Categories: AI/ML Research

Choosing an LLM Inference Optimization Technique: A Decision-Tree Approach

In this article, you will learn how to match an LLM inference optimization technique to the actual bottleneck in your workload by working through a…

The Roadmap to Mastering LLM Inference Optimization

In this article, you will learn how LLM inference optimization works and which techniques to apply to make language models faster, cheaper, and more reliable...

September 22, 2026

In "AI/ML Research"

Static vs. Dynamic vs. Continuous Batching in LLM Inference

In this article, you will learn how static, dynamic, and continuous batching work in LLM inference, and why the differences between them matter at production...

August 5, 2026

In "AI/ML Research"

Accelerating LLM Inference on NVIDIA GPUs with ReDrafter

Accelerating LLM inference is an important ML research problem, as auto-regressive token generation is computationally expensive and relatively slow, and improving inference efficiency can reduce latency for users. In addition to ongoing efforts to accelerate inference on Apple silicon, we have recently made significant progress in accelerating LLM inference for…

December 19, 2024

In "FAANG"

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