Tag: operational efficiencies
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Cloud Blog: Scaling high-performance inference cost-effectively
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gke-inference-gateway-and-quickstart-are-ga/ Source: Cloud Blog Title: Scaling high-performance inference cost-effectively Feedly Summary: At Google Cloud Next 2025, we announced new inference capabilities with GKE Inference Gateway, including support for vLLM on TPUs, Ironwood TPUs, and Anywhere Cache. Our inference solution is based on AI Hypercomputer, a system built on our experience running models like…
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Tomasz Tunguz: 10 Months into AI Agents : Which Are Used Most?
Source URL: https://www.tomtunguz.com/mcp-server-activity/ Source: Tomasz Tunguz Title: 10 Months into AI Agents : Which Are Used Most? Feedly Summary: When Anthropic introduced the Model Context Protocol, they promised to simplify using agents. MCP enables an AI to understand which tools rest at its disposal : web search, file editing, & email drafting for example. Ten…
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Enterprise AI Trends: Is Legacy Codebase Your Job Security?
Source URL: https://nextword.substack.com/p/is-legacy-codebase-your-job-security Source: Enterprise AI Trends Title: Is Legacy Codebase Your Job Security? Feedly Summary: Funny how LLMs haven’t replaced coders yet AI Summary and Description: Yes **Summary:** The text discusses the implications of AI, particularly LLMs, on developer job security, emphasizing the challenges and trends related to legacy codebases and the integration of…
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Cloud Blog: Google is a Leader and positioned furthest in vision in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms
Source URL: https://cloud.google.com/blog/products/ai-machine-learning/gartner-magic-quadrant-for-conversational-ai-platforms/ Source: Cloud Blog Title: Google is a Leader and positioned furthest in vision in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms Feedly Summary: Google has been named a Leader in the 2025 Gartner® Magic Quadrant™ for Conversational AI Platforms (CAIP) report, and positioned furthest in vision among all vendors evaluated.…
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Tomasz Tunguz: Explore vs. Exploit in Agentic Coding
Source URL: https://www.tomtunguz.com/explore-vs-exploit-in-agentic-coding/ Source: Tomasz Tunguz Title: Explore vs. Exploit in Agentic Coding Feedly Summary: AI coding assistants like Cursor and Replit have rewritten the rules of software distribution almost overnight. But how do companies like these manage margins? Power users looking to manage as many agents as possible may find themselves at odds with…
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The Register: Box’s AI agents set to help US government agencies
Source URL: https://www.theregister.com/2025/08/13/boxs_ai_agent_us_gov/ Source: The Register Title: Box’s AI agents set to help US government agencies Feedly Summary: The vendor hops aboard GSA’s OneGov train, offering models from OpenAI, Google, Anthropic, and more Not to be left behind in the flurry of government-wide AI purchasing deals, Box has signed a deal with the feds that’ll…
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Cloud Blog: Forrester study: Customers cite 240% ROI with Google Security Operations
Source URL: https://cloud.google.com/blog/products/identity-security/forrester-study-customers-cite-240-percent-roi-with-google-security-operations/ Source: Cloud Blog Title: Forrester study: Customers cite 240% ROI with Google Security Operations Feedly Summary: As part of Google Cloud’s fundamental belief that robust security can enable business resilience and innovation, we’re committed to empowering security operations teams with solutions that deliver measurable value and demonstrable return on investment (ROI).That’s why…
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Cloud Blog: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference
Source URL: https://cloud.google.com/blog/topics/developers-practitioners/supercharge-your-ai-gke-inference-reference-architecture-your-blueprint-for-production-ready-inference/ Source: Cloud Blog Title: Supercharge your AI: GKE inference reference architecture, your blueprint for production-ready inference Feedly Summary: The age of AI is here, and organizations everywhere are racing to deploy powerful models to drive innovation, enhance products, and create entirely new user experiences. But moving from a trained model in a…