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#MLops

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goern<p>🏗️ Wusstet ihr, dass eure Software-Architektur aussieht wie euer Organigramm? Conway's Law zeigt: Teams, die nicht miteinander reden, bauen auch keine integrierten Systeme! </p><p>🤯 Besonders spannend bei ML-Pipelines und verteilten Teams - da wird's richtig wild! </p><p>Was sind eure Erfahrungen mit Team-Strukturen und System-Design? 💬</p><p><a href="https://goern.substack.com/p/research-report-architecture-and-people" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">goern.substack.com/p/research-</span><span class="invisible">report-architecture-and-people</span></a></p><p><a href="https://bonn.social/tags/ConwaysLaw" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ConwaysLaw</span></a> <a href="https://bonn.social/tags/SoftwareArchitektur" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareArchitektur</span></a> <a href="https://bonn.social/tags/TeamTopologie" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TeamTopologie</span></a> <a href="https://bonn.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://bonn.social/tags/DistributedTeams" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DistributedTeams</span></a> <a href="https://bonn.social/tags/SocioTechnicalSystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SocioTechnicalSystems</span></a></p>
Rami Krispin :unverified:<p>Getting Started with Docker Model Runner 🚀🚀🚀</p><p>I created a step-by-step guide to getting started with Docker Model Runner (DMR).</p><p>The DMR - a new Docker Desktop 🐳 feature that enables the run of Large Language Models natively with Docker Desktop</p><p>By the end of this tutorial, you will be able to:<br>✅ Enable Docker Model Runner<br>✅ Pull LLMs from Docker Hub<br>✅ Run LLMs locally using both the CLI and Docker Desktop UI</p><p>Tutorial level:&nbsp;Beginner</p><p>🔗: <a href="https://theaiops.substack.com/p/getting-started-with-docker-model" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">theaiops.substack.com/p/gettin</span><span class="invisible">g-started-with-docker-model</span></a></p><p><a href="https://mstdn.social/tags/Docker" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Docker</span></a> <a href="https://mstdn.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mstdn.social/tags/MLOPS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOPS</span></a> <a href="https://mstdn.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a></p>
nutanupare<p>How AI Development Companies Build Smart Systems<br>Discover how top AI firms turn raw data into intelligent solutions — from model design to deployment with MLOps. If you're curious about the tech behind chatbots, fraud detection, or recommendation engines, this is for you!<br>👉 Read more: <a href="https://sdlccorp.com/ai-development-services/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sdlccorp.com/ai-development-se</span><span class="invisible">rvices/</span></a><br><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/Tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tech</span></a></p>
Laura Hargreaves 👩‍💻<p>🐍 New blog post: “Python, AI, and the MLOps Tinkerer's Toolkit”<br>A friendly guide to Python libraries for AI/ML — complete with pip install commands, PyPI links, and use cases from data wrangling to fine-tuning.<br>We love Python 💜<br><a href="https://laurahargreaves.com/python-ai-ml/?utm_source=mastodon&amp;utm_medium=social&amp;utm_campaign=autopost" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">laurahargreaves.com/python-ai-</span><span class="invisible">ml/?utm_source=mastodon&amp;utm_medium=social&amp;utm_campaign=autopost</span></a></p><p><a href="https://mastodon.laurahargreaves.com/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.laurahargreaves.com/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.laurahargreaves.com/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
Rost Glukhov<p>How to use Apache Airflow for MLOPS and ETL - Description, Benefits and Examples:<br><a href="https://www.glukhov.org/post/2025/06/apache-airflow/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">glukhov.org/post/2025/06/apach</span><span class="invisible">e-airflow/</span></a><br><a href="https://techhub.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://techhub.social/tags/coding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>coding</span></a> <a href="https://techhub.social/tags/mlops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mlops</span></a> <a href="https://techhub.social/tags/devops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>devops</span></a> <a href="https://techhub.social/tags/opensource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>opensource</span></a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machinelearning</span></a></p>
Doug Ortiz<p>Is your obsession with ML accuracy killing your budget? 🤔</p><p>The highest-performing model isn't always the "best" one. A slightly less accurate model that's 10x cheaper and faster to run often delivers massively more business value.</p><p>We're trapped chasing a single metric while ignoring the total cost of ownership. It's time to prioritize the cost-performance ratio.</p><p><a href="https://mastodon.social/tags/BeyondAccuracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BeyondAccuracy</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/CostPerformance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CostPerformance</span></a> <a href="https://mastodon.social/tags/ROI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ROI</span></a> <a href="https://mastodon.social/tags/Tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tech</span></a></p><p>Read the full breakdown here: <a href="https://link.illustris.org/bgqFLG" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">link.illustris.org/bgqFLG</span><span class="invisible"></span></a></p>
Judith van Stegeren<p>TIL there's a bash oneliner for grabbing the latest GCP errors and displaying them in your terminal. Superhandy for quickly debugging stuff without clicking around in Google cloud console!</p><p>```bash<br>gcloud logging read "resource.labels.service_name=my_production_service AND severity&gt;=ERROR" --freshness=1d<br>```</p><p><a href="https://fosstodon.org/tags/gcp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gcp</span></a> <a href="https://fosstodon.org/tags/gcloud" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>gcloud</span></a> <a href="https://fosstodon.org/tags/bash" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bash</span></a> <a href="https://fosstodon.org/tags/devops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>devops</span></a> <a href="https://fosstodon.org/tags/mlops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mlops</span></a></p>
TANGO EU<p>💡 Building trustworthy, privacy-aware and energy-efficient AI systems.<br>From Federated Learning to MLOps, from XAI to TornadoVM, WP5 is where innovation meets responsibility.</p><p>👉 Dive into the full interview to explore the tools, lessons, and insights shaping the AI backbone of TANGO:<br>📖 <a href="https://tango-project.eu/articles/tango-wp-leaders-interview-series-wp5-ai-based-framework-green-trustworthy-operations" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tango-project.eu/articles/tang</span><span class="invisible">o-wp-leaders-interview-series-wp5-ai-based-framework-green-trustworthy-operations</span></a></p><p><a href="https://mastodon.social/tags/TANGOproject" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TANGOproject</span></a> <a href="https://mastodon.social/tags/HorizonEU" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HorizonEU</span></a> <a href="https://mastodon.social/tags/GreenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GreenAI</span></a> <a href="https://mastodon.social/tags/FrugalAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FrugalAI</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/FederatedLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FederatedLearning</span></a> <a href="https://mastodon.social/tags/AIethics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIethics</span></a> <a href="https://mastodon.social/tags/SustainableTech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SustainableTech</span></a> <a href="https://mastodon.social/tags/DataSpaces" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataSpaces</span></a></p>
DrBusySloth<p>🚀 Kickoff erfolgreich!<br>MLOX – mein gefördertes Open-Source-Projekt zur Demokratisierung von MLOps – ist offiziell gestartet!</p><p>Dank des <span class="h-card" translate="no"><a href="https://mastodon.social/@PrototypeFund" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>PrototypeFund</span></a></span> arbeite ich die nächsten 6 Monate daran, MLOps-Infrastruktur endlich einfach, transparent und zugänglich zu machen – für Einzelpersonen, kleine Teams und alle, die keine Zeit für YAML-Schlachten haben. 😅</p><p>Updates folgen hier unter 🦥 <span class="h-card" translate="no"><a href="https://mastodon.social/@drbusysloth" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>drbusysloth</span></a></span>.</p><p><a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://mastodon.social/tags/PrototypeFund" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PrototypeFund</span></a> <a href="https://mastodon.social/tags/MLOX" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOX</span></a> <a href="https://mastodon.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://mastodon.social/tags/DevOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DevOps</span></a> <a href="https://mastodon.social/tags/FOSS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FOSS</span></a> <a href="https://mastodon.social/tags/KI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KI</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Startups" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Startups</span></a> <a href="https://mastodon.social/tags/Infrastructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Infrastructure</span></a></p>
Doug Ortiz<p>The rise of low-code MLOps platforms creates a surprising twist: a new skills gap emerges! 🤯 </p><p>Instead of lowering the bar, it's shifting the needed expertise. </p><p>This means DevOps/database skills are suddenly *super* valuable in MLOps. </p><p>What are your thoughts on the future of MLOps talent acquisition?</p><p><a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/LowCode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LowCode</span></a> <a href="https://mastodon.social/tags/SkillsGap" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SkillsGap</span></a> <a href="https://mastodon.social/tags/Themlopsskills" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Themlopsskills</span></a> <a href="https://mastodon.social/tags/AITalent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AITalent</span></a></p>
Judith van Stegeren<p>Datakami has published its first vacancy! 🥳 </p><p>Datakami is hiring ML Engineers near the Netherlands. We're looking for an engineer that understands generative AI with good communication skills, based within 2 hours of Nijmegen, The Netherlands.</p><p><a href="https://datakami.com/careers" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">datakami.com/careers</span><span class="invisible"></span></a></p><p><a href="https://fosstodon.org/tags/ml" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ml</span></a> <a href="https://fosstodon.org/tags/llms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>llms</span></a> <a href="https://fosstodon.org/tags/mlops" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mlops</span></a> <a href="https://fosstodon.org/tags/genai" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>genai</span></a></p>
Dr. Thompson<p>🧠 5,000 AI agent failures.<br>🔁 42% now predicted before they happen.<br>📉 Downtime slashed by 57%.</p><p>Discover how agentic AI systems are evolving to forecast their own breakdowns—before executing a single action. A system-aware cognitive loop could be the future of intelligent decision-making.</p><p>👉 Read Now:<br><a href="https://medium.com/@rogt.x1997/5-000-failures-later-what-we-learned-about-forecasting-ai-agent-crashes-in-real-time-9219a8e60881" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/5-000-f</span><span class="invisible">ailures-later-what-we-learned-about-forecasting-ai-agent-crashes-in-real-time-9219a8e60881</span></a></p><p><a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/AgenticAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AgenticAI</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/PredictiveAnalytics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PredictiveAnalytics</span></a> <a href="https://mastodon.social/tags/FailureForecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FailureForecasting</span></a> <a href="https://mastodon.social/tags/CognitiveSystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>CognitiveSystems</span></a> <a href="https://mastodon.social/tags/AIEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEngineering</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/AIAgents" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIAgents</span></a><br><a href="https://medium.com/@rogt.x1997/5-000-failures-later-what-we-learned-about-forecasting-ai-agent-crashes-in-real-time-9219a8e60881" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/5-000-f</span><span class="invisible">ailures-later-what-we-learned-about-forecasting-ai-agent-crashes-in-real-time-9219a8e60881</span></a></p>
Dr. Thompson<p>🚀 Predict Before You Train!<br>Low-code LLM workflows just got smarter. Discover how forecasting GPU cost, precision, and token throughput can help you build intelligent pipelines from the start. 💻📊<br><a href="https://mastodon.social/tags/LowCode" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LowCode</span></a> <a href="https://mastodon.social/tags/AIArchitecture" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIArchitecture</span></a> <a href="https://mastodon.social/tags/GPUForecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GPUForecasting</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a><br>🔗<br><a href="https://medium.com/@rogt.x1997/architecting-the-future-of-ai-training-forecasting-gpu-decisions-with-predictive-intelligence-a554cf6c9f41" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/archite</span><span class="invisible">cting-the-future-of-ai-training-forecasting-gpu-decisions-with-predictive-intelligence-a554cf6c9f41</span></a></p>
Paul Keen<p>Want to learn TPUs? Check this open-source Python simulator - perfect for getting hands-on with ML hardware! <a href="https://ruby.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://ruby.social/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://ruby.social/tags/OpenSource" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>OpenSource</span></a> <a href="https://github.com/UCSBarchlab/OpenTPU" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/UCSBarchlab/OpenTPU</span><span class="invisible"></span></a></p>
QCon Software Conferences<p>Scaling AI takes a team. <br>Bring your architects, leaders, &amp; engineers to <a href="https://techhub.social/tags/QConAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QConAI</span></a> (Dec 16–17, NYC) to align on what works now in <a href="https://techhub.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a>, <a href="https://techhub.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> &amp; production AI systems.</p><p>📩 Bringing 3+? Email info@qcon.ai for group discounts.</p><p>🔗 <a href="https://bit.ly/3ZttURM" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3ZttURM</span><span class="invisible"></span></a><br> <a href="https://techhub.social/tags/AIEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEngineering</span></a> <a href="https://techhub.social/tags/DevTeams" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DevTeams</span></a></p>
emmuzoo<p>🚕💡 The model is up and running! It predicts ride durations for NY Yellow Taxi trips, and I’m loving the MLOps journey. Now focusing on deploying the model and automating the process. <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/ZoomCamp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ZoomCamp</span></a> <a href="https://mastodon.social/tags/DataTalksClub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataTalksClub</span></a></p>
Dr. Thompson<p>🚀 $3.83 Billion by 2025? That’s the MLOps market powering GenAI at scale.<br>Discover the 5-stage blueprint keeping LLMs from going rogue – from hallucination drift to real-time prompt correction. 🧠⚙️</p><p>🔗 Read now: <a href="https://medium.com/@rogt.x1997/3-83-billion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/3-83-bi</span><span class="invisible">llion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b</span></a></p><p><a href="https://mastodon.social/tags/GenAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GenAI</span></a> <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://mastodon.social/tags/AIEngineering" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIEngineering</span></a> <a href="https://mastodon.social/tags/ModelOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ModelOps</span></a> <a href="https://mastodon.social/tags/LLM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LLM</span></a> <a href="https://mastodon.social/tags/AIStack" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AIStack</span></a><br><a href="https://medium.com/@rogt.x1997/3-83-billion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">medium.com/@rogt.x1997/3-83-bi</span><span class="invisible">llion-by-2025-why-mlops-is-becoming-the-backbone-of-scalable-ai-c9571db4e66b</span></a></p>
Jesper Dr.amsch :v_enby:<p>I'll be speaking at PyCon Germany 2025! 🎉</p><p>Should I have told you before the event actually starts? ... Maybe.</p><p>Despite being terrible at talking myself up, I'm sharing my talk "Going Global: Taking code from research to operational open ecosystem for AI weather forecasting".</p><p>In this session, I'll chronicle the journey of Anemoi, from experimental code by a small research team to a robust ecosystem supporting 40+ developers across multiple international weather agencies. We'll explore:</p><p>• Evolving from research notebooks to a structured package ecosystem<br>• Managing 300+ configuration options with Hydra<br>• Implementing model sharding for global weather predictions<br>• Integrating modern ML tooling with traditional meteorological systems<br>• Practical lessons on scaling Python ML systems</p><p>📅 Thursday, 11:35 in Platinum3<br>🔗 <a href="https://2025.pycon.de/talks/WMBDJ8/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">2025.pycon.de/talks/WMBDJ8/</span><span class="invisible"></span></a></p><p><a href="https://tech.lgbt/tags/PyConDE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PyConDE</span></a> <a href="https://tech.lgbt/tags/Python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Python</span></a> <a href="https://tech.lgbt/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://tech.lgbt/tags/WeatherForecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>WeatherForecasting</span></a> <a href="https://tech.lgbt/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> <a href="https://tech.lgbt/tags/DevOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DevOps</span></a> <a href="https://tech.lgbt/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a></p>
mozilla.ai<p>Lisbon AI folks!</p><p>Excited to see many of you tomorrow for our AI Agents meetup with the <a href="https://mastodon.social/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> Community and Lumiera at Cloudflare Lisbon.</p><p>We’ll talk about:<br>🔹 Domain-specific agents<br>🔹 Deployment challenges<br>🔹 Real-world lessons from teams building and shipping</p><p>Speakers from Mozilla.ai, Tripadvisor, and Unbabel.</p><p>Snacks, drinks, and good conversation await!</p><p>📍 Don’t forget to confirm via Verkada if you RSVP’d.</p><p>🗓️ Details: <a href="https://lu.ma/hmytvzm3" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">lu.ma/hmytvzm3</span><span class="invisible"></span></a></p>
Anita Graser 🇪🇺🇺🇦🇬🇪<p>The EMERALDS project <span class="h-card" translate="no"><a href="https://bird.makeup/users/emeraldseu" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>emeraldseu</span></a></span> is hosting an MLOps webinar "EMERALDS Data Infrastructure and Development Frameworks” on 21 February, at 11:30 CET, see <a href="https://emeralds-horizon.eu/events/emeralds-webinar-data-infrastructure-and-development-frameworks" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">emeralds-horizon.eu/events/eme</span><span class="invisible">ralds-webinar-data-infrastructure-and-development-frameworks</span></a></p><p>The talks explore the design and implementation of a dedicated <a href="https://fosstodon.org/tags/MLOps" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MLOps</span></a> platform built with specialised <a href="https://fosstodon.org/tags/mobility" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mobility</span></a> libraries and tools. This platform is tailored to support ML engineers in the development and deployment of machine learning models for real-world applications</p><p><a href="https://fosstodon.org/tags/MobilityDataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MobilityDataScience</span></a></p>
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