Supercomputing and AI for Research
NYU has prioritized the expansion of computing resources dedicated to the field of artificial intelligence, including the acquisition of Hudson, a powerful supercomputing cluster with the core function of empowering AI research.
- The Artificial Intelligence service provides access to in-house and on public clouds high-end computing resources and AI frameworks (such as Caffe, TensorFlow, and PyTorch).
- The Machine Learning service includes consultations with researchers, training materials and high-end computing resources to support Machine Learning research.
For NYU community members, NYU IT is offering early access to a private generative AI tool pilot. In this case, private means run by NYU as an internal, secure, managed service. The pilot enables you to submit project ideas and request access to utilize the private generative AI pilot for use in research, instruction, or administrative activities performed by Faculty and/or Administrators in NYU.
NYU supports High Performance Computing and networking for researchers and scholars whose work is computer-intensive. The service includes shared cycles on several high performance clusters equipped with a variety of research software packages, and the option to purchase additional storage beyond standard allocation.
The High Speed Research Network is a specialty low-latency high-bandwidth computer network for use by NYU researchers. Researchers can create and run new types of experiments and analysis over the HSRN, and significantly speed up existing research processes that rely on large data sets. The HSRN also enables researchers to compete for larger, and increasingly interdisciplinary research grants that require access to powerful computational and network resources.