NVIDIA A10 PCIe
About GPU
The NVIDIA A10 PCIe GPU is a powerful and feature-rich addition to NVIDIA's professional GPU lineup. With a base clock speed of 885MHz and a boost clock speed of 1695MHz, it offers impressive performance for professional applications. The 24GB of GDDR6 memory and a memory clock speed of 1563MHz ensure that it can handle large datasets and complex workloads with ease.
One of the standout features of the A10 is its 9216 shading units, which enable it to deliver exceptional rendering and graphical performance. This makes it an ideal choice for professionals working in industries such as 3D modeling, animation, and visual effects.
The A10 PCIe GPU is also equipped with 6MB of L2 cache, which helps to further enhance its performance capabilities. With a TDP of 150W, it strikes a good balance between power efficiency and high performance, making it suitable for a wide range of professional workstations.
In terms of raw computational power, the A10 PCIe GPU offers a theoretical performance of 31.24 TFLOPS, which is truly impressive and makes it well-suited for demanding computational tasks.
Overall, the NVIDIA A10 PCIe GPU is a top-of-the-line professional GPU that offers exceptional performance, memory capacity, and power efficiency. Whether you're working on complex simulations, data analysis, or high-fidelity 3D rendering, the A10 is a solid choice that can handle it all with ease.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
April 2021
Model Name
A10 PCIe
Generation
Tesla
Base Clock
885MHz
Boost Clock
1695MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
24GB
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.
384bit
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.
600.2 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.
162.7 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.
488.2 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.
31.24 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.
976.3 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.
30.615
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.
72
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.
9216
L1 Cache
128 KB (per SM)
L2 Cache
6MB
TDP
150W
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
30.615
TFLOPS
Blender
Score
3548
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender