Google Research just published a way to cut AI serving costs by 50% with zero accuracy loss. The interesting part is what happens to the ISVs who figure this out first.
The Hidden Tax on Every AI Training Run
Accelerator utilization rates below 70% are not a GPU problem. They are a storage problem. Google Cloud’s Hyperdisk ML changes that with multi-attach volumes and sub-millisecond training data latency.
Google Built a TPU for the Age of Inference. Meet Ironwood.
TPU Ironwood is Google’s 7th-generation custom AI chip, and unlike its predecessors, it was built for inference first. Here’s what that means and why it matters.
What GKE Inference Gateway Does That No Other Load Balancer Can
Standard load balancers treat LLM inference like any other HTTP traffic. That is expensive and slow. GKE Inference Gateway knows the difference.