NVIDIA GRID K280Q
About GPU
The NVIDIA GRID K280Q GPU is a professional-grade graphics card designed for high-end workstation and server applications. With a memory size of 4GB and GDDR5 memory type, this GPU delivers exceptional performance for demanding tasks such as 3D rendering, CAD/CAM design, and scientific simulations.
The 1250MHz memory clock and 1536 shading units allow for smooth and efficient processing of complex visual data, while the 512KB L2 cache helps to minimize latency and improve overall system responsiveness. The 225W TDP ensures that the GPU can handle intensive workloads without overheating or experiencing performance throttling.
With a theoretical performance of 2.289 TFLOPS, the NVIDIA GRID K280Q GPU provides ample processing power for modern professional applications, making it an ideal choice for professionals in fields such as architecture, engineering, and content creation.
In addition to its impressive performance capabilities, the NVIDIA GRID K280Q GPU is also highly energy-efficient, making it a cost-effective solution for businesses and organizations looking to power multiple workstations or servers.
Overall, the NVIDIA GRID K280Q GPU is a high-performance, reliable, and efficient solution for professionals and businesses that require powerful graphics processing for demanding workloads. Its combination of robust features, ample memory, and impressive theoretical performance make it a solid choice for anyone in need of a top-tier professional GPU.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
June 2013
Model Name
GRID K280Q
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