A Review on Methods to Optimize LLM's KV|Cache Consumption

The KV (Key-Value) Cache in large language models (LLMs) plays an important role in the model's operation and its memory usage.

Efficient Data Processing for LLMs and AI: Ultimate Guide

Vector Databases · Data Compression · Parallel Processing · Caching · Hardware Acceleration · Optimize Algorithms · Data Cleaning and Preprocessing ...

Ipex Llm Kernel Usage Examples | Restackio

In summary, optimizing LLMs for CPU inference involves a multifaceted approach that includes effective memory management, advanced quantization ...

SimLayerKV: An Efficient Solution to KV Cache Challenges in Large ...

By focusing on reducing inter-layer redundancies through selective KV cache trimming, it allows for significant memory savings with minimal ...

Build Faster and Cheaper LLM Apps With Couchbase and LangChain

Semantic caching is a sophisticated caching technique that uses vector embeddings to understand the context and intent behind queries. Unlike ...

Unlocking the Future of AI: How CacheGen is Revolutionizing Large ...

An illustration of how much FASTER inference can be if the KV cache of the long document is delivered efficiently to LLMs via CacheGen. CacheGen ...

Advanced Techniques for Enhancing LLM Throughput - PromptCloud

As we do batching to improve the throughput, it also comes at the cost of increased KV cache memory requirement, since we are now processing ...

Optimize LLM inference with "attention offloading" - TechTalks

Specifically, KV cache and attention operations are more dependent on GPU memory rather than very fast compute. And their memory consumption ...

python - How do I sort a dictionary by value? - Stack Overflow

In Python3 since unpacking is not allowed we can use x = {1: 2, 3: 4, 4: 3, 2: 1, 0: 0} sorted_x = sorted(x.items(), key=lambda kv: kv[1]).

Hands-on Guide to LLM Caching with LangChain to Boost LLM ...

Implementing LLM Response Caching ... Memory caching is a technique used in computer systems to improve the performance of accessing data. It ...

Look-Once Optimization in KV Cache for Efficient Multimodal Long ...

In train- able Compression, methods like LESS (Dong et al.,. 2024) and DMC (Nawrot et al., 2024) adapt LLMs to compress KV caches by training on selected.

Understanding the LLM Inference Workload - Mark Moyou, NVIDIA

... methods, KV Cache budgets, input and output token length predictions, model adapter management and much more. - Why LLM inference is ...

A Review on Methods to Optimize LLM' s KV-Cache Consumption

在本文中，我们剖析了KV-Cache的各种属性，并详细阐述了目前用于优化LLMs的KV-Cache空间使用的各种方法。这些方法涵盖了预训练阶段、部署阶段和推理阶段，并 ...

Mastering LLM Caching for Next-Generation AI (Part 2)

From single-layer caching to multi-tiered approaches, we examined how different caching techniques can dramatically improve the responsiveness ...

Unleashing Azure PTUs Throughput with KV-Cache-Friendly Prompt

Key-Value (KV) caching is a technique employed in generative transformer models, such as language models (LLMs), to optimize the inference ...

A Review on Methods to Optimize LLM' s KV-Cache Consumption

kuanhoong (@_kuanhoong_). 23 Likes. [arXiv] Keep the Cost Down: A Review on Methods to Optimize LLM' s KV-Cache Consumption This AI Paper ...

MIT HAN Lab

... improve LLM serving efficiency. Our AWQ models on HuggingFace has received ... This tutorial introduces how to use the Once-for-All (OFA) Network to ...

‪Yao Yao‬ - ‪Google Acadèmic‬ - Google Scholar

Keep the Cost Down: A Review on Methods to Optimize LLM's KV-Cache Consumption. S Luohe, Z Hongyi, Y Yao, L Zuchao, Z Hai. arXiv preprint arXiv:2407.18003, 2024.

GPTCache: An Open-Source Semantic Cache for LLM Applications ...

... Caching: Systems such as GPTCache [23] and Mean-Cache [35] use embedding models to reply to LLM queries with saved responses. Others have improved on the ...

LLM Inference Optimization: Accelerating Long Context Generation ...

To enable larger batch sizes or sequence lengths, the KV cache can be offloaded to CPU memory, as shown in (b). While this approach alleviates ...