NVIDIA Tesla C2050
About GPU
The NVIDIA Tesla C2050 GPU is a powerful and efficient professional computing platform designed for use in data centers and high-performance computing environments. With a memory size of 3GB and memory type GDDR5, this GPU is capable of handling complex and data-intensive tasks with ease. The 750MHz memory clock ensures high-speed data processing, while the 448 shading units and 768KB L2 cache contribute to the GPU's impressive performance capabilities.
One of the key highlights of the NVIDIA Tesla C2050 GPU is its theoretical performance of 1.028 TFLOPS, making it well-suited for intensive parallel computing tasks such as scientific simulations, data analysis, and machine learning. The GPU's TDP of 238W indicates its power efficiency, ensuring that it can deliver high performance without consuming excessive energy.
In real-world testing, the NVIDIA Tesla C2050 GPU has proven to be a reliable and capable workhorse, excelling in tasks that demand high computational power and memory bandwidth. Its robust performance, coupled with its advanced features and optimizations, makes it an excellent choice for organizations and professionals requiring accelerated computing capabilities.
Overall, the NVIDIA Tesla C2050 GPU is a compelling option for those in need of a professional-grade computing platform. Its impressive specifications, high performance, and energy efficiency make it a valuable asset for a wide range of computational tasks, making it a worthy investment for those seeking top-tier performance in their computing infrastructure.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2011
Model Name
Tesla C2050
Generation
Tesla
Bus Interface
PCIe 2.0 x16
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
750MHz
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.
144.0 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.
16.07 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.
32.14 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.
513.9 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.
1.007
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
238W
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
Benchmarks
FP32 (float)
Score
1.007
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS