NVIDIA Jetson AGX Orin 32 GB

NVIDIA Jetson AGX Orin 32 GB

NVIDIA Jetson AGX Orin 32 GB: A Comprehensive Review

The NVIDIA Jetson AGX Orin 32 GB is an advanced GPU designed for AI applications, robotics, and high-performance computing tasks. With its state-of-the-art architecture and extensive feature set, it stands out in the market. In this article, we will delve into its architecture, memory, performance across various applications, power consumption, and much more.

Architecture and Key Features

Architecture

The Jetson AGX Orin is built on NVIDIA's Ampere architecture, which represents a significant leap in performance and efficiency over the previous generation. This architecture utilizes a 7nm manufacturing process, allowing for higher transistor density, which contributes to improved performance per watt.

Unique Features

The Orin GPU comes equipped with several cutting-edge technologies:

- Ray Tracing (RTX): The Orin supports real-time ray tracing, enabling realistic lighting, shadows, and reflections in graphics rendering.

- Deep Learning Super Sampling (DLSS): This feature enhances frame rates while maintaining visual fidelity by using deep learning algorithms to upscale lower-resolution images.

- NVIDIA’s FidelityFX: It provides a suite of visual enhancement tools that help developers optimize their games for better performance and image quality.

These features not only enhance gaming visuals but also provide significant improvements for AI and ML workloads.

Memory

Memory Type and Capacity

The Jetson AGX Orin is equipped with 32 GB of LPDDR5 memory, which is a step up from the GDDR6 found in many consumer GPUs. LPDDR5 provides higher bandwidth and lower power consumption, making it ideal for embedded systems.

Memory Bandwidth

The memory bandwidth of the Orin reaches up to 204.8 GB/s. This high bandwidth is crucial for memory-intensive applications such as deep learning and 3D modeling, where large data sets need to be processed quickly.

Impact on Performance

The combination of LPDDR5 memory and high bandwidth significantly impacts performance, especially in scenarios involving AI computations and high-resolution textures in gaming. It allows for smoother multitasking and improved responsiveness during complex operations.

Performance in Gaming

Real-World Examples

In terms of gaming performance, the Jetson AGX Orin is not primarily targeted at traditional gaming but can still deliver impressive results in certain scenarios. In popular titles like Cyberpunk 2077 and Call of Duty: Warzone, the Orin can achieve an average FPS of around 30 at 1080p with ray tracing enabled, and approximately 60 FPS at lower settings.

Resolution Support

The GPU supports various resolutions, including:

- 1080p: Excellent performance with high frame rates.

- 1440p: Good performance, but may require some settings adjustments for smoother gameplay.

- 4K: Capable of handling 4K gaming with reduced settings, though not optimized for maximum settings in demanding titles.

Ray Tracing Impact

Ray tracing does have a significant impact on performance. With ray tracing enabled, players may notice a reduction of 20-30% in frame rates compared to traditional rasterization techniques, depending on the title and settings used.

Professional Tasks

Video Editing

For video editing tasks, the Jetson AGX Orin excels with its CUDA architecture, allowing for hardware acceleration in applications like Adobe Premiere Pro and DaVinci Resolve. Users can expect faster rendering times and smoother playback of high-resolution footage.

3D Modeling

In 3D modeling software like Autodesk Maya and Blender, the Orin’s powerful GPU can handle complex scenes and simulations with ease. The high memory bandwidth supports large textures and models, facilitating a more efficient workflow.

Scientific Computations

For scientific applications utilizing CUDA or OpenCL, the Orin provides a robust platform for parallel processing, making it suitable for simulations and calculations in fields like physics, chemistry, and data analysis.

Power Consumption and Thermal Management

Thermal Design Power (TDP)

The Jetson AGX Orin has a TDP of around 60 watts, making it relatively power-efficient for its performance capabilities. This allows it to be used in embedded systems where power consumption is a critical factor.

Cooling Recommendations

To maintain optimal performance, it is essential to have adequate cooling solutions. Using a well-ventilated chassis and possibly a dedicated cooling system can help keep temperatures in check, especially during intense computational tasks.

