eBook: Best practices to accelerate inference for large-scale production workloads -- Pure AI

eBook: Best practices to accelerate inference for large-scale production workloads

Inference costs scale with every user request — and the features users love most burn through margin fastest. For AI-native companies, that's the difference between 80% SaaS margins and the 40–60% reality most teams are navigating.

This ebook breaks down four techniques Together AI uses to optimize production inference: speculative decoding, optimized kernels, near-lossless compression, and hardware acceleration.

What's inside:

Speculative decoding: up to 3x faster generation, no quality change
Optimized kernels: what off-the-shelf frameworks leave on the table
Near-lossless compression: faster inference without model degradation
Hardware acceleration: why chip selection multiplies every other optimization

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