NVIDIA GRID K260Q
 
                                    
                                    The NVIDIA GRID K260Q GPU is a professional-grade graphics card designed for heavy-duty graphic and video rendering tasks. With a memory size of 2GB and GDDR5 memory type, this GPU offers high-speed and smooth performance, making it ideal for demanding applications and workloads. The 1250MHz memory clock further enhances the card's capability to handle large data sets and complex simulations with ease.
With 1536 shading units and a 512KB L2 cache, the K260Q GPU is capable of delivering high-quality visuals and fast rendering times. Its 2.289 TFLOPS theoretical performance makes it a powerful tool for professionals working in industries such as animation, engineering, and scientific research, where complex visualizations and simulations are common.
In terms of power consumption, the K260Q has a TDP of 225W, which may be on the higher side compared to some consumer-grade GPUs, but is necessary to support its high-performance capabilities. Additionally, the K260Q GPU is well-suited for server-based deployments, where power consumption may be less of a concern.
Overall, the NVIDIA GRID K260Q GPU is a reliable and efficient solution for professionals who require a high-performance graphics card for their work. Its robust specifications and powerful performance make it a valuable asset for tasks that demand exceptional visual fidelity and computational capability.
                                
                                
                                                    Basic
                            Label Name
                        
                        
                            NVIDIA
                        
                    
                                Platform
                            
                            
                                Professional
                            
                        
                                Launch Date
                            
                            
                                June 2013
                            
                        Model Name
                                                    
                            
                                GRID K260Q
                                                            
                        
                    Generation
                                                    
                            
                                GRID
                                                            
                        
                    Bus Interface
                                                    
                            
                                PCIe 3.0 x16
                                                            
                        
                    Transistors
                                                    
                            
                                3,540 million
                                                            
                        
                    TMUs
                                                            
                                    ?
                                    
                                                    Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
                                
                            
                                128
                                                            
                        
                    Foundry
                                                    
                            
                                TSMC
                                                            
                        
                    Process Size
                                                    
                            
                                28 nm
                                                            
                        
                    Architecture
                                                    
                            
                                Kepler
                                                            
                        
                    Memory Specifications
Memory Size
                                                    
                            
                                2GB
                                                            
                        
                    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
                                                            
                        
                    OpenGL
                                                    
                            
                                4.6
                                                            
                        
                    DirectX
                                                    
                            
                                12 (11_0)
                                                            
                        
                    CUDA
                                                    
                            
                                3.0
                                                            
                        
                    Shader Model
                                                    
                            
                                5.1
                                                            
                        
                    ROPs
                                                            
                                    ?
                                    
                                                    The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
                                
                            
                                32
                                                            
                        
                    Suggested PSU
                                                    
                            
                                550W
                                                            
                        
                    Benchmarks
                                                FP32 (float)
                                            
                                            
                                                                                                Score
                                            
                                            
                                                2.243
                                                TFLOPS
                                            
                                            Compared to Other GPU
                                    FP32 (float)
                                                                             / TFLOPS
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
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