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PyTorch

188 stories

Stories

  • Deep Learning Syllabus 2026: Subjects, Topics & Learning Roadmap

    Deep learning is not a single library command that turns data into intelligence. A useful model depends on the problem definition, data quality, mathematical assumptions, architecture, training loop, evaluation, deployment and monitoring.

    AI and Machine Learning Roadmaps Blog15 min read
  • RoCE vs InfiniBand for Multi-Node GPU Training

    Optimize multi-node GPU cluster performance and cost-efficiency by aligning parallelism strategies, network fabric selection, and performance benchmarking.

    RunPod12 min read
  • Extending Inductor for the IBM Spyre Accelerator

    TL;DR The PyTorch-based software stack for IBM’s Spyre accelerator recently moved its torch.compile backend from sendnn, a separate compilation stack built entirely from scratch, to backend=inductor, an open-source backend built...

    PyTorch Blog16 min read
  • Python vs Go: A Practical Comparison for Developers

    Two things are true about Python: It’s the most popular programming language in the world, and it’s the most common companion language for Go developers. How do we know that? From the Developer Ecosystem 2026 survey by JetBrains.

    JetBrains AI Blog31 min read
  • Intel D270 GPU AI Accelerator–Up to 480 GB LPDDR5X

    Article URL: https://www.intel.com/content/www/us/en/products/details/discrete-gpus/data-center-gpu/d-series.html Comments URL: https://news.ycombinator.com/item?id=50063365 Points: 48 # Comments: 17

    Hacker News4 min read
  • What hackers built on Runpod at TreeHacks 2026

    We sponsored TreeHacks 2026 at Stanford, where teams built on Runpod across 36 hours, shipping projects ranging from GPU-accelerated cancer drug discovery.

    RunPod5 min read
  • Making np.searchsorted up to 25× Faster in NumPy 2.5

    We explore how to speed up binary search by batching independent searches with NumPy's vectorized operations. We then reformulate the algorithm so all searches progress together with only $O(1)$ additional memory, port it to C++, and achieve up to a 25× speedup over NumPy 2.4's implementation.

    Lobsters13 min read
  • Build your own decision model

    Article URL: https://nishtahir.com/build-your-own-decision-model/ Comments URL: https://news.ycombinator.com/item?id=50037949 Points: 266 # Comments: 61

    Hacker News6 min read
  • Industrial torch fuels faster development of materials for extreme environments

    New work from engineers at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, shows a technology normally used to spray protective coatings onto industrial parts could help address a costly problem in hypersonics: deciding which materials deserve time in the nation's scarce…

    TechXplore AI4 min read
  • EmbeddingGemma 2: Text, Code, Images, Video and Audio in One Vector Space

    EmbeddingGemma 2 launched on October 6, 2026 under Apache 2.0. It is a sub-1B model built on Gemma 4 that maps text, code, images, video and audio into one 768-dimensional space. This article covers the architecture, the benchmarks, and runnable scripts to provide measured results.

    Analytics Vidhya15 min read

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