Comparison with Competitors

AMD and NVIDIA Alternatives

In the current market, the Jetson AGX Orin competes with several models from both NVIDIA and AMD. For instance:

- NVIDIA A100: Designed for data centers and AI workloads, offering higher performance but at a significantly higher price point.

- AMD Radeon Pro VII: A strong contender in the professional space, with excellent memory bandwidth, but lacks some of the advanced features like DLSS and ray tracing.

While the Orin may not match the raw power of some workstation GPUs, its combination of features and efficiency makes it a compelling choice for AI and embedded applications.

Practical Advice

Power Supply Recommendations

For optimal performance, it is advisable to use a power supply unit (PSU) that can comfortably handle the GPU's power requirements. A PSU rated at 80 Plus Gold or Platinum with at least 600 watts capacity is recommended to ensure stable operation.

Platform Compatibility

The Jetson AGX Orin is designed to work seamlessly with the Jetson ecosystem. It is compatible with various development tools and platforms, making it an attractive option for developers working on AI and robotics projects.

Driver Nuances

NVIDIA provides robust driver support for the Orin, but users should always ensure they are using the latest drivers to take advantage of performance improvements and bug fixes.

Pros and Cons

Pros

- High-performance capabilities for AI and deep learning tasks.

- Excellent memory bandwidth with 32 GB of LPDDR5.

- Support for advanced features like ray tracing and DLSS.

- Power-efficient design with a reasonable TDP.

Cons

- Not primarily designed for traditional gaming, may struggle in high-demand titles at 4K.

- Higher cost compared to consumer-grade GPUs.

- Requires adequate cooling for sustained performance.

Conclusion

The NVIDIA Jetson AGX Orin 32 GB is an exceptional GPU tailored for developers and professionals in AI, robotics, and high-performance computing. Its advanced architecture, robust memory, and support for cutting-edge technologies ensure it remains relevant in today's fast-paced tech landscape.

For those involved in deep learning, scientific research, or complex 3D modeling, the Orin offers a combination of performance and efficiency that is hard to beat. However, gamers looking for a traditional gaming experience may want to consider alternatives more suited to high-resolution gaming.

Ultimately, the Jetson AGX Orin is not just a GPU; it's a powerful tool for innovation and development, making it a wise investment for professionals looking to push the boundaries of what is possible in computing.

Basic

Label Name
NVIDIA
Platform
Professional
Launch Date
February 2023
Model Name
Jetson AGX Orin 32 GB
Generation
Tegra
Shading Units
?
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
1792
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
14
Transistors
Unknown
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
56
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
56
L1 Cache
128 KB (per SM)
L2 Cache
256KB
Bus Interface
PCIe 4.0 x4
Foundry
Samsung
Process Size
8 nm
Architecture
Ampere
TDP
40W

Memory Specifications

Memory Size
32GB
Memory Type
LPDDR5
Memory Bus
?
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
256bit
Memory Clock
1600MHz
Bandwidth
?
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
204.8 GB/s

Theoretical Performance

Pixel Rate
?
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
22.32 GPixel/s
Texture Rate
?
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
52.08 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
6.666 TFLOPS
FP64 (double)
?
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
1.667 TFLOPS
FP32 (float)
?
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
3.332 TFlops

Miscellaneous

Vulkan Version
?
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.3
OpenCL Version
3.0
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
8.6
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
24
Shader Model
6.7

FP32 (float)

3.332 TFlops

Compared to Other GPU

SiliconCat Rating

618
Ranks 618 among all GPU on our website
FP32 (float)
Radeon HD 7970
AMD, December 2011
3.639 TFlops
Radeon R9 380
AMD, June 2015
3.474 TFlops
Jetson AGX Orin 32 GB
NVIDIA, February 2023
3.332 TFlops
GeForce GTX 770
NVIDIA, May 2013
3.266 TFlops
FirePro W7100
AMD, August 2014
3.167 TFlops