📄️ How to Choose a Model
Criteria for picking a suitable Model
📄️ Multi-GPU Inference
Introduction
📄️ Paged Attention
In today’s fast-paced world, it’s no secret that the demand for GPU resources has never been higher. Nvidia, now the world’s most valuable company, stands as a testament to this soaring demand. With every enterprise racing to transform their business using Generative AI, the need for these powerful machines have become a critical priority. For ML Engineers, the pressure from stakeholders to minimize GPU requirements for running Large Language Models (LLMs) is a constant challenge. It's not just about performance - on the business side, it’s important to squeeze the most value out of every GPU to maximise ROI and keep costs in check.
📄️ Serverless LoRA
This blog introduces the Takeoff Serverless LoRA Inference Engine. This is a LoRA serving framework that allows
📄️ Quantization
Introduction