NVIDIA Tesla M2050
The NVIDIA Tesla M2050 GPU is a powerful professional-grade graphics card designed for high-performance computing and data-intensive workloads. With a memory size of 3GB and GDDR5 memory type, this GPU delivers fast and efficient data processing capabilities. The 773MHz memory clock and 448 shading units ensure smooth and responsive graphics rendering, making it suitable for a wide range of professional applications.
One of the standout features of the Tesla M2050 is its impressive theoretical performance of 1.03 TFLOPS, which allows for quick and efficient processing of complex calculations and simulations. This makes it an ideal choice for scientific research, engineering, financial modeling, and other computationally demanding tasks.
The 768KB L2 cache helps to reduce latency and improve overall performance, while the 225W TDP ensures that the GPU operates efficiently and reliably under heavy workloads.
Overall, the NVIDIA Tesla M2050 GPU is a solid choice for professionals and researchers who require a high-performance computing solution. Its robust hardware specs and optimized design make it well-suited for demanding applications that require fast and accurate data processing. Whether you are working with large datasets, running simulations, or conducting research that relies on complex calculations, the Tesla M2050 delivers the performance and reliability needed to tackle these tasks with ease.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2011
Model Name
Tesla M2050
Generation
Tesla
Bus Interface
PCIe 2.0 x16
Transistors
3,100 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.
56
Foundry
TSMC
Process Size
40 nm
Architecture
Fermi
Memory Specifications
Memory Size
3GB
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.
384bit
Memory Clock
773MHz
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.
148.4 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.
16.10 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.
32.20 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.
515.2 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.
1.009
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
14
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.
448
L1 Cache
64 KB (per SM)
L2 Cache
768KB
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.
N/A
OpenCL Version
1.1
OpenGL
4.6
DirectX
12 (11_0)
CUDA
2.0
Power Connectors
1x 6-pin + 1x 8-pin
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.
48
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
1.009
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS
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