NVIDIA GRID K540Q
About GPU
The NVIDIA GRID K540Q is a high-performance professional GPU that offers impressive specs and capabilities. With a memory size of 4GB and a memory type of GDDR5, this GPU is well-equipped to handle demanding tasks in professional settings. The memory clock of 1250MHz ensures quick and efficient data processing, while the 1536 shading units provide excellent graphics rendering capabilities.
One of the standout features of the NVIDIA GRID K540Q is its theoretical performance of 2.289 TFLOPS. This level of performance makes it suitable for a wide range of professional applications, including CAD, 3D modeling, and content creation. The high performance of this GPU makes it a valuable asset for professionals who require reliable and efficient hardware for their work.
In addition to its impressive performance, the NVIDIA GRID K540Q also boasts a TDP of 225W, ensuring that it can handle heavy workloads without compromising on power efficiency. The 512KB L2 cache further enhances its ability to handle large amounts of data, leading to smoother and more responsive performance.
Overall, the NVIDIA GRID K540Q is a top-of-the-line professional GPU that offers exceptional performance, reliability, and efficiency. Its impressive specs and capabilities make it a valuable asset for professionals in need of a high-performance GPU for their professional work. Whether used for design, modeling, or content creation, the NVIDIA GRID K540Q delivers the power and performance needed to handle demanding tasks with ease.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2014
Model Name
GRID K540Q
Generation
GRID
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
4GB
Memory Type
GDDR5
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.
256bit
Memory Clock
1250MHz
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.
160.0 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.
23.84 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.
95.36 GTexel/s
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.
95.36 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.
2.335
TFLOPS
Miscellaneous
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.
1536
L1 Cache
16 KB (per SMX)
L2 Cache
512KB
TDP
225W
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.
1.1
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
2.335
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS