Earlier this year we announced Gemma, an open weights model family built to enable developers to rapidly experiment with, adapt, and productionize on Google Cloud. Gemma models can run on your laptop, workstation, or on Google Cloud through either Vertex AI or Google Kubernetes Engine (GKE) using your choice of Cloud GPUs or Cloud TPUs. […]

Enterprises operate a large and growing number of APIs — more than 200 on average — each a potential front door to sensitive data. Even more challenging can be figuring out which of these APIs are not actively managed “shadow APIs”. Born from well-intended development initiatives and legacy systems, shadow APIs operate without proper oversight […]

APIs and integrations between applications form the digital nervous system of modern architectures. APIs are the pathways that connect your intelligence (AI models and apps) to data sources spread across different environments and systems, and integrations drive intelligent actions across your SaaS workflows. However, building these APIs and integrations often requires specialized expertise, requiring a […]

Network operators are increasingly adopting service mesh architectures, which provide managed, observable, and secure communication between microservices, allowing them to be composed into robust enterprise applications. And as service mesh deployments scale, organizations are asking for fully managed solutions that cover a range of infrastructure and integrate with the rest of the network services, such […]

At Google Cloud Consulting, we are committed to helping our customers learn, build, operate, and succeed, wherever they are in their cloud journey. We are energized by the transformative potential of generative AI, and while it is getting a lot of attention, the cloud infrastructure that powers it remains essential.  Through thousands of customer engagements […]

How do you store the entire internet? That’s the problem our engineering team set out to solve in 2004 when it launched Bigtable, one of Google’s longest serving and largest data storage systems. As the internet — and Google — grew, we needed a new breed of storage solution to reliably handle millions of requests […]

Navigating the complexities of the data-to-insights journey can be frustrating. Data professionals spend valuable time sifting through data sources, reinventing the wheel with each new question that comes their way. They juggle multiple tools, hop between coding languages, and collaborate with a wide array of teams across their organizations. This fragmented approach is riddled with […]

We are at a pivotal moment for business intelligence (BI). There’s more data than ever impacting all aspects of business. Organizations are faced with increasing user demands for that data, with a wide range of access requirements. Then there’s AI, which is radically transforming how you create and think about every project. The delivery and […]

Yesterday, at Next ‘24, we announced a preview of Gemini in Databases — an AI powered database assistant that simplifies all aspects of database operations including assisted development, performance optimization, fleet management, governance, and migrations. With Gemini in Databases, companies no longer need to exclusively rely on people with specialized skills and custom resources to […]

In the rapidly evolving landscape of artificial intelligence, the demand for high-performance, cost-efficient AI inference (serving) has never been greater. This week we announced two new open source software offerings: JetStream and MaxDiffusion.  JetStream is a new inference engine for XLA devices, starting with Cloud TPUs. JetStream is specifically designed for large language models (LLMs) […]