ChipsThe story, in brief
NVIDIA and Google infrastructure cuts AI inference costs
10x cheaper. Google and NVIDIA just solved AI inference's biggest cost problem with bare-metal A5X instances.
The KeyNews take
Why it matters
Google and NVIDIA are directly addressing inference economics—the bottleneck blocking AI deployment at scale. Hardware-software codesign targeting 10x cost reduction changes the unit economics of production AI workloads.
The key facts
5 to knowA5X bare-metal instances announced
Built on NVIDIA Vera Rubin NVL72 rack-scale systems
Claims up to 10x lower inference costs
Hardware-software codesign approach
Announced at Google Cloud Next 2026
Go to the source
AI Newsartificialintelligence-news.com
Publisher excerpt: At the Google Cloud Next conference, Google and NVIDIA outlined their hardware roadmap designed to address the cost of AI inference at scale. The companies detailed the new A5X bare-metal instances, which run on NVIDIA Vera Rubin NVL72 rack-scale systems. Through hardware and software codesign,…