Reducing costs is crucial for large-scale inference deployments, enabling higher compute density in data centers. By minimizing unnecessary chip-to-chip connectivity, companies can achieve better price performance, especially when running inference models continuously. The discussion highlights the importance of balancing cost and performance in ongoing operations.
