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Tag: model deployment

  • Cloud Blog: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/compute/ai-inference-recipe-using-nvidia-dynamo-with-ai-hypercomputer/ Source: Cloud Blog Title: Fast and efficient AI inference with new NVIDIA Dynamo recipe on AI Hypercomputer Feedly Summary: As generative AI becomes more widespread, it’s important for developers and ML engineers to be able to easily configure infrastructure that supports efficient AI inference, i.e., using a trained AI model to make…

  • Cloud Blog: How Baseten achieves 225% better cost-performance for AI inference (and you can too)

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/how-baseten-achieves-better-cost-performance-for-ai-inference/ Source: Cloud Blog Title: How Baseten achieves 225% better cost-performance for AI inference (and you can too) Feedly Summary: Baseten is one of a growing number of AI infrastructure providers, helping other startups run their models and experiments at speed and scale. Given the importance of those two factors to its customers,…

  • Cisco Security Blog: Detecting Exposed LLM Servers: A Shodan Case Study on Ollama

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    Kurt Seifried
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    Source URL: https://feedpress.me/link/23535/17131153/detecting-exposed-llm-servers-shodan-case-study-on-ollama Source: Cisco Security Blog Title: Detecting Exposed LLM Servers: A Shodan Case Study on Ollama Feedly Summary: We uncovered 1,100+ exposed Ollama LLM servers—20% with open models—revealing critical security gaps and the need for better LLM threat monitoring. AI Summary and Description: Yes Summary: The text highlights the discovery of over 1,100…

  • The Register: Tinker with LLMs in the privacy of your own home using Llama.cpp

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/24/llama_cpp_hands_on/ Source: The Register Title: Tinker with LLMs in the privacy of your own home using Llama.cpp Feedly Summary: Everything you need to know to build, run, serve, optimize and quantize models on your PC Hands on Training large language models (LLMs) may require millions or even billion of dollars of infrastructure, but…

  • Slashdot: Mark Zuckerberg Plans To Shake Up Meta’s AI Efforts, Again

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    Kurt Seifried
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    Source URL: https://tech.slashdot.org/story/25/08/19/1748256/mark-zuckerberg-plans-to-shake-up-metas-ai-efforts-again?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Mark Zuckerberg Plans To Shake Up Meta’s AI Efforts, Again Feedly Summary: AI Summary and Description: Yes Summary: Meta’s reorganization of its AI division into four specialized areas highlights a significant shift in its approach to AI development, indicating a move towards collaboration with third-party AI models. This shift…

  • Enterprise AI Trends: GPT-5: Strategic Implications

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    Kurt Seifried
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    Source URL: https://nextword.substack.com/p/gpt-5-strategic-implications Source: Enterprise AI Trends Title: GPT-5: Strategic Implications Feedly Summary: Not feeling the AGI? That’s not the point. AI Summary and Description: Yes **Summary:** The text discusses the significant implications of OpenAI’s recent transition to GPT-5, including the retirement of previous models and the introduction of a model router, which will streamline…

  • Simon Willison’s Weblog: Open weight LLMs exhibit inconsistent performance across providers

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/15/inconsistent-performance/ Source: Simon Willison’s Weblog Title: Open weight LLMs exhibit inconsistent performance across providers Feedly Summary: Artificial Analysis published a new benchmark the other day, this time focusing on how an individual model – OpenAI’s gpt-oss-120b – performs across different hosted providers. The results showed some surprising differences. Here’s the one with the…

  • The Register: Dodgy Huawei chips nearly sunk DeepSeek’s next-gen R2 model

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/14/dodgy_huawei_deepseek/ Source: The Register Title: Dodgy Huawei chips nearly sunk DeepSeek’s next-gen R2 model Feedly Summary: Chinese AI model dev still plans to use homegrown silicon for inferencing Unhelpful Huawei AI chips are reportedly why Chinese model dev DeepSeek’s next-gen LLMs are taking so long.… AI Summary and Description: Yes Summary: The text…