Era Raises $11M to Build AI Infrastructure for Next-Gen Smart Devices

Google's new Multi-Token Prediction drafters can make Gemma 4 run up to 3x faster on your own hardware—no cloud required, and no quality lost.

A familiar pattern has emerged in robotics and autonomous systems: a flagship demo runs beautifully on stage, the same system stumbles in a live warehouse two weeks later, and the post-mortem blames “reality” for being messier than the test environment. Some voices in the field argue the missing layer is hardware — better grippers, force-torque […]

Choosing the right AI platform is not as straightforward as most people expect. Both tools are free, capable, and widely used. But the ChatGPT vs Perplexity choice comes down to how you work. One is built for writing. The other is built for search.

Legora, an AI platform built for lawyers, has raised a $50 million extension from Nvidia’s venture arm, NVentures, reports CNBC. The raise brings the Swedish company’s recent Series D funding round total to $600 million. At the time of the first close in March, Legora was valued at $5.5 billion.

When Apple rolled out hardware chief John Ternus as the CEO to replace Tim Cook, the reaction was kind but muted. That’s because Ternus has said nothing yet to indicate he has a specific plan to position Apple for the future. (To be fair, he’s said next to nothing about anything — no easily found social media posts, no big speeches about anything beyond hardware, no major interviews showcasing his vision.  I have long been a fan of Apple, but the “i” people have a lot of problems. Their failure to make Apple an AI leader — not the leader, just a leader — has dominated headlines for two years now. But the truth is that Apple has spent years without the passion and drive that marked the second coming of Steve Jobs as CEO. The clearest example involves the iPhone and the Apple Watch. I used to routinely upgrade my devices once a year, or at least every two years. I am sitting here now with an iPhone 13 Pro Max and an Apple Watch Series 7–the same devices I’ve had for almost five years.  E

The ongoing shift from generative AI (genAI) to agentic AI provides an opportunity for enterprises to move to more nimble and less expensive forms of computing, according to analysts. Early AI models were largely built on expensive GPUs from Nvidia and AMD that offered raw processing power. But newer agentic AI tools, rooted in business process and workflow management, can run on more efficient, cost-effective hardware. As a result, IT decision-makers who still think they require GPUs for anything AI-related need to reconsider their hardware options in terms of both cost and capabilities, analysts said. “A better way of thinking about this is the cost of AI compute and now agentic AI platform services or systems,” said Leonard Lee, principal analyst at Next Curve. “’AI computing’ or ‘accelerated computing’ has clearly transcended the GPU as an inference accelerator.” The new hardware options include CPUs and specialized AI chips, also known as ASICs in semiconductor parlance. Although

Learn the full crypto mining workflow step by step, from hardware setup and transaction selection to block broadcast and profitability optimization in 2026.

John Ternus, Apple's incoming CEO, is a hardware guy, signaling Apple may be putting devices back at the center of its strategy.