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GPU

  • AI Tools

    Andrzej Karpathy Open-sources ‘AutoSearch’: A 630-line Python tool that lets AI agents run autonomous ML experiments on a single GPU

    by March 9, 2026
    March 9, 2026

    Andrzej Karpathy was released self researchA minimal Python tool designed to enable AI agents to conduct machine learning experiments autonomously. This is a different version of the project nanochat LLM …

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  • Generative AI

    Google launches TensorFlow 2.21 and LiteRT: faster GPU performance, new NPU acceleration, and seamless PyTorch Edge deployment upgrades

    by March 7, 2026
    March 7, 2026

    Google has officially released TensorFlow 2.21. The most significant update in this release is the graduation of LightRT from its preview phase to a fully production-ready stack. Moving forward, LiteRT …

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  • AI Tools

    Telescale and LM Studio have introduced ‘LM Link’ to provide encrypted point-to-point access to your private GPU hardware assets.

    by February 26, 2026
    February 26, 2026

    Productivity for the modern AI developer is often tied to physical space. You likely have a ‘big rig’ at home or in the office – a workstation working with an …

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  • AI Tools

    Meta AI open source GCM for high performance AI training and better GPU cluster monitoring to ensure hardware reliability

    by February 25, 2026
    February 25, 2026

    While tech guys obsess over the latest Llama checkpoints, a very serious battle is being fought in the basements of data centers. As AI models reach trillions of parameters, the …

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  • Generative AI

    Inside the forward pass: GPU economics of pre-fill, decode, and serve large language models.

    by February 17, 2026
    February 17, 2026

    Last updated on February 17, 2026 by Editorial Team Author(s): Utkarsh Mittal Originally published on Towards AI. Why is guessing the last game? Pre-training a marginally large language model typically …

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  • AI Tools

    GPU and CPU usage when running open-source LLM locally using Olama

    by February 17, 2026
    February 17, 2026

    Author(s): compensation Originally published on Towards AI. Large language models (LLMs) are powerful, but they require significant hardware resources to run locally. Many users rely on open-source models because of …

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  • Generative AI

    An In-depth Study of Coding in Distinct Computer Vision with Cornea Using Geometry Optimization, LOFTR Matching, and GPU Augmentation

    by January 30, 2026
    January 30, 2026

    We provide an advanced, end-to-end implementation cornea Tutorial and demonstrate how modern, disparate computer vision can be built entirely in PyTorch. We start by building GPU-accelerated, synchronized enhancement pipelines for …

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  • Machine Learning

    Installing TensorFlow with GPU (CUDA): A Step-by-Step Installation Guide

    by January 5, 2026
    January 5, 2026

    Author(s): compensation Originally published on Towards AI. If you’re writing deep learning code on a machine with a GPU, TensorFlow will default to running on the CPU. This happens because …

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  • AI Tools

    NVIDIA and Mistral AI bring 10x faster inference to Mistral 3 family on GB200 NVL72 GPU systems

    by December 3, 2025
    December 3, 2025

    NVIDIA today announced an important expansion of its strategic cooperation With Mistral AI. This partnership coincides with the release of the new Mistral 3 Frontier Open model family, a significant …

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  • Defense official says Pentagon plans to train AI companies on classified data

    March 18, 2026
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    March 18, 2026
  • What’s new in Azure Databricks at FabCon 2026: Lakebase, Lakeflow, and Genie

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