Accelerating Gemma 4: faster inference with multi-token prediction drafters

Google has released Multi-Token Prediction (MTP) drafters for Gemma 4 that achieve up to 3x faster inference speeds through speculative decoding, enabling developers to deploy responsive AI applications with zero quality degradation. This advancement significantly reduces the memory-bandwidth bottleneck that constrains LLM inference, making high-performance AI viable on edge devices, consumer hardware, and local development environments while preserving battery life and reasoning accuracy. For IT organizations, this represents a critical opportunity to reduce AI application latency, lower infrastructure costs through efficient on-device processing, and accelerate time-to-production for generative AI initiatives across coding assistants, autonomous agents, and real-time applications.

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Accelerating Gemma 4: faster inference with multi-token prediction drafters
Google has released Multi-Token Prediction (MTP) drafters for Gemma 4 that achieve up to 3x faster inference speeds through speculative decoding, enabling developers to deploy responsive AI applications with zero quality degradation. This advancement significantly reduces the memory-bandwidth bottleneck that constrains LLM inference, making high-performance AI viable on edge devices, consumer hardware, and local development environments while preserving battery life and reasoning accuracy. For IT organizations, this represents a critical opportunity to reduce AI application latency, lower infrastructure costs through efficient on-device processing, and accelerate time-to-production for generative AI initiatives across coding assistants, autonomous agents, and real-time applications.