NVIDIA RTX A5000-8Q
About GPU
The NVIDIA RTX A5000-8Q is a powerful GPU designed for high-end desktop workstations. With a base clock speed of 1170MHz and a boost clock speed of 1695MHz, this GPU offers exceptional performance for demanding tasks such as 3D rendering, video editing, and AI development.
The RTX A5000-8Q is equipped with 8GB of GDDR6 memory, providing fast and reliable access to large datasets and complex scenes. The memory clock speed of 2000MHz ensures smooth and responsive operation, even when working with high-resolution textures and intricate visual effects.
With 8192 shading units and 6MB of L2 cache, the RTX A5000-8Q is capable of handling a wide range of graphics-intensive workloads with ease. Its 230W TDP ensures efficient power consumption while delivering the necessary performance for demanding tasks.
One of the most impressive aspects of the RTX A5000-8Q is its theoretical performance, boasting an impressive 28.325 TFLOPS. This makes it an excellent choice for professionals who require unparalleled computing power for complex simulations, ray tracing, and advanced deep learning applications.
Overall, the NVIDIA RTX A5000-8Q is a top-of-the-line GPU that delivers exceptional performance for professional applications. Whether you're a content creator, engineer, or researcher, this GPU has the capabilities to meet the most demanding requirements and deliver outstanding results.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2021
Model Name
RTX A5000-8Q
Generation
Quadro Ampere
Base Clock
1170MHz
Boost Clock
1695MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
8GB
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
2000MHz
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.
768.0 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.
433.9 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.
27.77 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.
433.9 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.
28.325
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.
64
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.
8192
L1 Cache
128 KB (per SM)
L2 Cache
6MB
TDP
230W
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
28.325
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS