NVIDIA A40 PCIe

NVIDIA A40 PCIe

About GPU

The NVIDIA A40 PCIe GPU is a powerhouse of a graphics processing unit, offering an impressive array of features and capabilities for desktop users. With a base clock of 1305MHz and a boost clock of 1740MHz, this GPU delivers exceptional performance across a wide range of applications, including gaming, content creation, and professional visualization. One of the most impressive aspects of the A40 is its massive 48GB of GDDR6 memory, providing ample room for demanding workloads and resource-intensive tasks. Combined with a memory clock of 1812MHz, users can expect smooth, responsive performance even when working with large datasets or complex 3D models. With 10752 shading units and 6MB of L2 cache, the A40 is well-equipped to handle even the most demanding graphics tasks. Its 300W TDP ensures that it can deliver sustained high performance without running into thermal limitations, making it an excellent choice for professionals who rely on consistent, reliable performance. Overall, the NVIDIA A40 PCIe GPU is a top-tier option for anyone in need of uncompromising graphics performance. Whether you're a professional content creator, a data scientist, or a serious gamer, this GPU has the features and capabilities to meet your needs. With a theoretical performance of 37.42 TFLOPS, the A40 is well-suited to handle the most demanding workloads with ease, making it a standout option in the high-end GPU market.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
October 2020
Model Name
A40 PCIe
Generation
Tesla
Base Clock
1305MHz
Boost Clock
1740MHz
Bus Interface
PCIe 4.0 x16

Memory Specifications

Memory Size
48GB
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
1812MHz
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.
695.8 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.
194.9 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.
584.6 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.
37.42 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.
584.6 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.
36.672 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.
84
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.
10752
L1 Cache
128 KB (per SM)
L2 Cache
6MB
TDP
300W
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
36.672 TFLOPS
Blender
Score
5010

Compared to Other GPU

FP32 (float) / TFLOPS
37.75 +2.9%
36.853 +0.5%
36.672
36.574 -0.3%
35.873 -2.2%