MIT

Academic and scientific research often involves the construction of mathematical and numerical models to solve scientific and engineering problems. Traditionally, these complex and intensive computational models have been implemented on super computers or high-performance computing (HPC) infrastructure.  These models are difficult to setup and operate, and can create a painful experience for researchers who often have to wait in a long line to use their university’s super computing infrastructure, whether it’s for a few hours or a few days.

When a team of Rackers powered up our Cloud in a Box for training at the Massachusetts Institute of Technology (MIT) this week, it wasn’t the only OpenStack deployment running at MIT. Not far from our classroom, the MIT Computer Science and Artificial Intelligence Lab (CSAIL) has its own significant OpenStack deployment that has increased computational capacity available to researchers by 25 percent to 50 percent, enabling more research projects, according to Jon Proulx, senior system architect.

We’re continuing to follow our technical training team’s four-night course on OpenStack at the Massachusetts Institute of Technology (MIT). Night three of the course focused on Swift, OpenStack’s massively scalable object storage system that was invented at Rackspace.

After a second night of Rackspace Training for OpenStack at the Massachusetts Institute of Technology (MIT), it’s clear that students and researchers believe OpenStack can help accelerate their projects from aeronautics and astronautics to earth, atmospheric and planetary sciences.

We’re continuing to roll out our training for OpenStack, and this week we launched training at colleges and universities; and we could think of no better place to start than the Massachusetts Institute of Technology (MIT).