AI compute crunchGoogle Just Rationed AI to Meta. Your Enterprise Is Next.
Google told Meta it cannot provide all the Gemini computing capacity Meta wants. Google Cloud's backlog nearly doubled, GPU costs surged 150%, and 7 GW of planned U.S. data center capacity has been delayed. The AI compute crunch is no longer a hyperscaler problem — it's an enterprise architecture problem that demands immediate diversification.
June 28, 2026 · 14 min readQualcommQualcomm Spent $4B to Break Nvidia's Lock on Enterprise AI
Qualcomm's $3.92 billion acquisition of Modular — maker of the Mojo language and MAX inference engine — is not a chip deal. It's a direct attack on CUDA, the software platform that has locked 4 million developers and their enterprises into Nvidia's ecosystem for nearly two decades. Combined with a reported $8-10 billion Tenstorrent acquisition, Qualcomm is assembling a $14 billion full-stack alternative for the $255 billion AI inference market. Here's how to assess your own Nvidia lock-in and plan a multi-vendor inference strategy.
June 26, 2026 · 17 min read