Tag: capacity
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Tomasz Tunguz: Small Action Models Are the Future of AI Agents
Source URL: https://www.tomtunguz.com/ai-skills-inversion/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, and the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…
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Tomasz Tunguz: Small Action Models Are the Future of AI Agents
Source URL: https://www.tomtunguz.com/local-instructions/ Source: Tomasz Tunguz Title: Small Action Models Are the Future of AI Agents Feedly Summary: 2025 is the year of agents, & the key capability of agents is calling tools. When using Claude Code, I can tell the AI to sift through a newsletter, find all the links to startups, verify they…
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Cloud Blog: Google Cloud’s commitment to EU AI Act support
Source URL: https://cloud.google.com/blog/products/identity-security/google-clouds-commitment-to-eu-ai-act-support/ Source: Cloud Blog Title: Google Cloud’s commitment to EU AI Act support Feedly Summary: Google Cloud is committed to being a trusted partner for customers who are navigating AI regulations in Europe. We have long understood that this requires a proactive and collaborative approach in order to ensure Europeans can access secure,…
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AWS News Blog: Amazon DocumentDB Serverless is now available
Source URL: https://aws.amazon.com/blogs/aws/amazon-documentdb-serverless-is-now-available/ Source: AWS News Blog Title: Amazon DocumentDB Serverless is now available Feedly Summary: Amazon DocumentDB Serverless automatically scales capacity up or down in fine-grained increments based on your application’s demand, offering up to 90% cost savings compared to provisioning for peak capacity. AI Summary and Description: Yes Summary: The text introduces Amazon…
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Cloud Blog: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs
Source URL: https://cloud.google.com/blog/products/compute/dynamic-workload-scheduler-calendar-mode-reserves-gpus-and-tpus/ Source: Cloud Blog Title: Understanding Calendar mode for Dynamic Workload Scheduler: Reserve ML GPUs and TPUs Feedly Summary: Organizations need ML compute resources that can accommodate bursty peaks and periodic troughs. That means the consumption models for AI infrastructure need to evolve to be more cost-efficient, provide term flexibility, and support rapid…