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AI infrastructure company Upscale AI is reportedly in talks to raise its third funding round, with a potential valuation reaching $2 billion. The company, which launched just seven months ago, has quickly established itself as a key player in the AI hardware and software space.
This explainer explores the concept of Terafab AI chip plants and their significance in advancing AI hardware capabilities. Learn about the specialized manufacturing processes and industry supply chain dynamics driving next-generation AI chip development.
This article explains the technical challenges and AI integration complexities involved in developing smart glasses, showing how Apple's approach reflects the maturation of augmented reality hardware development.
Anthropic has signed a multi-gigawatt TPU deal with Google and Broadcom to secure computing capacity for AI development, with resources expected to come online in 2027.
Nvidia sets new MLPerf records with 288 GPUs while AMD and Intel pursue different strategic paths in AI hardware competition.
This explainer article explains what AI infrastructure is, how it works, and why it's crucial for modern AI systems.
Israeli AI startup NeuReality has appointed former Google AI director Shalini Agarwal to guide its NR-NEXUS inference operating system into the market.
This article explains the significance of Meta's $27 billion AI infrastructure deal with Nebius, covering specialized hardware investments, cloud computing partnerships, and the strategic importance of compute resources in AI development.
This article explains the advanced neural interface technology behind the mysterious device spotted on Joe Gebbia, covering neural decoding, AI processing, and the convergence of human and artificial intelligence systems.
MatX, a startup founded by former Google TPU engineers, has raised $500 million to compete with Nvidia in the AI chip market. The company aims to offer more efficient and cost-effective AI hardware solutions.
Meta and AMD have entered a multi-year partnership involving up to six gigawatts of GPUs and a 10% equity stake, mirroring AMD's previous OpenAI deal.
Nvidia's Q4 results are expected to be a critical indicator of confidence in the AI hardware market, with the company's dominance in AI computing under close scrutiny.