Neura News

AI News

News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.

Latest News

6 articles

Industry

Data center electricity use could quadruple by 2035

A new report from BloombergNEF predicts that U.S. data centers will consume four times more electricity by 2035, accounting for one-fifth of the nation's total power generation. The surge is driven by AI compute demand, with nearly half of new capacity going to training and inference. The forecast is 83% higher than BloombergNEF's previous estimate, reflecting rapid data center development and strained electrical grids.

Jul 213 minNeura News

AI Models

Meta in talks to sell AI compute to Anthropic in $10B deal

Meta is reportedly negotiating a deal to rent out compute capacity from its data centers to Anthropic. The arrangement could be worth up to $10 billion over two years. Anthropic proposed the deal in June, and Meta is still reviewing it. Either party could walk away. For Meta, this would create a new revenue stream, as CEO Mark Zuckerberg had previously indicated he would sell excess capacity if internal AI demand fell short.

Jul 173 minNeura News

AI Models

China's Kimi K3 Challenges Western AI Compute Advantage

Moonshot AI's Kimi K3 model is reportedly close to matching top Western AI models, raising fresh doubts about U.S. export controls. The model's performance, achieved with limited computing power, has impressed researchers and sparked debate about the role of compute in AI capability. An OpenAI strategist warns against open-weight models, while experts note the model's high cost per task.

Jul 175 minNeura News

Industry

Enterprises buy AI compute faster than they can measure costs

A new VentureBeat Pulse Research survey of 107 enterprises reveals a significant gap between AI infrastructure spending and the ability to track its economics. Most organizations run AI on hyperscalers and model APIs, but the next dollar is aimed at specialized compute they rarely use today. GPU utilization is at 50% or less for 83% of respondents, and fewer than half rigorously track compute costs. A majority plan to switch or add providers within the year.

Jul 166 minNeura News

Industry

Anthropic Spends 2.3x More on AI Compute Than Engineer Pay

Anthropic now spends 2.3 times its payroll on AI compute, equating to $515,000 per engineer each year against a fully-loaded salary of $224,000. In contrast, the top 1% of software companies spend $89,000 per engineer and the median spends only $137. Three scenarios for 2029 explore how this gap may close, driven by token deflation, agentic workloads, and open-weight model competition.

Jul 63 minNeura News

Funding

Amp Raises $1.3 Billion for Shared AI Compute Pool

Amp, a startup in Menlo Park, California, has secured more than $1.3 billion to build a global pool of specialized computer chips for AI training. Founded by Anjney Midha, the company aims to provide access to computing power for startups, universities, and others excluded by tech giants like Amazon, Google, Anthropic, and OpenAI. Investors include Andreessen Horowitz and Y Combinator, with partners such as Periodic Labs and ElevenLabs joining the effort.

May 123 minNeura News