What is tesla p 100?

The Tesla P100 is a data center processor that was launched in 2016. It is based on the Pascal architecture and is built on a 16nm FinFET manufacturing process. The P100 has 3,840 CUDA cores and a base clock speed of 1.3GHz. It also features 16GB of HBM2 memory, which provides high bandwidth for high-performance computing workloads.

The P100 is designed for accelerating large-scale data processing tasks, such as deep learning, machine learning, scientific simulations, and big data analytics. It provides a significant increase in performance over its predecessor, the Tesla K80.

Tesla P100 supports NVLink, a high-speed interconnect technology that allows multiple GPUs to communicate with each other at high speed. This enables applications to scale out across multiple GPUs, providing faster processing times and improved performance.

The P100 provides advanced features such as ECC memory protection, error resilience, and hardware-based virtualization. It also supports the latest industry standards and programming models including OpenACC, OpenCL, CUDA, and TensorFlow.

In summary, the Tesla P100 is a powerful data center processor designed for high-performance computing workloads. It delivers exceptional speed, memory, and performance for scientific simulations, machine learning, and deep learning applications.