Google Cloud expands its enterprise AI push with Accenture, betting on forward-deployed engineers to drive adoption and overcome deployment bottlenecks.
Mirendil has signed a $100 million-plus Google Cloud partnership to expand its compute infrastructure, powering research into self-improving AI systems designed to accelerate scientific discovery and AI development.
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 wants AI startups on its cloud and has showcased a long list of them at its annual conference.
Mira Murati’s Thinking Machines Lab has signed a multibillion-dollar deal with Google Cloud for AI infrastructure powered by Nvidia’s latest GB300 chips, TechCrunch has exclusively learned.
Google’s newest TPUs are faster and cheaper than the previous versions. But the company is still embracing Nvidia in its cloud — for now.
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 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.
Earlier this week, five people who touch every layer of the AI supply chain sat down at the Milken Institute 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.
We’re in the transition period — all of us.