#mlops search results

Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.

futurebeast_04's tweet image. Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.
futurebeast_04's tweet image. Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.
futurebeast_04's tweet image. Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.

Machine learning operations (MLOps) can be costly. By redefining the framework for MLOps, organizations can better meet business needs and drive value. Source @Deloitte Link bit.ly/3UjEM11 rt @antgrasso #AI #ML #MLOps

Tech2Specialist's tweet image. Machine learning operations (MLOps) can be costly. By redefining the framework for MLOps, organizations can better meet business needs and drive value.

Source @Deloitte Link bit.ly/3UjEM11 rt @antgrasso #AI #ML #MLOps

Real-time AI isn’t an endpoint—it’s a pipeline. 🔥 ZenML’s new Pipeline Deployments turn LLM agents & classical ML into warm, persistent services: • 10–100x fewer cold starts • Full lineage + instant rollbacks • FastAPI under the hood Ship today: #AI #MLOps #LLM

htahir111's tweet image. Real-time AI isn’t an endpoint—it’s a pipeline. 🔥

ZenML’s new Pipeline Deployments turn LLM agents & classical ML into warm, persistent services:
• 10–100x fewer cold starts
• Full lineage + instant rollbacks
• FastAPI under the hood

Ship today: #AI #MLOps #LLM…

Day 6/25 – Bringing Machine Learning to Life with FastAPI 🚀 Today I built a FastAPI app around my Kaggle Loan Payback model, and this is where the project becomes useful in the real world. Here’s why 👇 #25DayProgressChallenge #FastAPI #MLOps #Fintech #machinelearningprojects


Ⓜ️ Choosing MLOps tools? Here’s a breakdown of 21 open-source options and what they do best 👇 ➡️ kiroframe.com/21-open-source… #MLOps #MLOpsplatform #AI #MachineLearning #DataScience #Automation #DevOps #ModelOps #AIDevelopment #Kiroframe

hystaxcom's tweet image. Ⓜ️ Choosing MLOps tools? Here’s a breakdown of 21 open-source options and what they do best 👇
➡️ kiroframe.com/21-open-source…

#MLOps #MLOpsplatform #AI #MachineLearning #DataScience #Automation #DevOps #ModelOps #AIDevelopment #Kiroframe

[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0 —————— #AI #ML #DataScience #DeepLearning #DataScientist

KirkDBorne's tweet image. [Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0
——————
#AI #ML #DataScience #DeepLearning #DataScientist

🎉 Our new O’Reilly book just dropped last week! Learn how to build real-time, production-ready ML systems with MLOps, LLMOps, context engineering & agentic AI. 👉 Read Chapter 1 here: hopsworks.ai/lp/oreilly-boo… #MLOps #LLMOps #AI #FeatureStore #Flink

hopsworks's tweet image. 🎉 Our new O’Reilly book just dropped last week!  Learn how to build real-time, production-ready ML systems with MLOps, LLMOps, context engineering & agentic AI.

👉 Read Chapter 1 here: hopsworks.ai/lp/oreilly-boo…

#MLOps #LLMOps #AI #FeatureStore #Flink

We're conjuring up something special for swampUP Europe 2025... 🪄 Special guest Lior Suchard will be on stage reading minds while we show you how to make your #DevOps, #DevSecOps, and #MLOps challenges vanish. See the magic for yourself in Berlin for #swampUPEurope - Register…


Let's just these terms to two: #MLOps, #GenAIOps, #FMOps, #LLMOps, #PromptOps, #RAGOps, and #AgentOps GenAI in Production: MLOps or GenAIOps? medium.com/google-cloud/g…

bibryam's tweet image. Let's just these terms to two:
#MLOps, #GenAIOps, #FMOps, #LLMOps, #PromptOps, #RAGOps, and #AgentOps

GenAI in Production: MLOps or GenAIOps?
medium.com/google-cloud/g…

Managing a massive fleet of #AI models doesn't have to be chaotic. Red Hat breaks down the #MLOps challenge and shares the practical roadmap for making your model lifecycle repeatable, controlled and compliant. Check out our article to see how we view large numbers of AI models…

RedHat's tweet image. Managing a massive fleet of #AI models doesn't have to be chaotic. Red Hat breaks down the #MLOps challenge and shares the practical roadmap for making your model lifecycle repeatable, controlled and compliant.

