You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Measurement harness for the sliding window attention premium in the vLLM TPU Ragged Paged Attention v3 kernel: per layer decode cost, block size control, throughput, and goodput for Gemma 4 31B on TPU v6e.
Simulates LLM serving admission control strategies (None, MaxConcurrency, TokenBudget, SLOAware, Predictive) across 135 configurations. Key findings: tight token budget (4096) achieves 10x better goodput than loose budget; predictive control is the only strategy maintaining SLO compliance at 100ms; SLOAware is fundamentally unstable under sustained