Tagged "llm-inference-optimization"
5 articles tagged llm-inference-optimization, 11 February 2026 to 16 April 2026. Newest first.
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Prefill Is Compute-Bound, Decode Is Memory-Bound: Optimizing GPU Utilization for LLM Inference
A deep dive into why GPUs shouldn't handle both prefill and decode phases equally, and how understanding this fundamental bottleneck can dramatically improve local LLM inference performance.
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GPU Memory for LLM Inference (Part 1)
A detailed technical guide exploring GPU memory optimization strategies for running large language models efficiently during inference, critical knowledge for anyone deploying LLMs locally with limited VRAM.
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Nummi – AI Companion with Memory and Daily Guidance
Nummi launches as a downloadable AI companion application featuring persistent memory and personalized guidance, showcasing how local LLM deployment enables continuous, context-aware interactions without relying on cloud infrastructure.
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New Header-Only C++ Benchmark Tool for Predictive Models on Raw Binary Streams
A lightweight C++ benchmarking framework has been released specifically for testing predictive models on raw binary streams, offering potential benefits for local LLM inference optimization.
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Mistral AI Debugs Critical Memory Leak in vLLM Inference Engine
Mistral AI's engineering team shares their process for identifying and fixing a significant memory leak in vLLM that was affecting production deployments.