As long as you temper your expectations, that is ...

There's a persistent narrative that running AI is a power-hungry endeavor. You've probably seen the headlines about data centers consuming as much electricity as small cities, or about how training a ...

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 ...

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 ...

Perplexity AI unveiled a hybrid local-cloud inference system at Computex 2026 that automatically routes AI tasks between a user’s device and the cloud, signaling a major shift in enterprise AI, ...

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 ...

120+ LLMs through a single API, with day-0 model availability, OpenAI and Anthropic compatibility, and top-ranked performance validated by Artificial Analysis. SAN FRANCISCO, April 21, 2026 ...

Use left and right arrow keys to seek audio. Sipeed has launched its new K3 series Single Board Computers, powered by the RISC-V ISA. Using SpacemiT's new "Fusion Architecture" with dedicated matrix ...

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 ...