NVIDIA Tesla M2090
About GPU
The NVIDIA Tesla M2090 GPU is a professional-grade graphics processing unit designed to handle complex and demanding workloads. With a generous 6GB of GDDR5 memory and a memory clock speed of 924MHz, this GPU delivers excellent performance for a variety of compute-intensive applications.
One of the standout features of the Tesla M2090 is its impressive 512 shading units, which allow for high-fidelity rendering and simulation capabilities. The 768KB of L2 cache further enhances its ability to process large datasets and compute intensive workloads, making it an ideal choice for data analysis and scientific research.
With a TDP of 250W, the Tesla M2090 is a power-hungry GPU, but this is to be expected given its high-end performance capabilities. The theoretical performance of 1.332 TFLOPS also speaks to its ability to handle complex calculations and simulations with ease.
The Tesla M2090 is an excellent choice for professionals working in fields such as computational biology, finance, and oil and gas exploration, where the ability to handle large-scale data processing and complex simulations is essential. Its robust design and high-performance capabilities make it a valuable tool for accelerating a wide range of scientific and technical computing tasks.
Overall, the NVIDIA Tesla M2090 GPU is a powerful and versatile professional-grade GPU that delivers exceptional performance for demanding computational workloads. Its ample memory, high shading unit count, and impressive theoretical performance make it a top choice for professionals seeking a high-performance GPU for their work.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2011
Model Name
Tesla M2090
Generation
Tesla
Bus Interface
PCIe 2.0 x16
Transistors
3,000 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.
64
Foundry
TSMC
Process Size
40 nm
Architecture
Fermi 2.0
Memory Specifications
Memory Size
6GB
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
924MHz
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.
177.4 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.
20.83 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.
41.66 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.
666.1 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.
1.359
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.
16
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.
512
L1 Cache
64 KB (per SM)
L2 Cache
768KB
TDP
250W
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
600W
Benchmarks
FP32 (float)
Score
1.359
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS