Designing sustainable AI: A deep dive into TPU efficiency and lifecycle emissions

As AI continues to unlock new opportunities for business growth and societal benefits, we’re working to reduce the carbon intensity of AI systems — including by optimizing software, improving hardware efficiency, and powering AI models with carbon-free energy. Today we’re releasing a first-of-its-kind study1 on the lifetime emissions of our Tensor Processing Unit (TPU) hardware. …

Adaptive Training Distributions with Scalable Online Bilevel Optimization

Large neural networks pretrained on web-scale corpora are central to modern machine learning. In this paradigm, the distribution of the large, heterogeneous pretraining data rarely matches that of the application domain. This work considers modifying the pretraining distribution in the case where one has a small sample of data reflecting the targeted test conditions. We …

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Orchestrate seamless business systems integrations using Amazon Bedrock Agents

Generative AI has revolutionized technology through generating content and solving complex problems. To fully take advantage of this potential, seamless integration with existing business systems and efficient access to data are crucial. Amazon Bedrock Agents provides the integration capabilities to connect generative AI models with the wealth of information and workflows already in place within …

Helping our partners co-market faster with AI

At Google Cloud, we’re deeply invested in making AI helpful to organizations everywhere — not just for our valued customers, but for our equally important partners.  Today, we’re thrilled to introduce a significant leap forward in how we enable our partners to co-market with us: Gemini-powered content creation within Partner Marketing Studio. These AI features …