Author name: Marcelo Acosta

A data center consuming the power of ten nuclear reactors. That’s the scale of Nvidia’s $100 billion commitment to OpenAI, announced this month. The partnership will deploy 10 gigawatts of AI computing infrastructure, fundamentally reshaping how we think about artificial intelligence development and deployment. This isn’t just another tech partnership. It’s a strategic bet on […]

OpenAI has officially announced its partnership with Oracle to develop an additional 4.5 gigawatts of Stargate AI data center capacity in the United States. This agreement, widely reported as potentially worth over $300 billion, represents one of the largest known AI infrastructure commitments to date. The partnership advances OpenAI’s broader commitment to build AI infrastructure

Apple’s September 9th announcement of the iPhone 17 lineup introduced several confirmed features alongside significant speculation about technical specifications and capabilities. The launch includes the new iPhone Air model and iOS 26’s Liquid Glass design language, but many circulating details remain unverified. Understanding the difference between confirmed features and industry speculation becomes crucial for enterprise

Meta’s announcement of the Ray-Ban Display glasses with Neural Band control marks a pivotal moment in consumer augmented reality. The $799 package, launching September 30th, represents the first mainstream attempt to combine visual AR displays with gesture-based control through electromyography sensors. The technical approach differs significantly from previous AR attempts. Rather than pursuing complex holographic

Microsoft’s September 2025 Patch Tuesday addresses 81 vulnerabilities across Windows, SQL Server, and related components. Two of these vulnerabilities were publicly disclosed prior to patch availability, increasing the urgency for enterprise remediation efforts. The September update cycle demonstrates the ongoing challenges of enterprise security management, particularly around legacy authentication mechanisms and third-party library dependencies that

The browser wars just shifted into high gear, but this time it’s not about JavaScript performance or CSS features. Firefox 141 landed with production-ready WebGPU support, Safari’s implementation is gaining momentum, and suddenly the browser has become a legitimate platform for AI inference. This isn’t another “coming soon” story—teams are shipping WebGPU-powered AI applications today.

Google’s August AI announcements buried the useful updates under flashy consumer features and hardware launches. While everyone focused on new Pixel devices and image editing tricks, the real story is about enterprise capabilities that fundamentally change how teams analyze data, solve complex problems, and prototype ideas. Here’s what actually matters for teams building products and

Most mobile AI today is either terrible or fake. Apps that claim “AI-powered” features are usually just making API calls to OpenAI or Google, burning through your data plan and battery while sending your private information to servers you’ll never see. Liquid AI just changed that equation with LFM2 and LEAP—tools that make genuinely intelligent

Amazon Bedrock AgentCore: Bringing Agentic AI to Production The gap between building an impressive AI agent demo and shipping it to production has historically been enormous. With Amazon Bedrock AgentCore, AWS closes much of that gap. AgentCore provides the unglamorous but critical infrastructure needed to run AI agents at enterprise scale, while Amazon Q Developer

The AI agent worked perfectly in the demo. It could answer questions, search through documents, and even schedule meetings by talking to Slack. But when the enterprise AI team tried to deploy it for 500 users across multiple departments, everything broke. Authentication failed. Memory leaked between sessions. The integration with Salesforce required custom middleware. Observability