Experimental News Clipping Site

Tag: hardware acceleration

  • Hacker News: Nvidia GPU on bare metal NixOS Kubernetes cluster explained

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    Kurt Seifried
    in

    Source URL: https://fangpenlin.com/posts/2025/03/01/nvidia-gpu-on-bare-metal-nixos-k8s-explained/ Source: Hacker News Title: Nvidia GPU on bare metal NixOS Kubernetes cluster explained Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text presents an in-depth personal narrative of setting up a bare-metal Kubernetes cluster that integrates Nvidia GPUs for machine learning tasks. The author details the challenges and solutions encountered…

  • Cloud Blog: Dynamic 5G services, made possible by AI and intent-based automation

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/topics/telecommunications/how-dynamic-5g-services-are-possible-with-ai/ Source: Cloud Blog Title: Dynamic 5G services, made possible by AI and intent-based automation Feedly Summary: The emergence of 5G networks opens a new frontier for connectivity, enabling advanced use cases that require ultra-low-latency, enhanced mobile broadband, and the Internet of Things (IoT) at scale. However, behind the promise of this hyper-connected…

  • Hacker News: OpenArc – Lightweight Inference Server for OpenVINO

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    Kurt Seifried
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    Source URL: https://github.com/SearchSavior/OpenArc Source: Hacker News Title: OpenArc – Lightweight Inference Server for OpenVINO Feedly Summary: Comments AI Summary and Description: Yes **Summary:** OpenArc is a lightweight inference API backend optimized for leveraging hardware acceleration with Intel devices, designed for agentic use cases and capable of serving large language models (LLMs) efficiently. It offers a…

  • Hacker News: Rust: Doubling Throughput with Continuous Profiling and Optimization

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    Kurt Seifried
    in

    Source URL: https://www.polarsignals.com/blog/posts/2025/02/11/doubling-throughput-with-continuous-profiling-and-optimization Source: Hacker News Title: Rust: Doubling Throughput with Continuous Profiling and Optimization Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses how S2, a serverless API for streaming data, optimized its cloud infrastructure performance and reduced operational costs through the implementation of continuous profiling with Polar Signals Cloud. This…

  • Simon Willison’s Weblog: mistral.rs

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    system automation
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    Source URL: https://simonwillison.net/2024/Oct/19/mistralrs/#atom-everything Source: Simon Willison’s Weblog Title: mistral.rs Feedly Summary: mistral.rs Here’s an LLM inference library written in Rust. It’s not just for that one family of models – like how llama.cpp has grown beyond Llama, mistral.rs has grown beyond Mistral. This is the first time I’ve been able to run the Llama 3.2…

  • The Register: MediaTek enters the 4th Dimensity with 3nm octa-core 9400 smartphone brains

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    system automation
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    Source URL: https://www.theregister.com/2024/10/09/mediatek_dimensity_9400/ Source: The Register Title: MediaTek enters the 4th Dimensity with 3nm octa-core 9400 smartphone brains Feedly Summary: Still sticking with Arm and not taking RISC-Vs Fabless Taiwanese chip biz MediaTek has unveiled the fourth flagship entry in its Dimensity family of system-on-chips for smartphones and other mobile devices. It’s sticking with close…

  • Hacker News: LlamaF: An Efficient Llama2 Architecture Accelerator on Embedded FPGAs

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    system automation
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    Source URL: https://arxiv.org/abs/2409.11424 Source: Hacker News Title: LlamaF: An Efficient Llama2 Architecture Accelerator on Embedded FPGAs Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a novel approach to enhancing the inference performance of large language models (LLMs) on embedded FPGA devices. It provides insights into leveraging FPGA technology for efficient resource…

  • Hacker News: Hardware Acceleration of LLMs: A comprehensive survey and comparison

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    system automation
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    Source URL: https://arxiv.org/abs/2409.03384 Source: Hacker News Title: Hardware Acceleration of LLMs: A comprehensive survey and comparison Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a comprehensive survey that addresses the hardware acceleration of Large Language Models (LLMs). This research highlights advancements in various processing platforms and the metrics for performance evaluation,…