XDA Developers on MSN

MoE models changed what fits on my GPU means, and most hardware advice hasn't caught up

My 10-year-old GPU runs 26B LLMs now, and MoE models changed everything about LLM-hosting advice ...
techtarget

How to run LLMs locally: Hardware, tools and best practices

While many organizations rely on public cloud services for large language models, there are compelling reasons to run these models in-house, within an organization's own data center. Organizations ...
Hosted on MSN

Your Laptop Isn’t Ready for LLMs. That’s About to Change

Odds are the PC in your office today isn’t ready to run AI large language models (LLMs). Today, most users interact with LLMs via an online, browser-based interface. The more technically inclined ...
XDA Developers

Your old GPU can still run big LLMs – you just need the right tweaks

Ayush Pande is a PC hardware and gaming writer. When he's not working on a new article, you can find him with his head stuck inside a PC or tinkering with a server operating system. Besides computing, ...

What is the difference between personal PC GPUs and AI data center GPUs? — Performance gaps that go beyond just 'speed'

When looking at news about generative AI, we often see stories about 'AI data centers using thousands of the latest GPUs'.On ...
XDA Developers

After a year of self-hosting LLMs, I realized the real bottleneck isn’t the GPU

Beginning his professional journey in the tech industry in 2018, Yash spent over three years as a Software Engineer. After that, he shifted his focus to empowering readers through informative and ...
SD Times

Understanding the Foundation: How LLMs Process Your Input

Before we can understand how attackers exploit large language models, we need to understand how these models work. This first article in our four-part series on prompt injections establishes the ...

Key Points for Book Selection and Architecture Design for Practical Implementation of Local LLMs

While development using cloud-based generative AI APIs is becoming common, the demand for "local LLMs"—running models on ...
VentureBeat

ScaleOps' new AI Infra Product slashes GPU costs for self-hosted enterprise LLMs by 50% for early adopters

ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra ...