NVIDIA A10G
About GPU
The NVIDIA A10G GPU is an impressive professional-grade graphics processing unit that offers a robust set of features and powerful performance capabilities. With a base clock of 1320MHz and a boost clock of 1710MHz, this GPU delivers lightning-fast processing speeds and smooth graphics rendering. The 12GB of GDDR6 memory, with a clock speed of 1563MHz, ensures ample memory capacity and high bandwidth for handling complex and graphics-intensive workloads.
One of the standout features of the A10G is its 9216 shading units, which contribute to its exceptional rendering capabilities and visual quality. Additionally, the 6MB L2 cache helps to further enhance processing speed and reduce latency, resulting in seamless performance in demanding professional applications.
With a TDP of 150W, the A10G strikes a good balance between power efficiency and high-performance computing. This makes it suitable for a range of professional applications, including CAD, 3D rendering, and scientific simulations. The theoretical performance of 31.52 TFLOPS further underscores the GPU's ability to handle complex computational tasks with ease.
Overall, the NVIDIA A10G GPU is a top-of-the-line solution for professionals in need of reliable, high-performance graphics processing. Whether for design, content creation, or scientific research, the A10G delivers the power and capabilities to meet the demands of modern professional workflows. Its impressive specifications and performance make it a compelling choice for professionals across various industries.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
April 2021
Model Name
A10G
Generation
Tesla
Base Clock
1320MHz
Boost Clock
1710MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
12GB
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.
164.2 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.
492.5 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.
31.52 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.
985.0 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.
32.15
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
32.15
TFLOPS
Blender
Score
3704
Vulkan
Score
148261
OpenCL
Score
167342
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
Vulkan
OpenCL