Earlier this week, five people who touch every layer of the AI supply chain sat down at the Milken Global Conference in Beverly Hills, where they talked with TechCrunch about everything from chip shortages to orbital data centers to the possibility that the whole architecture that undergirds the tech is wrong.
Google Cloud topped $20B in quarterly revenue for the first time, fueled by surging demand for AI. But capacity constraints mean it could have grown even faster.
Google plans up to $40B investment in Anthropic as AI rivals race to secure massive compute capacity, following the limited release of its powerful, cybersecurity-focused Mythos model.
Google’s newest TPUs are faster and cheaper than the previous versions. But the company is still embracing Nvidia in its cloud — for now.
Mira Murati’s Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by Nvidia’s latest GB300 chips, TechCrunch has exclusively learned.
Google wants AI startups on its cloud and has showcased a long list of them at its annual conference.
The two tech giants are looking to co-develop custom chips, at a time when demand for CPUs is high due to a growing global shortage.
Google has officially acquired Israeli cybersecurity firm Wiz for $32 billion in all-cash, a full year after the companies announced the deal. This marks Google’s biggest acquisition in its history.
As generative AI evolves, a Google VP warns that LLM wrappers and AI aggregators face mounting pressure, with shrinking margins and limited differentiation threatening their long-term viability.
Startup founders are being pushed to move faster than ever, using AI while facing tighter funding, rising infrastructure costs, and more pressure to show real traction early. Cloud credits, access to GPUs, and foundation models have made it easier to get started, but those early infrastructure choices can have unforeseen consequences once startups move beyond […]