Gemma4 MoE Goes Production: Achieving 2.5x Latency Gains with Speculative Decoding

Gemma4 has successfully transitioned from a lightweight proxy model to a full-scale 26B Mixture-of-Experts stack in production, demonstrating that properly optimized large models can deliver superior performance on TPU hardware. The new system achieves a 2.5x improvement in Time-to-First-Token latency (0.326s) while implementing n-gram speculative decoding, validating that sophisticated MoE architectures are viable for real-world inference workloads at scale. This milestone proves that production-grade systems can balance model intelligence with practical speed requirements without sacrificing competitive throughput.