P100

P100 is a designation used for various hardware products and standards, most notably in computing. The Nvidia Tesla P100 is the best-known reference, a high-performance GPU accelerator designed for data centers, high-performance computing, and artificial intelligence workloads.

The Nvidia Tesla P100 was released in 2016 and is based on Nvidia's Pascal architecture. It employs high-bandwidth memory (HBM2) to provide substantial memory capacity and bandwidth for compute-intensive tasks. The card is designed for large-scale scientific simulations, machine learning training and inference, and data analytics. It is commonly deployed in server configurations and specialized systems, including DGX platforms, and can be connected via PCIe or NVLink to enable fast multi-GPU communication in systems with several accelerators.

In practice, the P100 has served as a core compute component in early deep learning and HPC deployments and has since been superseded by newer generations within Nvidia’s lineup. Notable successors in the Tesla family include the P40 and P4 for specific inference and data-center roles, as well as later Volta and newer architectures like V100 and A100 for broader HPC and AI workloads.

Beyond Nvidia, the P100 designation has been used by other manufacturers as a model number for various electronic devices or components. As with many product names, the exact meaning of P100 depends on the manufacturer and context, so clarification is often required to identify the specific device being referenced.