NVIDIA® Tesla® GPU Accelerators enable computational chemistry and biology researchers to push the boundaries of discovery. Compared to CPUs, GPUs run common molecular dynamics, quantum chemistry, visualization, and docking applications more than 5 times faster.
Why GPUs for Computational Chemistry:
- Gain deeper insights by running larger systems, more systems or longer simulation timeframes.
- Replace several CPU cluster nodes with single GPU node.
- Access supercomputer scale performance without waiting for shared resources.
- Cost effective with higher simulation performance per dollar and per watt.
Hear from lead application developers why they chose to develop on GPUs:
Computational Chemistry WebinarsJoin live or stream computational chemistry webinars presented by application developers and users
|GPU Accelerated Computational Chemistry Applications|
> Molecular Dynamics
> Quantum Chemistry
> Visualization and Docking
> Breakthrough In HIV Research Enabled By NVIDIA GPU Accelerators: University of Illinois – Urbana Champaign
> Exploring the science of ice cream with a supercomputer: University of Edinburgh
> Complex Multi-Phase Flow Molecular Dynamics Simulation: Chinese Academy of Sciences
> UK: Thai Researchers Enlist NVIDIA Tesla GPUs To Fight The Next H1N1 Epidemic: Bristol University
> Will Your Next Shampoo Be Developed On GPUs?: Temple University/Procter & Gamble
> What is GPU Computing?
> Medical Imaging
> Where to Buy