For a team sharing one local AI model, is the 128MB-cache Ryzen 9 PRO 9965X3D an underrated answer?

  It serves the single person inside a crowd. Shared local models produce a natural stream of batch=1 requests, and 128MB L3 steadies first-token latency across each question while 16 cores/32 threads with a 5.5GHz boost police concurrency and 256GB of RAM backs up long contexts. Boardroom demos and internal knowledge-base chats are its home turf.

  When dozens of users hammer it simultaneously for throughput, the cache edge fades and memory bandwidth plus GPUs take over the job. Size the actual workload before buying for the team: an interactive-heavy mix justifies the cache premium, while a throughput-heavy one simply moves the bottleneck to bandwidth that no cache can buy back.