The National Science Foundation (NSF) has awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of California, Los Angeles (UCLA) to develop new approaches for designing scalable network algorithms using a new computational model called CRAM. The grant, which runs from Feb 2024 to Jan 2027, seeks to create intellectual foundations, compilers, and algorithms that leverage the dynamic allocation of content-addressable memory (CAM) and random-access memory (RAM) in network processors to enable internet routing databases and packet processing tasks to scale more effectively. Early results show the CRAM model can enable the Tofino-2 network processor to scale to 5 million IPv4 prefix entries and 700,000 IPv6 prefix entries, far exceeding the capabilities of pure CAM-based implementations. This research aims to help sustain the growth of the internet and associated online services by developing more scalable solutions for critical networking functions.