NVIDIA Jetson AGX Orin 64 GB
About GPU
The NVIDIA Jetson AGX Orin 64 GB GPU is a powerhouse in terms of professional-grade computing and graphics rendering. With its impressive 64GB LPDDR5 memory size and a memory clock speed of 1600MHz, this GPU delivers exceptional performance for a wide range of applications.
The 2048 shading units and 256KB L2 cache contribute to the GPU's ability to handle complex rendering tasks with ease, making it a top choice for professionals in fields such as AI, robotics, and autonomous vehicles.
Additionally, the 60W thermal design power (TDP) ensures that the GPU can operate efficiently without consuming excessive amounts of power. This is crucial for users who require sustained performance without compromising on energy consumption.
One of the standout features of the NVIDIA Jetson AGX Orin 64 GB GPU is its theoretical performance, which is rated at an impressive 5.325 TFLOPS. This level of performance makes it an ideal choice for demanding computing tasks, including real-time image processing, advanced machine learning algorithms, and high-fidelity graphics rendering.
Overall, the NVIDIA Jetson AGX Orin 64 GB GPU is a top-of-the-line choice for professionals who require unmatched performance and reliability in their computing and graphics workloads. Whether you are a developer, researcher, or engineer, this GPU has the power and capabilities to meet your most demanding requirements.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2023
Model Name
Jetson AGX Orin 64 GB
Generation
Tegra
Bus Interface
PCIe 4.0 x4
Memory Specifications
Memory Size
64GB
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.
41.60 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.
83.20 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.
10.65 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.
2.662 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.
5.432
TFLOPS
Miscellaneous
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.
16
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.
2048
L1 Cache
128 KB (per SM)
L2 Cache
256KB
TDP
60W
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
Benchmarks
FP32 (float)
Score
5.432
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS