NVIDIA GRID A100A
About GPU
The NVIDIA GRID A100A GPU is a powerful professional graphics processing unit that delivers exceptional performance for a wide range of applications. With a base clock speed of 900MHz and a boost clock speed of 1005MHz, this GPU is capable of handling even the most demanding workloads with ease.
One of the standout features of the GRID A100A GPU is its impressive 48GB of HBM2e memory, which provides ample capacity for handling large datasets and complex simulations. Additionally, the high memory clock speed of 1215MHz ensures that data can be accessed and manipulated quickly and efficiently.
With 6912 shading units and 48MB of L2 cache, the GRID A100A GPU offers outstanding parallel processing capabilities, making it well-suited for tasks such as deep learning, artificial intelligence, and scientific computing. The GPU's TDP of 400W may be on the higher side, but it is a necessary tradeoff for the level of performance it delivers.
In terms of raw computational power, the GRID A100A GPU is capable of achieving a theoretical performance of 13.89 TFLOPS, making it well-suited for demanding applications that require high levels of accuracy and precision.
Overall, the NVIDIA GRID A100A GPU is an excellent choice for professionals who require top-tier performance for their workloads. Whether you're working on complex simulations, modeling, or AI training, this GPU has the power and capabilities to handle it all with ease.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2020
Model Name
GRID A100A
Generation
GRID
Base Clock
900MHz
Boost Clock
1005MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
48GB
Memory Type
HBM2e
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.
6144bit
Memory Clock
1215MHz
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.
1866 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.
193.0 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.
434.2 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.
55.57 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.
6.947 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.
14.168
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.
108
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.
6912
L1 Cache
192 KB (per SM)
L2 Cache
48MB
TDP
400W
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.
N/A
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
14.168
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS