Executive Summary

The NVIDIA Tesla P100 is a professional-grade graphics card launched on June 20th, 2016. Built on the 16 nm process and based on the GP100 graphics processor, this card supports DirectX 12 and is designed for enthusiast-class professional applications. With its 56 SM units and 16 GB of HBM2 memory, the Tesla P100 offers significant performance improvements over its predecessors, making it an attractive option for high-performance computing, artificial intelligence, and deep learning applications.

The Tesla P100 is designed to provide a high level of performance, scalability, and reliability, making it suitable for a wide range of applications, including scientific simulations, data analytics, and machine learning. The card's high-performance capabilities and advanced features make it an ideal choice for professionals and researchers who require high-performance computing capabilities.

Architecture & Design

The Tesla P100 is based on the Pascal architecture, which provides a significant boost in performance and power efficiency compared to the previous Maxwell architecture. The GP100 graphics processor features 56 SM units, each containing 64 CUDA cores, resulting in a total of 3584 CUDA cores. The card also features 16 GB of HBM2 memory, which provides a memory bandwidth of 720 GB/s. The Tesla P100 also supports NVIDIA's NVLink interconnect technology, which enables high-speed communication between the GPU and other system components.

The Pascal architecture also introduces several new features, including a unified memory and page migration engine, which enables more efficient memory management and improved performance in applications with complex memory access patterns. The Tesla P100 also features a GPUDirect technology, which allows for direct communication between the GPU and other system components, reducing latency and improving overall system performance.

The Tesla P100's architecture is designed to provide a high level of scalability and flexibility, making it suitable for a wide range of applications. The card's advanced features, such as NVLink and GPUDirect, enable high-speed communication and data transfer, reducing latency and improving overall system performance.

Performance & Thermal

The Tesla P100 offers significant performance improvements over its predecessors, with a boost clock of 1.48 GHz and a peak performance of 10.6 TFLOPS of FP32 performance or 5.3 TFLOPS of FP64 performance. This makes it an attractive option for high-performance computing, artificial intelligence, and deep learning applications. The card also features a power consumption of 250W, which is relatively low compared to other high-end graphics cards.

In terms of thermal performance, the Tesla P100 features a passive cooling system, which requires careful system design and cooling to ensure reliable operation. The card also features a range of thermal management features, including a thermal monitoring system and a thermal throttling system, which help to prevent overheating and ensure reliable operation.

The Tesla P100's thermal management features are designed to provide a high level of reliability and performance, even in demanding applications. The card's passive cooling system and thermal management features enable it to operate reliably in a wide range of environments, making it suitable for use in data centers, research institutions, and other applications where high-performance computing is required.

Market Positioning

The Tesla P100 is positioned as a high-end professional graphics card, designed for applications such as high-performance computing, artificial intelligence, and deep learning. The card is designed to provide significant performance improvements over its predecessors, making it an attractive option for professionals and researchers who require high-performance computing capabilities.

The Tesla P100 is also designed to be a cost-effective option for professionals and researchers, providing a high level of performance and scalability at a lower cost than other high-end graphics cards. The card's advanced features, such as NVLink and GPUDirect, enable high-speed communication and data transfer, reducing latency and improving overall system performance.

Technical Background

The Tesla P100 is based on the Pascal architecture, which is designed to provide a high level of performance and power efficiency. The GP100 graphics processor features 56 SM units, each containing 64 CUDA cores, resulting in a total of 3584 CUDA cores. The card also features 16 GB of HBM2 memory, which provides a memory bandwidth of 720 GB/s.

The Pascal architecture also introduces several new features, including a unified memory and page migration engine, which enables more efficient memory management and improved performance in applications with complex memory access patterns. The Tesla P100 also features a GPUDirect technology, which allows for direct communication between the GPU and other system components, reducing latency and improving overall system performance.

Competitive Landscape

The Tesla P100 competes with other high-end professional graphics cards, including the AMD Radeon Pro Duo and the NVIDIA Quadro GP100. The Tesla P100 offers significant performance improvements over its predecessors, making it an attractive option for high-performance computing, artificial intelligence, and deep learning applications.

The Tesla P100's advanced features, such as NVLink and GPUDirect, enable high-speed communication and data transfer, reducing latency and improving overall system performance. The card's cost-effectiveness and high level of performance make it an attractive option for professionals and researchers who require high-performance computing capabilities.

The competitive landscape for high-end professional graphics cards is constantly evolving, with new products and technologies being introduced regularly. The Tesla P100 is well-positioned in this market, offering a high level of performance, scalability, and reliability, making it an attractive option for a wide range of applications.