NVIDIA Tesla P10
About GPU
The NVIDIA Tesla P10 GPU is a professional-grade graphics processing unit that offers high performance and reliability for a wide range of professional workloads. With a base clock speed of 1025MHz and a boost clock speed of 1493MHz, this GPU delivers fast and efficient rendering for demanding applications.
One of the standout features of the Tesla P10 is its massive 24GB of GDDR5X memory, providing ample space for large datasets and complex simulations. The memory clock speed of 1808MHz ensures swift data access, while the 3840 shading units allow for parallel processing of graphics and compute tasks.
With a TDP of 250W, the Tesla P10 strikes a good balance between power consumption and performance, making it suitable for a variety of professional settings. The 3MB of L2 cache helps to further improve data access speeds, while the theoretical performance of 11.47 TFLOPS ensures that even the most demanding workloads can be handled with ease.
Overall, the NVIDIA Tesla P10 GPU is a powerhouse for professional applications, offering high performance, ample memory capacity, and efficient power consumption. Whether used for rendering complex visualizations, running simulations, or other compute-intensive tasks, the Tesla P10 is a reliable and versatile option for professionals in need of top-tier graphics processing.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
September 2016
Model Name
Tesla P10
Generation
Tesla
Base Clock
1025MHz
Boost Clock
1493MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
24GB
Memory Type
GDDR5X
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
1808MHz
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.
694.3 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.
143.3 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.
358.3 GTexel/s
FP16 (half)
?
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. 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.
179.2 GFLOPS
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.
358.3 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.
11.241
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.
30
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.
3840
L1 Cache
48 KB (per SM)
L2 Cache
3MB
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.
1.3
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
11.241
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS