NVIDIA RTX A2000 Embedded
About GPU
The NVIDIA RTX A2000 Embedded GPU is a powerful professional-grade graphics card designed for a variety of applications, including rendering, video editing, and virtualization. With a base clock of 1117MHz and a boost clock of 1612MHz, this GPU delivers impressive performance for demanding workloads.
One of the standout features of the RTX A2000 is its 8GB of GDDR6 memory, which provides ample capacity for handling large datasets and complex simulations. The memory clock speed of 1500MHz ensures that data can be transferred quickly and efficiently, contributing to overall system performance.
With 2560 shading units and 2MB of L2 cache, the RTX A2000 is able to handle complex graphics tasks with ease, providing smooth and responsive performance. Additionally, with a TDP of 60W, this GPU is designed to operate efficiently while maintaining high levels of performance.
The theoretical performance of 8.253 TFLOPS further underscores the capabilities of the RTX A2000, allowing for fast and reliable processing of graphics-intensive workloads.
In summary, the NVIDIA RTX A2000 Embedded GPU is a compelling choice for professionals in need of a high-performance graphics solution. Its combination of high memory capacity, efficient architecture, and impressive theoretical performance make it well-suited for a wide range of professional applications. Whether you are working with complex visualizations, virtual reality, or high-resolution video editing, the RTX A2000 delivers the performance and reliability you need.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
RTX A2000 Embedded
Generation
Quadro Mobile
Base Clock
1117MHz
Boost Clock
1612MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
8GB
Memory Type
GDDR6
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.
128bit
Memory Clock
1500MHz
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.
192.0 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.
77.38 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.
129.0 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.
8.253 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.
129.0 GFLOPS
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.
8.088
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.
20
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.
2560
L1 Cache
128 KB (per SM)
L2 Cache
2MB
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
8.088
TFLOPS
Blender
Score
1917
OctaneBench
Score
229
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench