Google has updated its Edge Gallery with Gemma 4 multi-token prediction capabilities, Pixel TPU support, experimental Model Context Protocol (MCP) integration, and persistent chat history functionality. The multi-token prediction feature reduces latency for on-device inference by generating multiple tokens per forward pass—a standard optimization for resource-constrained environments. MCP standardization addresses fragmentation in agent protocol implementations, lowering integration friction across mobile and edge deployments. Persistent chat history removes session reset friction for end-user applications. For builders, this lowers the barrier to deploying interactive agents on-device. Teams can now iterate faster without managing custom protocol bridges between local models and agent frameworks. Operators running inference infrastructure should monitor whether multi-token prediction reduces per-query compute requirements enough to shift cost structures on mobile deployments. The Pixel TPU coupling signals Google's intent to vertically integrate hardware-software optimization, potentially commoditizing edge inference for Android-first applications while raising switching costs for alternative hardware stacks.