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#storage data transfer

4 posts

8 Jul

9 min read

As organizations scale modern workloads — from high-throughput databases and network/security appliances to real-time analytics and AI/ML inference — network and block storage performance can quickly become a bottleneck. Standard virtual machines often struggle to balance compute efficiency with the high-volume data-transfer demands of these applications. At Google Cloud Next ‘26, we announced C4N in preview, our first network- and…

networkingstorage data transfercompute

5 min read

In the agentic era, AI is evolving from answering questions to reasoning and taking action. Companies who want to lead in this next phase of AI need computing infrastructure that’s designed and optimized for these new requirements, helping them innovate faster, deliver compelling user and customer experiences, and optimize for cost and energy efficiency — all at massive scale. Today,…

computestorage data transfertpusai infrastructure

24 Jun

2 min read

To maintain business continuity, you need a robust data-backup strategy. While multi-region backups offer the highest availability, many organizations want a more cost-effective way to protect their data against a regional outage, but still adhere to data residency requirements. Building on our foundation of multi-region backup protection, we are excited to announce the general availability (GA) of cross-region backups for…

storage data transfer

9 Jun

6 min read

As enterprise storage footprints scale to billions of objects, AI applications and agentic workloads are fundamentally shifting the role of storage from a passive repository to the foundation of the data platform. This is driven by a surge in unstructured model data and the billions of actions performed on those objects, including session logs and audit trails. To manage this…

storage data transfer