It turns out the rapid growth of AI has a massive downside: namely, spiraling power consumption, strained infrastructure and runaway environmental damage. It’s clear the status quo won’t cut it ...

This innovation could synergize with liquid cooling. Historically, about 40% of data centers' energy use goes toward ...

PewDiePie builds a 10-GPU home AI lab, runs massive models locally, and plans to train his own next-gen chatbot soon.

Discover the hidden factors making AI tools feel less intelligent. Learn how technical trade-offs and hosting decisions impact performance.

The poet Blake wrote that you can see a world in a grain of sand. But even better, you can see a universe in an atom!

AI datacenters are evolving from training to inference, benefiting Broadcom, Marvell & Celestica. Here's why these models are in demand.

Empowered by the Startup Terrace Kaohsiung AWS Joint Innovation Center (JIC), eNeural is redefining the landscape of edge AI ...

Save on AI costs and keep data private. Learn local LLM setup, VRAM and RAM rules, and the best open source models to use in ...

NVFP4 could dramatically lower the barrier for enterprises looking to train powerful, bespoke AI models from scratch.

Harshraj Bhoite’s research presents a scalable framework for building large AI models efficiently on affordable hardware, ...

Artificial Intelligence - Catch up on select AI news and developments from the past week or so. Stay in the know.