NVIDIA Tesla K10
About GPU
The NVIDIA Tesla K10 is a professional-grade GPU that offers impressive performance and a range of features that make it an ideal choice for a wide range of applications. With 4GB of GDDR5 memory and a memory clock of 1250MHz, it provides ample memory capacity and fast data transfer speeds to handle even the most demanding workloads.
With 1536 shading units and 512KB of L2 cache, the Tesla K10 offers excellent computational capabilities, allowing for complex calculations and simulations to be run quickly and efficiently. In addition, the 225W TDP ensures that the GPU can deliver reliable and consistent performance without overheating or causing system instability.
The theoretical performance of 2.289 TFLOPS makes the Tesla K10 well-suited for tasks such as scientific computing, data analysis, and deep learning, where high levels of parallel processing power are required. Whether used for research, design, or data processing, this GPU is more than capable of meeting the demands of modern professional applications.
Overall, the NVIDIA Tesla K10 is a powerful and versatile GPU that offers a winning combination of performance, memory capacity, and reliability. With its impressive specifications and range of features, it is a solid choice for professionals in need of a dependable and high-performance GPU for a variety of computing tasks.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2012
Model Name
Tesla K10
Generation
Tesla
Bus Interface
PCIe 3.0 x16
Transistors
3,540 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
Kepler
Memory Specifications
Memory Size
4GB
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
1250MHz
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.
160.0 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.
23.84 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.
95.36 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.
95.36 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.
2.335
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.
1536
L1 Cache
16 KB (per SMX)
L2 Cache
512KB
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.
1.1
OpenCL Version
3.0
OpenGL
4.6
DirectX
12 (11_0)
CUDA
3.0
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.
32
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
2.335
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS