3X Speed Boost: Supercharging LLM Inference on Google TPUs

Wed, 06 May 2026 22:22:01 +0000

The cost of generative AI is directly proportional to its latency. If your cutting-edge LLM is taking an eternity to produce a single token, your dreams of real-time conversational agents or rapid code generation are just that – dreams.

The Bottleneck: Sequential Speculative Decoding

Traditional LLM inference, even with optimizations, often resorts to autoregressive generation, token by token. Speculative decoding aims to speed this up by using a smaller, faster “draft” model to predict multiple tokens ahead, which are then verified by the larger, more accurate “target” model. However, the drafting phase itself is typically sequential, mirroring the autoregressive nature of the target model. This becomes the Achilles’ heel, negating much of the potential speedup, especially as models grow larger.

2.5x Faster LLM Inference: Qwen 3.6 27B Achieves Breakthrough with MTP

Wed, 06 May 2026 22:01:39 +0000

The dream of running powerful LLMs locally, with speeds that rival cloud-based solutions, has always been hampered by one critical bottleneck: inference latency. For too long, achieving conversational speeds meant compromising on model size, capabilities, or tolerating sluggish responses. That era is rapidly ending.

The Inference Wall: Why Your LLM is Slow

Traditional LLM inference, often termed Next-Token Prediction (NTP), is inherently sequential. The model predicts one token at a time, then feeds that token back into itself for the next prediction. This autoregressive process, while effective for generating coherent text, is a sequential chokehold on performance. Even with massive hardware, the core computation remains a step-by-step endeavor. This is where the promise of Multi-Token Prediction (MTP) truly shines, and Qwen 3.6 27B is now leading the charge.

Inference on The Coders Blog

3X Speed Boost: Supercharging LLM Inference on Google TPUs

The Bottleneck: Sequential Speculative Decoding

2.5x Faster LLM Inference: Qwen 3.6 27B Achieves Breakthrough with MTP

The Inference Wall: Why Your LLM is Slow