Google says its AI data center in Minnesota will add clean energy to the grid and protect ratepayers. Experts question whether the grid upgrades are really needed.
n8n explains how small businesses can run common AI jobs, such as drafting emails, summarizing calls, reading invoices or searching their documents, on an NVIDIA DGX Spark machine. The local setup suits firms that cannot send customer data to a cloud API, often for privacy reasons.
After stock crashes and Firmus's cancelled IPO, industry executives expect only seven to ten of the hundreds of AI cloud providers to survive. CoreWeave has lost a quarter of its market value and Microsoft dropped a deal with Nscale for 23,000 Nvidia chips, a risk for Nvidia since customers outside the hyperscalers make up 45% of its data center revenue.
Intel has confirmed that its future Razer Lake-AX chips will deliver almost four times the AI performance of its current products. The goal is to run large language models and, above all, to power the next generation of humanoid robots.
Amazon has launched TorchNeuron, an open-source backend that lets PyTorch code run on its Trainium AI chips with a one-line change. It enters public beta on October 20 under the Apache 2.0 license, supports Trainium2 and Trainium3, and does not yet cover every PyTorch feature.
This white paper describes how edge AI and physical AI could let cities go beyond passive monitoring and act on real-time conditions in public safety, mobility and infrastructure. It argues that processing at the edge cuts latency, keeps sensitive data local and reduces reliance on central cloud systems.