K @ 60 (H.265) 4x 4K @ 30 (H.265) 9x 1080p @ 60 (H.265) 18x 1080p @ 30 (H.265) | 1 x4 + 3 x1 (PCIe Gen4, Root Port and Endpoint) | 1x GbE | 10 W | 15 W | 20 W |
| Jetson Orin NX 16 GB | 900-13767-0000-000 | 100 TOPs | GPU NVIDIA Ampere with 1024 Cores (with 32 Tensor Cores) | 16 GB 128 bits LPDDR5 102,4 GB/s | up to 4 cameras (8 via virtual chains) 8 channels MIPI CSI-2 D-PHY 1.2 (up to 20 Gbit/s) | 1x 4K @ 60 (H.265) 3x 4K @ 30 (H.265) 6x 1080p @ 60 (H.265) 12x 1080p @ 30 (H.265) | 1x 8K @ 30 (H.265) 2x 4K @ 60 (H.265) 4x 4K @ 30 (H.265) 9x 1080p @ 60 (H.265) 18x 1080p @ 30 (H.265) | 1 x4 + 3 x1 (PCIe Gen4, Root Port and Endpoint) | 1x GbE | 10 W | 15 W | 25 W |
| Jetson Orin AGX 32 GB | 900-13701-0040-000 | 200 TOPs | GPU NVIDIA Ampere with 1792 Cores (with 56 Tensor Cores) | 32 GB 256 bits LPDDR5 204,8 GB/s | up to 6 cameras (16 via virtual chains) 16 channels MIPI CSI-2 D-PHY 1.2 (bis zu 40 Gbit/s) | C-PHY 1.1 (up to 164 Gbit/s) | 1x 4K @ 60 (H.265) 3x 4K @ 30 (H.265) 6x 1080p @ 60 (H.265) 12x 1080p @ 30 (H.265) | 1x 8K @ 30 (H.265) 2x 4K @ 60 (H.265) 4x 4K @ 30 (H.265) 9x 1080p @ 60 (H.265) 18x 1080p @ 30 (H.265) | up to 2 x8 + 2 x4 + 2 x1 (PCIe Gen4, Root Port and Endpoint) | 1x GbE 4x 10GbE | 15 W | 20 W | 50 W |
| Jetson Orin AGX 64 GB | 900-13701-0050-000 | 275 TOPs | GPU NVIDIA Ampere with 2048 Cores (with 64 Tensor Cores) | 64 GB 256 bits LPDDR5 204,8 GB/s | up to 6 cameras (16 via virtual chains) 16 channels MIPI CSI-2 D-PHY 1.2 (bis zu 40 Gbit/s) | C-PHY 1.1 (up to 164 Gbit/s) | 2x 4K @ 60 (H.265) 4x 4K @ 30 (H.265) 8x 1080p @ 60 (H.265) 16x 1080p @ 30 (H.265) | 1x 8K @ 30 (H.265) 3x 4K @ 60 (H.265) 7x 4K @ 30 (H.265) 11x 1080p @ 60 (H.265) 22x 1080p @ 30 (H.265) | up to 2 x8 + 2 x4 + 2 x1 (PCIe Gen4, Root Port and Endpoint) | 1x GbE 4x 10GbE | 15 W | 30 W | 60 W |
| Jetson Xavier NX 16 GB | 900-83668-0030-000 | 21 TOPs | GPU NVIDIA Volta™ with 384 Cores (with 48 Tensor Cores) | 16 GB 128 bits LPDDR4x 59,7 GB/s | up to 6 cameras (24 via virtual chains) 14 channels MIPI CSI-2 D-PHY 1.2 (up to 30 Gbit/s) | 2x 4K @ 60 (H.265) 10x 1080p @ 60 (H.265) 22x 1080p @ 30 (H.265) | 2x 8K @ 30 (H.265) 6x 4K @ 60 (H.265) 22x 1080p @ 60 (H.265) 44x 1080p @ 30 (H.265) | 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4) | Ethernet 10/100/1000BASE-T | 10 W | 15 W | 20 W |
| Jetson Xavier NX | 900-83668-0000-000 | 21 TOPs | GPU NVIDIA Volta™ with 384 Cores (with 48 Tensor Cores) | 8 GB 128 bits LPDDR4x 59,7 GB/s | up to 6 cameras (24 via virtual chains) 14 channels MIPI CSI-2 D-PHY 1.2 (up to 30 Gbit/s) | 2x 4K @ 60 (H.265) 10x 1080p @ 60 (H.265) 22x 1080p @ 30 (H.265) | 2x 8K @ 30 (H.265) 6x 4K @ 60 (H.265) 22x 1080p @ 60 (H.265) 44x 1080p @ 30 (H.265) | 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4) | Ethernet 10/100/1000BASE-T | 10 W | 15 W | 20 W |
| Jetson TX2 4 GB | 900-83489-0080-000 | |||||||||
| Jetson TX2 8 GB | 900-83310-0001-000 | |||||||||
| Jetson TX2 NX | 900-13636-0010-000 | |||||||||
| Jetson Nano | 900-13448-0020-000 | |||||||||
| Jetson Xavier 32 GB | 900-82888-0040-000 | |||||||||
| Jetson Xavier 64 GB | 900-82888-0050-000 | |||||||||
| Jetson Orin Nano 4GB | 900-13767-0040-000 | |||||||||
| Jetson Orin Nano 8 GB | 900-13767-0030-000 |
