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Tag: inference efficiency

  • Simon Willison’s Weblog: Two more Chinese pelicans

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    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Oct/1/two-pelicans/#atom-everything Source: Simon Willison’s Weblog Title: Two more Chinese pelicans Feedly Summary: Two new models from Chinese AI labs in the past few days. I tried them both out using llm-openrouter: DeepSeek-V3.2-Exp from DeepSeek. Announcement, Tech Report, Hugging Face (690GB, MIT license). As an intermediate step toward our next-generation architecture, V3.2-Exp builds upon…

  • 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: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/infrastructure-modernization/kakaos-journey-with-jax-and-cloud-tpus/ Source: Cloud Blog Title: An efficient path to production AI: Kakao’s journey with JAX and Cloud TPUs Feedly Summary: When your messaging platform serves 49 million people – 93% of South Korea’s population – every technical decision carries enormous weight. The engineering team at Kakao faced exactly this challenge when their existing…

  • The Register: How to run OpenAI’s new gpt-oss-20b LLM on your computer

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/08/07/run_openai_gpt_oss_locally/ Source: The Register Title: How to run OpenAI’s new gpt-oss-20b LLM on your computer Feedly Summary: All you need is 24GB of RAM, and unless you have a GPU with its own VRAM quite a lot of patience Hands On Earlier this week, OpenAI released two popular open-weight models, both named gpt-oss.…

  • Hacker News: DeepSearcher: A Local open-source Deep Research

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    Kurt Seifried
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    Source URL: https://milvus.io/blog/introduce-deepsearcher-a-local-open-source-deep-research.md Source: Hacker News Title: DeepSearcher: A Local open-source Deep Research Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text outlines the development and functionality of DeepSearcher, an open-source research agent that automates query decomposition, data retrieval, and synthesis of information into detailed reports. It showcases innovations in AI-driven research…

  • The Register: Cloudflare hopes to rebuild the Web for the AI age – with itself in the middle

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/02/10/cloudflare_q4_2024_ai_web/ Source: The Register Title: Cloudflare hopes to rebuild the Web for the AI age – with itself in the middle Feedly Summary: Also claims it’s found DeepSeek-eque optimizations that reduce AI infrastructure requirements Cloudflare has declared it’s found optimizations that reduce the amount of hardware needed for inferencing workloads, and is in…

  • OpenAI : Trading inference-time compute for adversarial robustness

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    Kurt Seifried
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    Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…

  • Hacker News: Apple collaborates with Nvidia to research faster LLM performance

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    system automation
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    Source URL: https://9to5mac.com/2024/12/18/apple-collaborates-with-nvidia-to-research-faster-llm-performance/ Source: Hacker News Title: Apple collaborates with Nvidia to research faster LLM performance Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has announced a collaboration with NVIDIA to enhance the performance of large language models (LLMs) through a new technique called Recurrent Drafter (ReDrafter). This approach significantly accelerates text generation,…

  • Hacker News: Accelerated AI Inference via Dynamic Execution Methods

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    system automation
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    Source URL: https://arxiv.org/abs/2411.00853 Source: Hacker News Title: Accelerated AI Inference via Dynamic Execution Methods Feedly Summary: Comments AI Summary and Description: Yes Summary: This paper discusses innovative Dynamic Execution methods that optimize AI inference by improving computational efficiency and reducing resource demands. These methods can enhance performance in generative AI applications like large language models…