NVIDIA PG506 232
About GPU
The NVIDIA PG506 232 GPU is a powerful and high-performance graphics card designed for desktop platforms. With a base clock of 930MHz and a boost clock of 1440MHz, this GPU is capable of delivering fast and smooth graphics performance for a wide range of applications, including gaming, design, and content creation.
One of the standout features of the PG506 232 GPU is its massive 24GB of HBM2 memory, which allows for seamless multitasking and high-resolution rendering. The memory clock speed of 1215MHz further enhances the overall performance and responsiveness of the GPU.
The inclusion of 3584 shading units and 24MB of L2 cache ensures that the GPU can handle complex graphical tasks with ease. Whether it's rendering detailed 3D models or processing advanced visual effects in games, the PG506 232 GPU delivers impressive results.
Despite its high performance, the GPU has a relatively low TDP of 165W, which means it can operate efficiently without consuming excessive power or generating excessive heat.
With a theoretical performance of 10.32 TFLOPS, the PG506 232 GPU is well-suited for demanding tasks that require intense graphical processing. Overall, this GPU is an excellent choice for users who are looking for top-tier performance and reliability in a desktop graphics card. Whether you're a hardcore gamer, a professional designer, or a content creator, the NVIDIA PG506 232 GPU has the capabilities to meet your needs and exceed your expectations.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2021
Model Name
PG506 232
Generation
Tesla
Base Clock
930MHz
Boost Clock
1440MHz
Bus Interface
PCIe 4.0 x16
Transistors
54,200 million
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.
224
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.
224
Foundry
TSMC
Process Size
7 nm
Architecture
Ampere
Memory Specifications
Memory Size
24GB
Memory Type
HBM2
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.
3072bit
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.
933.1 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.
138.2 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.
322.6 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.
10.32 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.
5.161 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.
10.114
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.
56
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.
3584
L1 Cache
192 KB (per SM)
L2 Cache
24MB
TDP
165W
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
OpenGL
N/A
DirectX
N/A
CUDA
8.0
Power Connectors
8-pin EPS
Shader Model
N/A
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
450W
Benchmarks
FP32 (float)
Score
10.114
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS