Tag: making
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Hacker News: Gemma3 – The current strongest model that fits on a single GPU
Source URL: https://ollama.com/library/gemma3 Source: Hacker News Title: Gemma3 – The current strongest model that fits on a single GPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the features and capabilities of the Gemma 3 models developed by Google, which are built on Gemini technology and designed for multimodal tasks. Their…
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Cloud Blog: How to deploy serverless AI with Gemma 3 on Cloud Run
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/serverless-ai-with-gemma-3-on-cloud-run/ Source: Cloud Blog Title: How to deploy serverless AI with Gemma 3 on Cloud Run Feedly Summary: Today, we introduced Gemma 3, a family of lightweight, open models built with the cutting-edge technology behind Gemini 2.0. The Gemma 3 family of models have been designed for speed and portability, empowering developers to…
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Cloud Blog: How Google Cloud measures its climate impact through Life Cycle Assessment (LCA)
Source URL: https://cloud.google.com/blog/topics/sustainability/google-cloud-measures-its-climate-impact-through-life-cycle-assessment/ Source: Cloud Blog Title: How Google Cloud measures its climate impact through Life Cycle Assessment (LCA) Feedly Summary: As AI creates opportunities for business growth and societal benefits, we’re working to reduce their carbon intensity through efforts like optimizing software, improving hardware efficiency, and supporting our operations with carbon-free energy. At Google,…
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Cloud Blog: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors
Source URL: https://cloud.google.com/blog/products/databases/how-scann-for-alloydb-vector-search-compares-to-pgvector-hnsw/ Source: Cloud Blog Title: ScaNN for AlloyDB: The first PostgreSQL vector search index that works well from millions to billion of vectors Feedly Summary: Executive Summary – ScaNN for AlloyDB is the first Postgres-based vector search extension that supports vector indexes of all sizes, while providing fast index builds, fast transactional updates,…