Tag: GKE

  • Cloud Blog: 11 ways to reduce your Google Cloud compute costs today

    Source URL: https://cloud.google.com/blog/products/compute/cost-saving-strategies-when-migrating-to-google-cloud-compute/ Source: Cloud Blog Title: 11 ways to reduce your Google Cloud compute costs today Feedly Summary: As the saying goes, “a penny saved is a penny earned," and this couldn’t be more true when it comes to cloud infrastructure. In today’s competitive business landscape, you need to maintain the performance to meet…

  • Cloud Blog: Announcing Claude Sonnet 4.5 on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/announcing-claude-sonnet-4-5-on-vertex-ai/ Source: Cloud Blog Title: Announcing Claude Sonnet 4.5 on Vertex AI Feedly Summary: Today, we’re announcing the general availability of Claude Sonnet 4.5, Anthropic’s most intelligent model and its best-performing model for complex agents, coding, and computer use, on Vertex AI.Claude Sonnet 4.5 is built to work independently for hours, maintaining clarity…

  • Cloud Blog: Accelerating cloud migrations to Google Cloud with Searce to drive profitable growth

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/recent-migrations-to-google-cloud-by-searce/ Source: Cloud Blog Title: Accelerating cloud migrations to Google Cloud with Searce to drive profitable growth Feedly Summary: As companies transition past legacy infrastructure and set themselves up for growth in AI, multi-cloud, and platform engineering requirements, many are looking to Google Cloud for its reliability, performance, and cost benefits.To achieve successful…

  • Cloud Blog: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design

    Source URL: https://cloud.google.com/blog/topics/customers/escalante-uses-jax-on-tpus-for-ai-driven-protein-design/ Source: Cloud Blog Title: AI Innovators: How JAX on TPU is helping Escalante advance AI-driven protein design Feedly Summary: As a Python library for accelerator-oriented array computation and program transformation, JAX is widely recognized for its power in training large-scale AI models. But its core design as a system for composable function…