NVIDIA Tesla M60
 
                                        
                                                     NVIDIA Tesla M60 is a Professional video accelerator from NVIDIA. It began to be released in August 2015. The GPU has a boost frequency of 1178MHz. It also has a memory frequency of 1253MHz. Its characteristics, as well as benchmark results, are presented in more detail below.
                                            
                Basic
                            Label Name
                        
                        
                            NVIDIA
                        
                    
                                Platform
                            
                            
                                Professional
                            
                        
                                Launch Date
                            
                            
                                August 2015
                            
                        Model Name
                                                    
                            Tesla M60
                                                    
                    Generation
                                                    
                            Tesla
                                                    
                    Base Clock
                                                    
                            557MHz
                                                    
                    Boost Clock
                                                    
                            1178MHz
                                                    
                    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.
                                
                            2048
                                                    
                    Transistors
                                                    
                            5,200 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
                                                    
                    L1 Cache
                                                    
                            48 KB (per SMM)
                                                    
                    L2 Cache
                                                    
                            2MB
                                                    
                    Bus Interface
                                                    
                            PCIe 3.0 x16
                                                    
                    Foundry
                                                    
                            TSMC
                                                    
                    Process Size
                                                    
                            28 nm
                                                    
                    Architecture
                                                    
                            Maxwell 2.0
                                                    
                    TDP
                                                    
                            300W
                                                    
                    Memory Specifications
Memory Size
                                                    
                            8GB
                                                    
                    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
                                                    
                            1253MHz
                                                    
                    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.
                                
                            160.4 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.
                                
                            75.39 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.
                                
                            150.8 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.
                                
                            150.8 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.
                                
                            4.824
                                                            TFlops
                                                    
                    Miscellaneous
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.
                                
                            1.3
                                                    
                    OpenCL Version
                                                    
                            3.0
                                                    
                    OpenGL
                                                    
                            4.6
                                                    
                    DirectX
                                                    
                            12 (12_1)
                                                    
                    CUDA
                                                    
                            5.2
                                                    
                    Power Connectors
                                                    
                            1x 8-pin
                                                    
                    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.
                                
                            64
                                                    
                    Shader Model
                                                    
                            6.4
                                                    
                    Suggested PSU
                                                    
                            700W
                                                    
                    FP32 (float)
                                                                4.824
                                TFlops
                            
                            Blender
                                                                319
                                
                            
                            OctaneBench
                                                                77
                                
                            
                            Compared to Other GPU
SiliconCat Rating
										546
									
									
										Ranks 546 among all GPU on our website
									
								
								FP32 (float)
							
															
															
															
															
															
													
								Blender
							
															
															
															
															
															
													
								OctaneBench
							
															
															
															
															
															
													 
                                                             
                                                            