NVIDIA Tesla M60

NVIDIA Tesla M60

About GPU

The NVIDIA Tesla M60 GPU is a professional-grade graphics card designed for high-performance computing and demanding workloads. With a base clock of 557MHz and a boost clock of 1178MHz, this GPU offers impressive processing power for a wide range of applications. One of the standout features of the Tesla M60 is its 8GB of GDDR5 memory, which provides ample space for complex calculations and data-intensive tasks. The memory clock speed of 1253MHz ensures quick access to data, while the 2048 shading units enable smooth and efficient rendering of graphics. In terms of performance, the Tesla M60 boasts a theoretical output of 4.825 TFLOPS, making it well-suited for tasks such as machine learning, scientific simulations, and 3D rendering. Its 2MB L2 cache also helps to minimize latency and enhance overall speed. It's worth noting that the Tesla M60 has a TDP of 300W, which means it requires a considerable amount of power to operate at its full potential. However, this is to be expected from a GPU of this caliber, and it is a small tradeoff for the level of performance it delivers. In conclusion, the NVIDIA Tesla M60 GPU is a powerhouse graphics card that offers exceptional processing power, ample memory, and impressive performance for professional applications. Whether you're working with complex visualizations, data analytics, or deep learning, the Tesla M60 is a reliable and capable solution for demanding workloads.

Basic

Label Name
NVIDIA
Platform
Professional
Launch Date
August 2015
Model Name
Tesla M60
Generation
Tesla
Base Clock
557MHz
Boost Clock
1178MHz
Bus Interface
PCIe 3.0 x16
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
Foundry
TSMC
Process Size
28 nm
Architecture
Maxwell 2.0

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.
4.922 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.
2048
L1 Cache
48 KB (per SMM)
L2 Cache
2MB
TDP
300W
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
Shader Model
6.4
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
Suggested PSU
700W

Benchmarks

FP32 (float)
Score
4.922 TFLOPS
Blender
Score
319
OctaneBench
Score
79

Compared to Other GPU

FP32 (float) / TFLOPS
5.092 +3.5%
4.922
4.762 -3.3%
A2
4.622 -6.1%
Blender
1436 +350.2%
319
62 -80.6%