Cloud Computing

Organizations running on-premises workloads often face a difficult choice when moving to the cloud: how to modernize without losing the architectural consistency their business depends on. If you use Red Hat OpenShift, you have a way to bridge these environments without the risk of a forced re-platforming.  Google Cloud provides a secure, reliable, and high-performance

The explosion of large language models (LLMs) has increased demand for high-performance accelerators like GPUs and TPUs. As organizations scale their AI capabilities, the scarcity of compute resources is sometimes the primary bottleneck. Efficiently managing every GPU and TPU cycle is no longer just a recommendation — it’s an operational necessity. Kubernetes is becoming the

RSA brings together so many great minds in the security industry. Whether it’s the solution providers continuing to support the ever changing risk landscape, the research community bringing new best practices to others in the field, or in-house security professionals expanding their knowledge to drive more secure experiences in their workforce, there is so much

At Google Cloud, serving the massive-scale needs of large foundation model builders and AI-native companies is at the forefront of our AI infrastructure strategy. As generative AI transitions to mission-critical production environments, these innovators require dynamic, relentlessly efficient infrastructure to overcome complex orchestration challenges and power an agentic future. To meet this moment, we are

This post is co-authored with Ivan Amemoutou, DevOps and Cloud Lead at Generali Malaysia (“Generali”). The insurance industry’s shift to cloud computing has accelerated the development and expansion of digital services. To support this transformation, insurers are modernizing their technology stack with solutions that enhance scalability, portability, and operational efficiency. This digital evolution is driven

The transition toward trillion-parameter AI models has created an exponential demand for computational resources, testing the limits of traditional infrastructure. The seventh-generation Ironwood TPU features Google’s custom-designed AI infrastructure: It is engineered to scale as a holistic system supporting pods of up to 9,216 chips by combining Inter-Chip Interconnect (ICI), Optical Circuit Switch (OCS), Data