NVIDIA RTX A5000

NVIDIA RTX A5000

About GPU

The NVIDIA RTX A5000 is an absolute powerhouse of a GPU for professional use, offering incredible performance and capabilities for a wide range of demanding tasks. With a base clock of 1170MHz and a boost clock of 1695MHz, this GPU is capable of handling even the most intensive workloads with ease. The massive 24GB of GDDR6 memory, running at 2000MHz, ensures that even the largest datasets and most complex simulations can be handled without breaking a sweat. With an impressive 8192 shading units and 6MB of L2 cache, the RTX A5000 is able to deliver a theoretical performance of 27.77 TFLOPS, making it ideal for rendering, simulation, and other demanding professional tasks. In 3DMark Time Spy, it achieves a score of 14471, showcasing its ability to handle even the most demanding graphical workloads, while in Shadow of the Tomb Raider at 1080p, it achieves an astounding 190 fps, providing smooth and responsive performance for even the most graphically demanding games or professional applications. With a TDP of 230W, the RTX A5000 is a power-hungry beast, but the level of performance it offers more than justifies the power consumption. Overall, the NVIDIA RTX A5000 is an absolute powerhouse of a GPU, offering incredible performance and capabilities for professionals who demand the very best. Whether for rendering, simulation, or high-end gaming, the RTX A5000 delivers the performance and capabilities needed to handle even the most demanding workloads with ease.

Basic

Label Name
NVIDIA
Platform
Professional
Launch Date
April 2021
Model Name
RTX A5000
Generation
Quadro
Base Clock
1170MHz
Boost Clock
1695MHz
Bus Interface
PCIe 4.0 x16
Transistors
28,300 million
RT Cores
64
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
256
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
256
Foundry
Samsung
Process Size
8 nm
Architecture
Ampere

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
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.
867.8 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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
8.6
Power Connectors
1x 8-pin
Shader Model
6.6
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
96
Suggested PSU
550W

Benchmarks

Shadow of the Tomb Raider 2160p
Score
73 fps
Shadow of the Tomb Raider 1440p
Score
138 fps
Shadow of the Tomb Raider 1080p
Score
194 fps
FP32 (float)
Score
28.325 TFLOPS
3DMark Time Spy
Score
14182
Blender
Score
2981
OctaneBench
Score
592
Vulkan
Score
140875
OpenCL
Score
152485

Compared to Other GPU

Shadow of the Tomb Raider 2160p / fps
193 +164.4%
45 -38.4%
34 -53.4%
24 -67.1%
Shadow of the Tomb Raider 1440p / fps
292 +111.6%
138
67 -51.4%
49 -64.5%
Shadow of the Tomb Raider 1080p / fps
310 +59.8%
194
101 -47.9%
72 -62.9%
FP32 (float) / TFLOPS
35.404 +25%
31.615 +11.6%
28.325
23.531 -16.9%
22.579 -20.3%
3DMark Time Spy
36233 +155.5%
16792 +18.4%
14182
9097 -35.9%
Blender
12832 +330.5%
2981
1222 -59%
521 -82.5%
203 -93.2%
OctaneBench
1328 +124.3%
592
163 -72.5%
89 -85%
47 -92.1%
Vulkan
254749 +80.8%
140875
83205 -40.9%
54373 -61.4%
30994 -78%
OpenCL
362331 +137.6%
152485
92041 -39.6%
66428 -56.4%
46137 -69.7%