Experimental News Clipping Site

Tag: inference speed

  • The Register: DeepSeek’s new V3.1 release points to potent new Chinese chips coming soon

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/08/22/deepseek_v31_chinese_chip_hints/ Source: The Register Title: DeepSeek’s new V3.1 release points to potent new Chinese chips coming soon Feedly Summary: Point release retuned with new FP8 datatype for better compatibility with homegrown silicon Chinese AI darling DeepSeek unveiled an update to its flagship large language model that the company claims is already optimized for…

  • Simon Willison’s Weblog: Faster inference

    —

    by

    Kurt Seifried
    in

    Source URL: https://simonwillison.net/2025/Aug/1/faster-inference/ Source: Simon Willison’s Weblog Title: Faster inference Feedly Summary: Two interesting examples of inference speed as a flagship feature of LLM services today. First, Cerebras announced two new monthly plans for their extremely high speed hosted model service: Cerebras Code Pro ($50/month, 1,000 messages a day) and Cerebras Code Max ($200/month, 5,000/day).…

  • The Register: Nvidia won the AI training race, but inference is still anyone’s game

    —

    by

    Kurt Seifried
    in

    Source URL: https://www.theregister.com/2025/03/12/training_inference_shift/ Source: The Register Title: Nvidia won the AI training race, but inference is still anyone’s game Feedly Summary: When it’s all abstracted by an API endpoint, do you even care what’s behind the curtain? Comment With the exception of custom cloud silicon, like Google’s TPUs or Amazon’s Trainium ASICs, the vast majority…

  • Hacker News: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator

    —

    by

    Kurt Seifried
    in

    Source URL: https://sepllm.github.io/ Source: Hacker News Title: SepLLM: Accelerate LLMs by Compressing One Segment into One Separator Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel framework called SepLLM designed to enhance the performance of Large Language Models (LLMs) by improving inference speed and computational efficiency. It identifies an innovative…

  • Hacker News: Looking Back at Speculative Decoding

    —

    by

    Kurt Seifried
    in

    Source URL: https://research.google/blog/looking-back-at-speculative-decoding/ Source: Hacker News Title: Looking Back at Speculative Decoding Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the advancements in large language models (LLMs) centered around a technique called speculative decoding, which significantly improves inference times without compromising output quality. This development is particularly relevant for professionals in…

  • Hacker News: Building a personal, private AI computer on a budget

    —

    by

    Kurt Seifried
    in

    Source URL: https://ewintr.nl/posts/2025/building-a-personal-private-ai-computer-on-a-budget/ Source: Hacker News Title: Building a personal, private AI computer on a budget Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text details the author’s experience in building a personal, budget-friendly AI computer capable of running large language models (LLMs) locally. It highlights the financial and technical challenges encountered during…

  • Hacker News: Running DeepSeek R1 Models Locally on NPU

    —

    by

    Kurt Seifried
    in

    Source URL: https://blogs.windows.com/windowsdeveloper/2025/01/29/running-distilled-deepseek-r1-models-locally-on-copilot-pcs-powered-by-windows-copilot-runtime/ Source: Hacker News Title: Running DeepSeek R1 Models Locally on NPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in AI deployment on Copilot+ PCs, focusing on the release of NPU-optimized DeepSeek models for local AI application development. It highlights how these innovations, particularly through the use…

  • Hacker News: Has DeepSeek improved the Transformer architecture

    —

    by

    Kurt Seifried
    in

    Source URL: https://epoch.ai/gradient-updates/how-has-deepseek-improved-the-transformer-architecture Source: Hacker News Title: Has DeepSeek improved the Transformer architecture Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the innovative architectural advancements in DeepSeek v3, a new AI model that boasts state-of-the-art performance with significantly reduced training times and computational demands compared to its predecessor, Llama 3. Key…