Simplismart Blogs

Find out how these companies are realizing better performance at lower costs by partnering with Simplismart

Tech101

SimpliLLM

A Beginner’s Guide to Quantization for Large Language Models (LLMs)

Large Language Models (LLMs) are complex and require a significant amount of computational resources to function effectively. They are designed to understand and generate human-like text, which involves processing vast amounts of data. This blog explores how Quantization can be an effective strategy to save compute time and costs while getting a similar quality.

Read Report

Tech101

SimpliLLM

A primer on optimising Large Language Models (LLMs) for higher inference speeds

Explore how Simplismart accelerates open-source LLM inference using techniques like batching, quantization, speculative decoding, and flash attention—boosting throughput by 30x while optimizing for cost, speed, and real-time performance.

Read Report