NVIDIA Tesla P6
About GPU
The NVIDIA Tesla P6 GPU is a high-performance professional graphics processing unit that offers impressive specs for a variety of professional applications. With a base clock of 1012MHz and a boost clock of 1506MHz, this GPU provides fast and efficient processing for demanding workloads.
The 16GB of GDDR5 memory and a memory clock of 1502MHz ensure high-speed data access and smooth operation, making it well-suited for graphics-intensive tasks such as virtualization and high-performance computing. With 2048 shading units and 2MB of L2 cache, the Tesla P6 delivers excellent rendering and visual computing capabilities.
The NVIDIA Tesla P6 boasts a TDP of 90W, making it a relatively energy-efficient GPU compared to others in its class. This makes it an ideal choice for businesses looking to minimize power consumption without sacrificing performance.
With a theoretical performance of 6.169 TFLOPS, the Tesla P6 excels in handling complex computations and graphics rendering, making it a valuable tool for professionals in fields such as scientific research, engineering, and content creation.
Overall, the NVIDIA Tesla P6 GPU offers exceptional performance, energy efficiency, and a comprehensive feature set, making it a top choice for professionals seeking a high-performance GPU for demanding workloads. Whether used for virtualization, high-performance computing, or visual computing, the Tesla P6 delivers impressive performance and reliability.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2017
Model Name
Tesla P6
Generation
Tesla
Base Clock
1012MHz
Boost Clock
1506MHz
Bus Interface
MXM-B (3.0)
Memory Specifications
Memory Size
16GB
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
1502MHz
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.
192.3 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.
96.38 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.
192.8 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.
96.38 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.
192.8 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.
6.292
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.
2048
L1 Cache
48 KB (per SM)
L2 Cache
2MB
TDP
90W
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
6.292
TFLOPS
OctaneBench
Score
97
Compared to Other GPU
FP32 (float)
/ TFLOPS
OctaneBench