Nvidia Jetson Orin vs Nvidia Jetson Xavier : Why is Orin superior?

Nvidia Jetson Xavier vs Nvidia Jetson Orin

One of the best-performing autonomous machines in the world is the incredibly small NVIDIA Jetson system. These advanced machines are ideal for cutting-edge AI and deep learning applications requiring high-end computing power in compact form factors. With an impressive array of high-performance features and capabilities, these miniature systems are revolutionizing the field of autonomous robotics and powering the development of innovative new technologies.

Once more rising to the challenge, Nvidia has introduced the Nvidia Jetson Orin generation of modules, which outperforms earlier generations like the Nvidia Jetson Xavier by up to 8 times. Let’s take a closer look at the comparison between the Nvidia Jetson Orin and Nvidia Jetson Xavier in this article.

What is NVIDIA Jetson Orin?

The NVIDIA Jetson Orin modules are the perfect option for developing tomorrow’s autonomous robot-based goods because of their power, performance, and low consumption. They can perform up to 8 times better than Jetson Xavier and deliver up to 275 TOPS of power. In addition, the modular design of the Jetson Orin allows for scalability and flexibility in building customized solutions. With its advanced capabilities, the module is set to revolutionize the market for autonomous robotics.

Deploying advanced robotics applications in industries like smart city development, distribution, agriculture, logistics, industrial production, and healthcare becomes even simpler and faster with the Jetson AGX Orin development kit.

What is NVIDIA Jetson Xavier?

The NVIDIA Jetson AGX Xavier sets new benchmarks for compute density, energy efficiency, and AI inference capabilities in edge computing. It provides unmatched performance because of its 512-core Volta GPU, 64 Tensor Cores, 8-core NVIDIA Carmel ARM v8.2 64-bit CPU, and two NVIDIA engines. With a compact, fanless design, it can handle even the most challenging AI workloads. It signifies the advancement of the following generation of intelligent robots with complete end-to-end autonomy.

The NVIDIA Jetson Xavier NX enables the creative development of small drones for a range of useful applications by allowing us to achieve higher performance within a more constrained size and power budget. We think the Jetson platform’s cloud-native support is a significant innovation that will aid in the development and deployment of upcoming generations of autonomous robots.

Key distinctions between NVIDIA Jetson Xavier and NVIDIA Jetson Orin

The AI performance of the Jetson AGX Orin modules can reach 275 TOPS with up to 64 GB of memory, in contrast to the Jetson Xavier’s 30 TOPS with 32 GB and 64 GB of memory. With a maximum consumption of 60W as relates to a maximum of 40 W with Jetson Xavier, the power consumption of the Jetson Orin modules is likewise unprecedentedly high.

NVIDIA Jetson Orin is equipped with twice the memory, higher multiple precision throughput, and four times the encoding and decoding performance. Additionally, it boasts a 200% increase in DRAM bandwidth, which makes it a significant improvement over the NVIDIA Jetson Xavier. In terms of power, NVIDIA Jetson Orin consumes only 45 watts of energy, making it the most energy-efficient module in its class. This makes it ideal for use in high-performance robotic applications, autonomous vehicles, and other computationally demanding applications.

Gigabit Ethernet can now be used in Jetson Orin, whereas standard Ethernet was once solely practical in Jetson Xavier. Data transmission is now done at a much faster rate. Compared to the Jetson Xavier range, it can handle several streams simultaneously up to 8 times more effectively. Interface support is also optimized with various sensors in order to better suit current trends in the area of next-generation embedded robots.

As a result, Jetson Orin is the world’s most powerful AI computer for autonomous devices, with low, highly optimized consumption.

Nvidia’s Jetson Orin vs Jetson Xavier

AI Performance  32 TOPS 200 TOPS 275 TOPS
GPU    Volta 512 Core, 64 Tensor Cores 56 tensor cores at 1792 core amps 64 tensor cores at 2048 core amps
Vision Enhancer (2x) VLIW Processor with 7-way (2x) VLIW Processor with 7-way (2x) VLIW Processor with 7-way
CPU    8-core Carmel ARM CPU 2MB L2 + 4MB L3 8 core Arm Cortex A78AE 2MB L2 + 4MB L3 8 core Arm Cortex A78AE 3MB L2 + 6MB L3
Memory         32GB/64GB 256-bit LPDDR4x @ 2133MHz 137 GB/s 32GB 256-bit LPDDR5 @ 2133MHz 205GB/s 64GB 256-bit LPDDR5 @ 2133MHz 205 GB/s
Storage 32GB eMMC 64GB eMMC 645GB eMMC
Video Encode 2x8K30 | 6x4K60 | 12x4K30 | 26x1080p60 | 52x1080p30 (HEVC) | 30x1080p30 (H.264) 1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) H.264, AV1 2x 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1, 4K60 | 4x 4K30 | 8x 1080p60
Video Decode (2x) 8Kp30 / (6x) 4Kp60 1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) H.264, VP9, AV1 1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60| 22x 1080p30 (H.265) H.264, VP9, AV1
PCI Express   16 lanes PCIe Gen 4

1×8 + 1×4 + 1×2 + 2×1

Up to 2 x8, 1 x4, 2 x1 (PCIe Gen4, Root Port & Endpoint) Up to 2 x8, 1 x4, 2 x1 (PCIe Gen4, Root Port & Endpoint)
Mechanical 100mm x 87mm

699 pin connectors

100mm x 87mm

699 pin connectors

100mm x 87mm

699 pin connectors

Power 10W / 15W / 30W 15W – 40W 15W – 60W


Summing Up

Finally, the article concluded with gratitude for Orin rather than Xavier. But how is Orin better than Xavier? Both the NVIDIA Jetson AGX Xavier and the NVIDIA Jetson AGX Orin are roughly the same size and cost, however, the NVIDIA Jetson AGX Orin is substantially more powerful. The benchmarks show that the Orin is a very promising new member of the Jetson family even with Early Access software, and we may anticipate much better results in the near future with software updates.

NVIDIA unquestionably advanced the field of embedded AI by delivering NVIDIA Jetson AGX Orin. Jetson Xavier devices are already tremendously potent and full of potential, but Orin is now setting the road for the continued development of embedded AI, enabling planning and work on more ambitious and difficult projects than were previously ever imaginable. NVIDIA has now raised the threshold for those whose performance was constrained by the number of tasks.

Vadzo engineering team is working on ensuring our embedded cameras are compatible with the Nvidia platforms to enable you to create smart and powerful imaging solutions.

If you have any questions or need some help with your project, feel free to Contact Us