computing power
3 stories filed under computing power on Beyond Market Intelligence. The newest of them: “Unlock AI on Your Glasses: PrismML’s Innovation Powers Smarter Devices”, “Testing Local LLMs Against a 90-Tool Personal Assistant”, and “Cloudflare's Kitesurf redefines browser efficiency for AI agent workflows”. Wearing your computing power on your face is one thing. Twenty-seven production tasks. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every computing power story on Beyond Market Intelligence, newest first.

Unlock AI on Your Glasses: PrismML’s Innovation Powers Smarter Devices
Wearing your computing power on your face is one thing. Putting open-weight AI directly on those devices is another. PrismML's push toward on-device models means your glasses could soon process data without leaning on the cloud. It's a smarter use of hardware you already own. For a deeper look at how such systems handle the heavy lifting behind the scenes, our guide to distributed algorithms pairs well with this. Expect less dependence on servers and more speed where it matters.

Testing Local LLMs Against a 90-Tool Personal Assistant
Twenty-seven production tasks. Two local models. One hardware upgrade. That is the experiment at the heart of this piece, and the results are telling. The question is not whether local AI can match Claude feature-for-feature, but what it truly takes to replace the brain behind a 90-tool personal agent. The answer, unsurprisingly, is nuanced. For anyone questioning their own AI dependencies, this is a grounded, practical read.

Cloudflare's Kitesurf redefines browser efficiency for AI agent workflows
Cloudflare's Kitesurf is a browser built for AI agents, not people, and that distinction matters. It runs on cloud-hosted infrastructure while using less computing power than Chromium for common automation tasks, which gives developers a more efficient path to building browser-based agents. It's a practical step toward making AI workflows less resource-heavy and more accessible. If you're exploring how AI handles tasks beyond retrieval, our guide to bridging retrieval and action offers a useful companion perspective.