NVIDIA GRID K500
About GPU
The NVIDIA GRID K500 is a professional-grade GPU with impressive specs that make it a great choice for a variety of applications. With 4GB of GDDR5 memory, a memory clock of 1250MHz, and 1536 shading units, this GPU offers high performance and efficiency for demanding workloads.
One of the standout features of the GRID K500 is its 2.289 TFLOPS theoretical performance, which makes it capable of handling complex graphics and computational tasks with ease. This level of performance is especially important for professionals who work with large datasets, 3D rendering, and virtualization.
The 225W TDP of the GRID K500 may be on the higher side, but it is justified by the high level of performance it delivers. Additionally, the 512KB L2 cache helps to improve overall system responsiveness and reduce latency during GPU-intensive tasks.
Overall, the NVIDIA GRID K500 is a solid choice for professionals who require a high-performance GPU for their work. Whether you are a designer, engineer, or data scientist, the GRID K500's combination of memory size, memory type, and shading units make it a reliable and powerful option for a wide range of applications. It is a great investment for those who require a GPU that can handle demanding workloads without compromising on performance.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2014
Model Name
GRID K500
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