NVIDIA PG506 242
About GPU
The NVIDIA PG506 242 is a powerful GPU designed for desktop platforms, offering impressive performance and advanced features. With a base clock of 930MHz and a boost clock of 1440MHz, this GPU delivers fast and responsive performance for a wide range of graphics-intensive tasks, including gaming, content creation, and professional applications.
One of the most notable features of the NVIDIA PG506 242 is its large 24GB memory size, which is ideal for handling complex and high-resolution workloads. The HBM2 memory type and 1215MHz memory clock further enhance the GPU's ability to handle large datasets and memory-intensive tasks with ease. Additionally, the 24MB L2 cache helps to reduce memory access latency, resulting in smoother overall performance.
With 3584 shading units and a TDP of 165W, the NVIDIA PG506 242 is capable of delivering impressive visual fidelity and smooth frame rates in demanding gaming and professional applications. The theoretical performance of 10.32 TFLOPS further demonstrates the GPU's ability to handle complex calculations and graphical tasks efficiently.
Overall, the NVIDIA PG506 242 is a powerhouse GPU that offers exceptional performance, advanced features, and ample memory capacity for a wide range of applications. Whether you're a gamer, content creator, or professional user, this GPU is a compelling choice for those who require high-performance graphics processing.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2021
Model Name
PG506 242
Generation
Tesla
Base Clock
930MHz
Boost Clock
1440MHz
Bus Interface
PCIe 4.0 x16
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
Benchmarks
FP32 (float)
Score
10.114
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS