NVIDIA GRID K560Q
About GPU
The NVIDIA GRID K560Q GPU is a powerful professional-grade graphics processing unit designed for demanding and high-performance applications. With a 4GB GDDR5 memory size, 1250MHz memory clock, and 1536 shading units, this GPU offers exceptional performance and reliability for a wide range of professional workloads.
The 2.289 TFLOPS theoretical performance of the NVIDIA GRID K560Q GPU ensures that it can handle complex, graphics-intensive tasks with ease. Whether it's rendering 3D models, running virtual desktop infrastructure (VDI), or powering graphic-intensive applications, this GPU delivers the performance and capabilities that professionals demand.
The 225W TDP ensures that the NVIDIA GRID K560Q GPU can operate efficiently and reliably under heavy workloads, making it suitable for use in data centers and other professional computing environments. Additionally, the 512KB L2 cache helps to further optimize performance and reduce latency for improved overall responsiveness.
Overall, the NVIDIA GRID K560Q GPU is an excellent choice for professionals who require high-performance graphics capabilities for their work. Its robust specifications and impressive performance make it well-suited for a variety of professional applications, making it a reliable and powerful solution for demanding workloads. Whether it's for design, virtualization, or content creation, the NVIDIA GRID K560Q GPU is a solid choice for professionals in need of high-performance graphics processing.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2014
Model Name
GRID K560Q
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.
2.243
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
2.243
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS