Dice.camp

Anita Graser 🇪🇺🇺🇦🇬🇪<a href="https://fosstodon.org/tags/torchGeo" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#torchGeo</a> Release v0.7.0<a href="https://www.osgeo.org/community-news/torchgeo-release-v0-7-0/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.osgeo.org/community-news/torchgeo-release-v0-7-0/</a>torchGeo is a <a href="https://fosstodon.org/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> domain library designed to make it simple for <a href="https://fosstodon.org/tags/machineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machineLearning</a> experts to work with <a href="https://fosstodon.org/tags/EO" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EO</a> data, providing datasets, samplers, transforms, and pre-trained models specific to <a href="https://fosstodon.org/tags/geospatial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#geospatial</a> data. <a href="https://fosstodon.org/tags/GISChat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GISChat</a> <a href="https://fosstodon.org/tags/GeoAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GeoAI</a>

Ryan Daws 🤓Security flaws hit PyTorch Lightning deep learning framework <a href="https://www.developer-tech.com/news/security-flaws-pytorch-lightning-deep-learning-framework/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.developer-tech.com/news/security-flaws-pytorch-lightning-deep-learning-framework/</a> <a href="https://techhub.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a> <a href="https://techhub.social/tags/developers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#developers</a> <a href="https://techhub.social/tags/security" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#security</a> <a href="https://techhub.social/tags/infosec" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#infosec</a> <a href="https://techhub.social/tags/coding" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#coding</a> <a href="https://techhub.social/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#programming</a> <a href="https://techhub.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://techhub.social/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://techhub.social/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://techhub.social/tags/technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#technology</a>

AmartyaMy brain is absolutely fried. Today is the last day of coursework submissions for this semester. What a hectic month. DNN with PyTorch, Brain model parallelisation with MPI, SYCL and OpenMP offloading of percolation models,hand optimizing serial codes for performance. Two submissions due today. Submitted one and finalising my report for the second one. Definitely having a pint after this<a href="https://fosstodon.org/tags/sycl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#sycl</a> <a href="https://fosstodon.org/tags/hpc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hpc</a> <a href="https://fosstodon.org/tags/msc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#msc</a> <a href="https://fosstodon.org/tags/epcc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#epcc</a> <a href="https://fosstodon.org/tags/cuda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#cuda</a> <a href="https://fosstodon.org/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a> <a href="https://fosstodon.org/tags/mpi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mpi</a> <a href="https://fosstodon.org/tags/openmp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#openmp</a> <a href="https://fosstodon.org/tags/hectic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hectic</a> <a href="https://fosstodon.org/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#programming</a> <a href="https://fosstodon.org/tags/parallelprogramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#parallelprogramming</a> <a href="https://fosstodon.org/tags/latex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#latex</a>

LavX NewsUnlocking Deep Learning Performance: Understanding Compute, Memory Bandwidth, and OverheadIn the quest for optimizing deep learning models, developers often resort to trial-and-error methods that can lead to suboptimal performance. This article explores the critical factors affecting deep ...<a href="https://news.lavx.hu/article/unlocking-deep-learning-performance-understanding-compute-memory-bandwidth-and-overhead" rel="nofollow noopener noreferrer" target="_blank">https://news.lavx.hu/article/unlocking-deep-learning-performance-understanding-compute-memory-bandwidth-and-overhead</a><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://mastodon.cloud/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> <a href="https://mastodon.cloud/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> <a href="https://mastodon.cloud/tags/OperatorFusion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OperatorFusion</a>

LavX NewsUnlocking AI's Potential with Scallop: The Neurosymbolic Programming RevolutionScallop, a groundbreaking declarative language, merges symbolic reasoning with AI applications, offering developers a powerful tool to enhance their machine learning models. By integrating seamlessly ...<a href="https://news.lavx.hu/article/unlocking-ai-s-potential-with-scallop-the-neurosymbolic-programming-revolution" rel="nofollow noopener noreferrer" target="_blank">https://news.lavx.hu/article/unlocking-ai-s-potential-with-scallop-the-neurosymbolic-programming-revolution</a><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://mastodon.cloud/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> <a href="https://mastodon.cloud/tags/NeurosymbolicAI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeurosymbolicAI</a> <a href="https://mastodon.cloud/tags/Scallop" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Scallop</a>

Titus von der Malsburg 📖👀💭I'd like to buy <a href="https://scholar.social/tags/GPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GPU</a> cloud compute, with SSH access for <a href="https://scholar.social/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> inference (<a href="https://scholar.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a>). 32GB GPU memory is enough because I'm working with smaller models. Any recommendations?

LavX NewsTorchServe: The Future of PyTorch Model Deployment Faces Limited MaintenanceTorchServe, a pivotal tool for serving PyTorch models in production, has announced that it is no longer actively maintained. This development raises concerns about the future of model serving in AI ap...<a href="https://news.lavx.hu/article/torchserve-the-future-of-pytorch-model-deployment-faces-limited-maintenance" rel="nofollow noopener noreferrer" target="_blank">https://news.lavx.hu/article/torchserve-the-future-of-pytorch-model-deployment-faces-limited-maintenance</a><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://mastodon.cloud/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> <a href="https://mastodon.cloud/tags/TorchServe" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TorchServe</a> <a href="https://mastodon.cloud/tags/ModelServing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ModelServing</a>

Pyrzout :vm:Import GPU: Python Programming with CUDA <a href="https://hackaday.com/2025/02/25/import-gpu-python-programming-with-cuda/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://hackaday.com/2025/02/25/import-gpu-python-programming-with-cuda/</a> <a href="https://social.skynetcloud.site/tags/graphicsprocessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#graphicsprocessing</a> <a href="https://social.skynetcloud.site/tags/parallelprocessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#parallelprocessing</a> <a href="https://social.skynetcloud.site/tags/developer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#developer</a> <a href="https://social.skynetcloud.site/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a> <a href="https://social.skynetcloud.site/tags/NVIDIA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NVIDIA</a> <a href="https://social.skynetcloud.site/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://social.skynetcloud.site/tags/torch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#torch</a> <a href="https://social.skynetcloud.site/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#News</a> <a href="https://social.skynetcloud.site/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CUDA</a> <a href="https://social.skynetcloud.site/tags/gpu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gpu</a>

LavX NewsRevolutionizing AI Performance: The Launch of AI CUDA Engineer for Optimizing Large Language ModelsThe AI CUDA Engineer is set to transform how developers optimize large language models by automating CUDA kernel discovery and optimization. With impressive speedups and a robust dataset, this tool pr...<a href="https://news.lavx.hu/article/revolutionizing-ai-performance-the-launch-of-ai-cuda-engineer-for-optimizing-large-language-models" rel="nofollow noopener noreferrer" target="_blank">https://news.lavx.hu/article/revolutionizing-ai-performance-the-launch-of-ai-cuda-engineer-for-optimizing-large-language-models</a><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://mastodon.cloud/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> <a href="https://mastodon.cloud/tags/CUDAOptimization" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CUDAOptimization</a> <a href="https://mastodon.cloud/tags/AICUDAEngineer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AICUDAEngineer</a>

Steve Leach<a href="https://mastodon.social/@rotopenguin" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@rotopenguin</a> Could be that??? dunno... some instructions I copied and pasted with no luck nor understanding were to do with secure boot and adding something called kam or pam or something... it didn't work of course. And of course I "need" <a href="https://sigmoid.social/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a>+cuda, and don't "need" an external display.... which means I just wind up not using the machine at all. It has 8GB GPU+64GB ram... I use an older system with 4GB gpu+16G ram instead. And for the most part my "good" machine just sits unused.

Steve LeachWell Damn. So my <a href="https://sigmoid.social/tags/Alienware" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Alienware</a> m15 R5 *seemed* to finally have a working HDMI port after a fresh install of <a href="https://sigmoid.social/tags/Debian" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Debian</a> stable. Then I installed the <a href="https://sigmoid.social/tags/Nvidia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Nvidia</a> drivers and... poof... no more external display. So I still have a two year old laptop with a great GPU, tons of ram that can't be used with a monitor.And my main workhorse, an <a href="https://sigmoid.social/tags/Asus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Asus</a> from 2019 that works just fine. Sometimes I literally just SSH into the "good machine" to put it to work with <a href="https://sigmoid.social/tags/Pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Pytorch</a>.

Custard! 🍮:fedora:Pues <a href="https://bonito.cafe/tags/Fedora" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Fedora</a> sí está bien chido para todo, y es estable, pero <a href="https://bonito.cafe/tags/AMD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AMD</a> decidió que enfocarse en el <a href="https://bonito.cafe/tags/OpenComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenComputing</a> en <a href="https://bonito.cafe/tags/Linux" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Linux</a>, sólo para <a href="https://bonito.cafe/tags/RHEL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RHEL</a> y <a href="https://bonito.cafe/tags/Ubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Ubuntu</a> era buena ideaPues babay por el momento, tendré que instalar <a href="https://bonito.cafe/tags/Kubuntu" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Kubuntu</a> para seguir chambeando con <a href="https://bonito.cafe/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> y <a href="https://bonito.cafe/tags/Pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Pytorch</a> 🤷‍♂️

:rss: Qiita - 人気の記事ローカルで動くGPUを利用した簡易的な画像生成Webアプリを作ってみた <a href="https://qiita.com/kaz_prg/items/f2d1039a4f07462e512d?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://qiita.com/kaz_prg/items/f2d1039a4f07462e512d?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items</a><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#qiita</a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://rss-mstdn.studiofreesia.com/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CUDA</a> <a href="https://rss-mstdn.studiofreesia.com/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> <a href="https://rss-mstdn.studiofreesia.com/tags/huggingface" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#huggingface</a> <a href="https://rss-mstdn.studiofreesia.com/tags/StableDiffusion" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#StableDiffusion</a>

richHomebrew BLIP captioning going well...😅 <a href="https://mastodon.gamedev.place/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://mastodon.gamedev.place/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a>

aoIt finally happed :blobcatfrowningbig: My harddwive is bogged down by all the <a class="hashtag" href="https://yusaao.com/tag/python" rel="nofollow noopener noreferrer" target="_blank">#python</a> installs *Curse you <a class="hashtag" href="https://yusaao.com/tag/pytorch" rel="nofollow noopener noreferrer" target="_blank">#pytorch</a> * and I need to upgrade my hdd <a href="https://ry3yr.github.io/mypc" rel="nofollow noopener noreferrer" target="_blank">https://ry3yr.github.io/mypc</a> to a 1 tb model <a href="https://www.compare.de/datacontent.php?EAN=7636490060670" rel="nofollow noopener noreferrer" target="_blank">https://www.compare.de/datacontent.php?EAN=7636490060670</a> Sigh Why does python require so much space :Wah:

:rss: Qiita - 人気の記事Pythonの非同期処理: これだけは知っておきたい！ <a href="https://qiita.com/Leapcell/items/d379cdb66c7cd3828b66?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://qiita.com/Leapcell/items/d379cdb66c7cd3828b66?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items</a><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#qiita</a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://rss-mstdn.studiofreesia.com/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> <a href="https://rss-mstdn.studiofreesia.com/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> <a href="https://rss-mstdn.studiofreesia.com/tags/LLM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a>

LavX NewsUnlocking JAX: A PyTorch User's Guide to High-Performance Machine LearningTransitioning from PyTorch to JAX can be daunting, but a new tutorial bridges the gap, showcasing how to leverage JAX's powerful features while drawing parallels to familiar PyTorch constructs. Dive i...<a href="https://news.lavx.hu/article/unlocking-jax-a-pytorch-user-s-guide-to-high-performance-machine-learning" rel="nofollow noopener noreferrer" target="_blank">https://news.lavx.hu/article/unlocking-jax-a-pytorch-user-s-guide-to-high-performance-machine-learning</a><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://mastodon.cloud/tags/JAX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#JAX</a> <a href="https://mastodon.cloud/tags/Flax" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Flax</a> <a href="https://mastodon.cloud/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a>

:rss: Qiita - 人気の記事VRAMが足りないならPytorchのメモリ割り当て方式そのものを変えちゃえばいいじゃない <a href="https://qiita.com/SuperHotDogCat/items/d4637dde013dd609b8f9?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://qiita.com/SuperHotDogCat/items/d4637dde013dd609b8f9?utm_campaign=popular_items&utm_medium=feed&utm_source=popular_items</a><a href="https://rss-mstdn.studiofreesia.com/tags/qiita" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#qiita</a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://rss-mstdn.studiofreesia.com/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CUDA</a> <a href="https://rss-mstdn.studiofreesia.com/tags/%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#機械学習</a> <a href="https://rss-mstdn.studiofreesia.com/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://rss-mstdn.studiofreesia.com/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a>

:rss: 窓の杜機械学習ライブラリ「PyTorch」、公式の「Anaconda」チャンネルを廃止へ／使われていないのに労力がかかりすぎる <a href="https://forest.watch.impress.co.jp/docs/news/1640199.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://forest.watch.impress.co.jp/docs/news/1640199.html</a><a href="https://rss-mstdn.studiofreesia.com/tags/forest_watch_impress" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#forest_watch_impress</a> <a href="https://rss-mstdn.studiofreesia.com/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Python</a> <a href="https://rss-mstdn.studiofreesia.com/tags/Anaconda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Anaconda</a> <a href="https://rss-mstdn.studiofreesia.com/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a>

InfoQ<a href="https://techhub.social/tags/PyTorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PyTorch</a> 2.5 is here!Highlights include Intel GPU support, the new FlexAttention API, TorchInductor CPU backend optimizations, and a regional compilation feature that reduces compilation time.Check it out: <a href="https://bit.ly/3AiO7Ax" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://bit.ly/3AiO7Ax</a> <a href="https://techhub.social/tags/InfoQ" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InfoQ</a>

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