Dozens of concurrent AI sessions sharing one small model — with 300MB of L3 on the 8568Y+, does the edge mostly come down to cache hits?

  In this pattern, hits are the edge. With the weights lying wholly in 300MB of L3, every request skips a memory round-trip; 48 cores with 96 threads plus AMX turn that saving directly into concurrent throughput, and the 4GHz boost holds single-request tails. The premise is narrow: the model must fit in cache, and weight traffic past 300MB queues back on the eight memory channels.

  Teams serving many concurrent small-model sessions with latency on their minds get their money back from this cache; when models run into the hundreds of gigabytes, the advantage thins and budget belongs in memory and cores. Measure how well the working set sits in L3 before launch — the hit-rate number is more honest than any spec-sheet line.