Tag: model serving

  • Cloud Blog: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library

    Source URL: https://cloud.google.com/blog/products/data-analytics/gemini-and-vertex-ai-for-spark-with-dataproc-ml-library/ Source: Cloud Blog Title: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library Feedly Summary: Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models,…

  • Simon Willison’s Weblog: Anthropic status: Model output quality

    Source URL: https://simonwillison.net/2025/Sep/9/anthropic-model-output-quality/ Source: Simon Willison’s Weblog Title: Anthropic status: Model output quality Feedly Summary: Anthropic status: Model output quality Anthropic previously reported model serving bugs that affected Claude Opus 4 and 4.1 for 56.5 hours. They’ve now fixed additional bugs affecting “a small percentage" of Sonnet 4 requests for almost a month, plus a…

  • Cloud Blog: Start and scale your apps faster with improved container image streaming in GKE

    Source URL: https://cloud.google.com/blog/products/containers-kubernetes/improving-gke-container-image-streaming-for-faster-app-startup/ Source: Cloud Blog Title: Start and scale your apps faster with improved container image streaming in GKE Feedly Summary: In today’s fast-paced cloud-native world, the speed at which your applications can start and scale is paramount. Faster pod startup times mean quicker responses to user demand, more efficient resource utilization, and a…

  • Cloud Blog: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/take-an-open-model-from-discovery-to-endpoint-on-vertex-ai/ Source: Cloud Blog Title: Your guide to taking an open model from discovery to a production-ready endpoint on Vertex AI Feedly Summary: Developers building with gen AI are increasingly drawn to open models for their power and flexibility. But customizing and deploying them can be a huge challenge. You’re often left wrestling…

  • Cloud Blog: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/deploying-llama4-and-deepseek-on-ai-hypercomputer/ Source: Cloud Blog Title: Accelerate your gen AI: Deploy Llama4 & DeepSeek on AI Hypercomputer with new recipes Feedly Summary: The pace of innovation in open-source AI is breathtaking, with models like Meta’s Llama4 and DeepSeek AI’s DeepSeek. However, deploying and optimizing large, powerful models can be  complex and resource-intensive. Developers and…

  • The Register: A closer look at Dynamo, Nvidia’s ‘operating system’ for AI inference

    Source URL: https://www.theregister.com/2025/03/23/nvidia_dynamo/ Source: The Register Title: A closer look at Dynamo, Nvidia’s ‘operating system’ for AI inference Feedly Summary: GPU goliath claims tech can boost throughput by 2x for Hopper, up to 30x for Blackwell GTC Nvidia’s Blackwell Ultra and upcoming Vera and Rubin CPUs and GPUs dominated the conversation at the corp’s GPU…