NVIDIA GRID K2
About GPU
The NVIDIA GRID K2 GPU is a professional-grade graphics processing unit designed for high performance and reliability. With a memory size of 4GB and a memory type of GDDR5, this GPU offers fast and efficient data processing, making it ideal for professional applications such as virtual desktop infrastructure and virtualized graphics workloads.
One of the standout features of the NVIDIA GRID K2 GPU is its impressive 2.289 TFLOPS of theoretical performance, which ensures smooth and responsive graphics rendering even for the most demanding workloads. The 1536 shading units and 512KB L2 cache further contribute to the GPU's ability to handle complex graphical tasks with ease.
In addition to its powerful performance capabilities, the NVIDIA GRID K2 GPU is also designed with power efficiency in mind, with a thermal design power (TDP) rating of 225W. This ensures that the GPU can deliver high performance without excessive power consumption, making it a cost-effective choice for businesses and organizations.
Overall, the NVIDIA GRID K2 GPU is a solid choice for professionals in need of a reliable and high-performance graphics solution. Its combination of fast memory, powerful shading units, and efficient power usage make it well-suited for a range of professional applications, from virtual desktop infrastructure to virtualized graphics workloads. Whether used for design, engineering, or scientific visualization tasks, the NVIDIA GRID K2 GPU delivers the performance and reliability that professionals demand.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2013
Model Name
GRID K2
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.
1.2.175
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
2.243
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS