NVIDIA GRID K240Q
About GPU
The NVIDIA GRID K240Q GPU is a professional-grade graphics card that offers impressive performance and reliability. With a memory size of 1024MB and GDDR5 memory type, it provides fast and efficient data processing, making it suitable for a wide range of professional applications.
One of the standout features of the GRID K240Q GPU is its 1536 shading units, which allow for high-quality rendering and smooth graphics processing. Additionally, the 1250MHz memory clock ensures quick access to data, further enhancing the GPU's performance capabilities.
With a TDP of 225W, the GRID K240Q GPU is a power-efficient solution, making it suitable for workstations and servers where energy consumption is a concern. The 512KB L2 cache also contributes to the card's efficiency, allowing for quick access to frequently used data.
In terms of performance, the NVIDIA GRID K240Q GPU offers a theoretical performance of 2.289 TFLOPS, making it a reliable option for demanding professional tasks such as 3D rendering, video editing, and scientific simulations. Its impressive performance makes it a valuable asset for professionals in various industries.
Overall, the NVIDIA GRID K240Q GPU is a solid choice for professionals in need of a reliable and high-performance graphics card. Its combination of high memory size, efficient data processing, and power efficiency make it a strong contender in the professional GPU market.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
June 2013
Model Name
GRID K240Q
Generation
GRID
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
1024MB
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