NVIDIA A2
About GPU
The NVIDIA A2 GPU is a powerful and efficient graphics processing unit designed for desktop systems. With a base clock speed of 1440MHz and a boost clock speed of 1770MHz, this GPU delivers exceptional performance for gaming, content creation, and other graphics-intensive tasks.
One of the standout features of the A2 GPU is its 16GB of GDDR6 memory, which provides ample capacity and high-speed data transfer for advanced graphics rendering and complex computational workloads. The memory clock speed of 1563MHz further enhances the GPU's ability to handle large datasets and intricate visual effects with ease.
With 1280 shading units and 2MB of L2 cache, the A2 GPU is capable of delivering smooth and lifelike graphics in demanding applications. Additionally, with a relatively low thermal design power (TDP) of 60W, this GPU strikes an excellent balance between performance and energy efficiency.
The A2 GPU boasts a theoretical performance of 4.531 TFLOPS, showcasing its ability to handle even the most demanding tasks with ease. Whether you're a gamer, a graphic designer, or a data scientist, this GPU is well-equipped to meet your needs.
Overall, the NVIDIA A2 GPU is a top-of-the-line graphics solution that offers exceptional performance, ample memory capacity, and energy efficiency. Whether you're building a high-end gaming rig or a professional workstation, the A2 GPU is a solid choice for demanding graphics workloads.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
November 2021
Model Name
A2
Generation
Quadro
Base Clock
1440MHz
Boost Clock
1770MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
16GB
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
1563MHz
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.
200.1 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.
56.64 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.
70.80 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.
4.531 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.
70.80 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.
4.622
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.
10
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.
1280
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
4.622
TFLOPS
Vulkan
Score
34563
OpenCL
Score
35144
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL