…He's written about everything from UI and UX changes across various apps to emerging software and AI trends. At XDA, he showcases his versatility in the tech reporting space with articles…
…In my experience, that's a smarter and safer way to work with AI. Related After a year of self-hosting LLMs, I realized the real bottleneck isn’t the GPU Hardware…
…Related I turned my home server into an AI appliance, and this is the stack that actually stuck My reliable, low-friction self-hosted AI productivity setup. My non-negotiable productivity workflow…
…host image generation models on a local GPU and use AI features on FOSS apps. In fact, I’ve been tinkering with an AI-heavy Krita instance for the last couple of…
…Servers in datacenters are spun up to handle incoming requests, and you've probably read a news feature or two on just how much power these vast complexes require for handling AI…
…year, few people would have imagined the snowstorm enveloping SSDs and graphics cards, too. Due to unprecedented demand from AI data centers, manufacturers pivoted to enterprise memory and storage, leaving little silicon…
…If your server rack is starting to feel like a burden instead of a playground, it might be time to invite an AI agent into your home lab. Of course, Claude is…
…Plugging Qwen into VS Code via the Continue extension is what made me realize how powerful local AI can be . Continue takes over Copilot's usual job inside VS Code, and gives…
…Mac Mini holds a specific, meaningful advantage is local AI inference. Apple Silicon uses a unified memory architecture, meaning the CPU, GPU, and Neural Engine all draw from the same memory pool…
…audio using free AI diffusion models and other AI tools ComfyUI Are you willing to pay the hardware tax? To run these tools, you need a decent GPU with at least 8GB…