Google Cloud has announced several new capabilities to make it easier to build intelligent AI apps, including Spanner Graph, vector search, and advanced full-text search. The company is also transforming the developer experience with Bigtable SQL and Bigtable distributed counters. Additionally, Google Cloud is making major announcements to support customers with their traditional enterprise workloads, including SQL Server and Oracle.

Source: https://cloud.google.com/blog/

Google Cloud is partnering with Y Combinator to support AI startups, providing dedicated access to GPUs, TPUs, cloud credits, and support and mentorship. Over half of the world's generative AI startups are building on Google Cloud, using its AI-optimized infrastructure, GPUs, and TPUs to build the next generation of AI applications, models, and tooling.

Source: https://cloud.google.com/blog/

Google Compute Engine has announced the general availability of X4 and C3 bare-metal machine types to help ease and accelerate the migration of enterprise workloads to the cloud. The new X4 instance series includes three new instance types for extra-large in-memory databases, while the C3 bare-metal shapes cater to various applications.

Source: https://cloud.google.com/blog/

Russian hackers, allegedly linked to APT44 or Sandworm, claimed to have disrupted a water facility in Texas, posting videos of themselves manipulating control systems. The U.S. Treasury sanctioned two members of the Russian hacktivist group. The incident highlights the vulnerability of America's water systems to cyberattacks, with threats coming from both criminal and foreign military sources.

Source: https://cloud.google.com/blog/

BigQuery, Google's AI-ready cloud data platform, is integrated with Vertex AI, Google's fully-managed AI development platform, to enable organizations to leverage generative AI models, such as Gemini, and AI services to work with unstructured data in BigQuery object tables. This integration allows users to analyze data using powerful large language models, including Gemini 1.0 Pro and Gemini 1.0 Pro Vision.

Source: https://cloud.google.com/blog/

OpenTelemetry, an open-source observability standard, has announced a new curated pipeline for Google Kubernetes Engine (GKE) to simplify the process of collecting OTLP data from instrumented applications and exporting it to Cloud Observability.

Source: https://cloud.google.com/blog/

Google Cloud's Applied AI Engineering team has designed and developed generative AI solutions for various applications. The team has gained valuable insights and shares three design principles: offering frictionless experiences, building trust through transparency, and explaining AI's role in the user journey.

Source: https://cloud.google.com/blog/

Google Cloud AI has developed a virtual try-on technology for sarees, which involves an end-to-end pipeline on the Google Cloud Platform. The pipeline processes images of sarees uploaded by distributors, using a custom AI solution and Vertex AI Imagen to enhance image quality. The resulting image can be used to generate product catalogs.

Source: https://cloud.google.com/blog/

Source: https://cloud.google.com/blog/

Google Cloud's Dataplex Catalog now allows Cloud SQL customers to easily catalog their data, enabling deeper insights, streamlined data management, and accelerated data-driven initiatives. This integration helps organizations discover, understand, and manage their Cloud SQL resources, including instances, databases, tables, and views.

Source: https://cloud.google.com/blog/