How Google Uses Ollama
13 engineering articles about Ollama from Google's engineering team
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Deploying secure, real-time Edge AI on Raspberry Pi is now simplified using LiteRT and lightweight Gemma open models. LiteRT optimizes CPU and GPU performance, delivering fast token speeds for models like Gemma4, enabling real-time local reasoning for robotics. Developers can quickly convert, quantize, and run these models using the lightweight LiteRT CLI tool. Support for Hailo AI accelerators is also coming very soon.
Lu Wang, Terry Heo, Naushir Patuck, José María Casanova
9 min read
Includes Code
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The newly released Gemma 4 12B is a dense, multimodal model designed for high-performance local AI execution on consumer devices. By introducing a novel, encoder-free architecture, it bypasses traditional visual and audio encoders to feed multimodal data directly into the LLM backbone.
André Susano Pinto, Andreas Steiner, Karolis Misiunas, Karsten Roth, Michael Tschannen, Omar Sanseviero
6 min read
Includes Code
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The article discusses the integration of Google’s Agent Development Kit (ADK) for Java with the LangChain4j LLM framework, enabling developers to utilize a variety of Large Language Models (LLMs) f...
The article announces the release of Genkit Go 1. 0, a stable, production-ready open-source AI development framework for the Go ecosystem.
EmbeddingGemma is an innovative open embedding model designed for on-device AI applications, featuring 308 million parameters for efficient performance.
Min Choi, Sahil Dua, Alice Lisak
5 min read
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The article introduces Gemma 3 270M, a compact AI model designed for hyper-efficient task-specific fine-tuning.
Olivier Lacombe, Kathleen Kenealy, Kat Black, Ravin Kumar, Francesco Visin, Jiageng Zhang
5 min read
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The article introduces Gemma 3n, a mobile-first architecture designed for on-device AI, highlighting its multimodal capabilities and architectural innovations.
Omar Sanseviero, Ian Ballantyne
9 min read
Includes Code
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The article discusses the launch of Gemma 3, a state-of-the-art AI model optimized for consumer GPUs through Quantization-Aware Training (QAT).
Edouard YVINEC, Phil Culliton
6 min read
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Gemma 3 is the latest version of the Gemma open-model family, boasting enhanced capabilities such as multimodality, longer context windows, and improved reasoning.
Omar Sanseviero, Philipp Schmid
5 min read
Includes Code
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The article discusses the launch of ShieldGemma 2, a safety content classifier model built on Gemma 3, aimed at detecting harmful content in both synthetic and natural images.
Dana Kurniawan, Wenjun Zeng, Ryan Mullins
3 min read
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The article discusses the advancements in responsible AI through the introduction of Gemma 2, which includes models with 27 billion and 9 billion parameters, emphasizing safety and accessibility.
Neel Nanda, Tom Lieberum, Ludovic Peran, Kathleen Kenealy
6 min read
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Genkit for Go is an open-source framework designed to help developers build scalable AI-powered applications using the Go programming language.
The article recaps the Google I/O 2024 event, highlighting advancements in AI technologies aimed at making AI accessible for developers.
CachingDartFirebaseGeminiGenerative AIGoogle CloudJAXKerasKotlinOllamaPostgreSQLPyTorchTensorFlowWebAssembly
Jeanine Banks
8 min read
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