Generative AI is no longer just an experiment. The real challenge now is quantifying its value. For leaders, the path is clear: make AI projects drive business growth, not just incur costs. Today, we’ll share a simple three-part plan to help you measure the effect and see the true worth of your AI initiatives. This […]
Three-part framework to measure the impact of your AI use case Read More »
For large enterprises adopting a cloud platform, managing network connectivity across VPCs, on-premises data centers, and other clouds is critical. However, traditional models often lack scalability and increase management overhead. Google Cloud’s Network Connectivity Center is a compelling alternative. As a centralized hub-and-spoke service for connecting and managing network resources, Network Connectivity Center offers a
Building scalable, resilient enterprise networks with Network Connectivity Center Read More »
Security leaders are clear about their priorities: After AI, cloud security is the top training topic for decision-makers. As threats against cloud workloads become more sophisticated, organizations are looking for highly-skilled professionals to help defend against these attacks. To help organizations meet their need for experts who can manage a modern security team’s advanced tools,
Prove your expertise with our Professional Security Operations Engineer certification Read More »
Whether you’re leading an engineering team today or preparing for an AI-integrated future, this conversation provides practical insights into where AI can have the greatest impact on your software delivery process.
How AI is reshaping developer teams and the future of software development Read More »
As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make predictions or decisions based on new, unseen data. While great at training models, traditional GPU-based serving architectures struggle with the “multi-turn” nature
Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Read More »
At Google Cloud Next 2025, we announced new inference capabilities with GKE Inference Gateway, including support for vLLM on TPUs, Ironwood TPUs, and Anywhere Cache. Our inference solution is based on AI Hypercomputer, a system built on our experience running models like Gemini and Veo 3, which serve over 980 trillion tokens a month to
Scaling high-performance inference cost-effectively Read More »
For promising Gen Z students, a career as a software developer seemed like the golden ticket to career stability and success. But in the age of AI, the career promise for Gen Z software developers is gone.
AI vs Gen Z: How AI has changed the career pathway for junior developers Read More »
For promising Gen Z students, a career as a software developer seemed like the golden ticket to career stability and success. But in the age of AI, the career promise for Gen Z software developers is gone.
AI vs Gen Z: How AI has changed the career pathway for junior developers Read More »
Consumer search behavior is shifting, with users now entering longer, more complex questions into search bars in pursuit of more relevant results. For instance, instead of a simple “best kids snacks,” queries have evolved to “What are some nutritious snack options for a 7-year-old’s birthday party?” However, many digital platforms have yet to adapt to
Deliver intuitive shopping experiences with Conversational Commerce agent Read More »
Consumer search behavior is shifting, with users now entering longer, more complex questions into search bars in pursuit of more relevant results. For instance, instead of a simple “best kids snacks,” queries have evolved to “What are some nutritious snack options for a 7-year-old’s birthday party?” However, many digital platforms have yet to adapt to
Deliver intuitive shopping experiences with Conversational Commerce agent Read More »
