Marist College and IBM have announced plans to build an interactive digital media infrastructure to provide online resources and tools to the university community. Under the collaborative arrangement, IBM is supplying Marist with a combination of software, hardware, and services to enable a digital media infrastructure that will support the creation, storage, and exchange of digitized content via the Internet. Marist plans to use the technology to implement a variety of new interactive online modules, including: linked and improved access to several digital media archives currently housed at the school; Web-based portals for team rooms, bulletin boards, and instant messaging; orientation materials for new faculty; and college credit bridge courses. The Marist digital media project will use a number of new technologies developed by IBM Research, including Rich Media Distribution Utility (RMDU), Enterprise Media Beans (EMBs), and Xcast. The infrastructure will be built around Digital Media Delivery Solution (DMDS) developed by IBM and Cisco. DMDS is an integrated solution that enables enterprises to deliver digital media, including live video, building on existing network infrastructure. DMDS integrates Cisco Application and Content Networking System (ACNS) with IBM DB2 Content Manager, WebSphere Portal Server and Rich Media Distribution Utility to address the changing requirements of Marist's environment. IBM is supporting the Marist College digital media project through a Shared University Research award. The project also will be supported by IBM software technologies, including WebSphere Application Server, DB2 Universal Database, and DB2 Content Manager, which are made available to Marist faculty and researchers via the IBM Scholars university product portal. IBM's Shared University Research (SUR) program awards computing equipment (servers, storage systems, personal computing products, etc.) and services to colleges, universities and institutions of higher education around the world to facilitate research projects in areas of mutual interest, including: Life Sciences, Grid Computing, Autonomic Computing and Deep Computing.