XDA Developers on MSN
Most people use Ollama or Llama.cpp for local LLMs, but these are the tools I switch to when it gets serious
There's a whole world of tools to launch local LLMs out there, and these are some of the best.
XDA Developers on MSN
I ran local LLMs on Intel's cheapest iGPU, and the results were surprisingly decent
It ain't no match for a dedicated GPU, but you can run some light LLMs on the N100 ...
Since the introduction of ChatGPT in late 2022, the popularity of AI has risen dramatically. Perhaps less widely covered is the parallel thread that has been woven alongside the popular cloud AI ...
Even an older workstation-class eGPU like the NVIDIA Quadro P2200 delivers dramatically faster local LLM inference than CPU-only systems, with token-generation rates up to 8x higher. Running LLMs ...
This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box. Dedicated desktop applications for agentic AI make it easier for relatively ...
Ollama makes it fairly easy to download open-source LLMs. Even small models can run painfully slow. Don't try this without a new machine with 32GB of RAM. As a reporter covering artificial ...
The takeaway: AMD is pushing the idea that artificial intelligence agents don't need to live in the cloud. Its new OpenClaw framework – now equipped with two hardware configurations dubbed RyzenClaw ...
Perplexity AI unveiled a hybrid local-cloud inference system at Computex 2026 that automatically routes AI tasks between a ...
Claude AI from Anthropic has been defining how AI advances for real use cases. Claude Code, an AI-coding and programming partner from Anthropic, is a great tool for writing code and fixing bugs. You ...
Your developers are already running AI locally: Why on-device inference is the CISO’s new blind spot
For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser. Security teams tightened cloud access security broker (CASB) policies, blocked or monitored ...
In a previous article, I ran LLMs on a Raspberry Pi 5, and although I was able to get it working in less than 5 minutes, it took around 17 minutes to run even the most basic task, thereby making it ...
PALO ALTO, Calif.--(BUSINESS WIRE)--Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and ...
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