We are thrilled to announce a significant enhancement to Google Cloud NetApp Volumes with the integration of Assured Workloads. This powerful combination empowers organizations to deploy NetApp Volumes in a rigorously secure and controlled environment, specifically designed to meet the stringent compliance demands of highly regulated sectors such as government, healthcare, and financial services.
In many real-world applications, we encounter tasks that sit at the intersection of semantic understanding and contextual judgment. One such common scenario is determining if a set of keywords truly aligns with a brand, its products, and its messaging (like a tagline). This isn't just about whether the words are synonyms; it's about relevance in a specific context. Does "eco-friendly" align well with a fast-fashion brand's new line, even if the tagline mentions "sustainable materials"? Does "high-performance" fit a budget-friendly product?
Metadata is essential for various data initiatives, from deploying NLP solutions and chat with your data applications to enabling semantic search and establishing a business glossary. However, the manual effort of documenting every data attribute within a platform can be time-consuming and error-prone. At Google Cloud Next, we announced BigQuery Data Insights and Automated Metadata Generation, two powerful capabilities that simplify this process using Gen AI.
Ready to unlock the secrets hidden in your product data? This tutorial demonstrates how BigQuery Data Preparation can clean and transform your raw data into actionable business intelligence, using a realistic example from the Fashion and Beauty industry.
Supercharge your SAP systems! ABAP SDK v1.10 unlocks BigQuery AI/ML, simplified event-driven integration, Cloud Storage content repositories & access to 290+ Google Cloud APIs. See what's new.
What if you could create professional-quality videos with just a fraction of the effort? This blog introduces a radical new GenAI workflow on Vertex AI, using models like Gemini, Imagen3, MusicLM and Veo2 etc to make video creation accessible to everyone.
Llama 4, the first multimodal models in the Llama family featuring a Mixture-of-Experts (MoE) architecture, is now available on Vertex AI! You can deploy Llama 4 Scout (with up to 10M token context model) and Llama 4 Maverick on Vertex AI with three lines of code using the Vertex AI Model Garden SDK.
Are you looking for a quick and easy way to set up a development environment with MongoDB without installing anything on your local machine? Look no further than Project IDX, Google’s new web-based IDE. You can use the new MongoDB template in IDX to create a workspace with a running MongoDB instance and start developing in seconds—all for free!
TLDR; Deploy open models on Vertex AI in just THREE lines of code! The new Vertex AI Model Garden CLI and SDK, powered by the Deploy API, offers a model-centric interface, providing a consistent and fluid deployment experience for your open models on Vertex AI.
