Q9U36A

The HP NVIDIA Tesla V100 with 32GB HBM2 memory is built for accelerating complex computations, machine learning, and scientific simulations. It’s commonly found in data centers and high-performance computing clusters where speed and precision are essential.

Engineered primarily for researchers, engineers, and data scientists, this card delivers the power needed to handle large datasets and parallel processing tasks efficiently. Its PCI Express 3.0 x16 interface allows smooth communication with compatible systems, making it a reliable choice in demanding environments.

Key Features

• Equipped with 32GB high-bandwidth memory for handling large-scale models
• Supports advanced tensor operations to boost AI and deep learning workflows
• Compatible with PCI Express 3.0 x16 slots for broad server integration
• Built to deliver high double-precision floating point performance
• Optimized for use in scientific simulations and data analytics

This graphics card is typically deployed in server racks and workstation setups used for research, financial modeling, and AI development. Its performance helps reduce processing times and enables more complex analyses than standard GPUs.