Check out our article to see how we view large numbers of AI models…

The countdown is on! ⏳ ⏳ The countdown is on and swampUP Europe is coming soon! Meet us in Berlin from 12-14 November for the year's most insightful #DevOps, #DevSecOps, #MLOps, and #security conference. 🌟 Get ready for incredible keynotes, deep-dive sessions, and…


𝗪𝗲'𝘃𝗲 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝗱 𝘁𝗵𝗲 𝗵𝘆𝗽𝗲𝗿𝘀𝗰𝗮𝗹𝗲𝗿𝘀! 👉 ...and 𝗠𝗧/𝗦𝗽𝗿𝗼𝘂𝘁'𝘀 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝗿𝟱𝟬 𝟮𝟬𝟮𝟱 list of fifty most daring and fast-growing companies in the Netherlands took notice #AIEngineering #AgentManagement #MLOps #EuropeanTech

orq_ai's tweet image. 𝗪𝗲'𝘃𝗲 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝗱 𝘁𝗵𝗲 𝗵𝘆𝗽𝗲𝗿𝘀𝗰𝗮𝗹𝗲𝗿𝘀! 

👉 ...and 𝗠𝗧/𝗦𝗽𝗿𝗼𝘂𝘁'𝘀 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝗿𝟱𝟬 𝟮𝟬𝟮𝟱 list of fifty most daring and fast-growing companies in the Netherlands took notice

#AIEngineering #AgentManagement #MLOps #EuropeanTech

Ready to deploy ML models without the server management headache? Our latest guide shows you how to use AWS Lambda and ONNX for a cost-effective, auto-scaling inference pipeline. Dive in and simplify your MLOps workflow! pyimg.co/9yexs #AWSLambda #MLOps #ONNX

PyImageSearch's tweet image. Ready to deploy ML models without the server management headache? Our latest guide shows you how to use AWS Lambda and ONNX for a cost-effective, auto-scaling inference pipeline. 

Dive in and simplify your MLOps workflow! 

pyimg.co/9yexs 

#AWSLambda #MLOps #ONNX

I just published RapidFire AI RAG sets sights on agentic AI efforts medium.com/p/rapidfire-ai… #MLOps

JackIVaughan's tweet image. I just published RapidFire AI RAG sets sights on agentic AI efforts medium.com/p/rapidfire-ai… #MLOps

Shoutout to the incredible team at @oxen_ai! Turning datasets → deployed models like it’s light work. They build fast. We help them ship even faster. Thanks for the partnership, @gregschoeninger Check out the story in the comments #AI #MLOps #Baseten

basetenco's tweet image. Shoutout to the incredible team at @oxen_ai! Turning datasets → deployed models like it’s light work. They build fast. We help them ship even faster.

Thanks for the partnership, @gregschoeninger

Check out the story in the comments
#AI #MLOps #Baseten

Anthropic acaba de bajar 66% el precio de Opus. 80.9% SWE-bench. Mejor que GPT-5.1. Esto no es solo una API más barata. Es una pricing war que beneficia a startups. Pero hay un catch técnico que muchos no ven... 🧵👇 #Claude #MLOps #RAG


MLOps ensures our models are always learning. But if they're constantly retraining themselves due to drift, does that mean MLOps engineers are basically just professional model whisperers? Asking for a friend... my model just asked for a raise. 🤖😅 #MLOps #ModelDrift


@datahaven_xyz @DataHaven_xyz exposes the hidden cost of “good enough” data pipelines: $2.4M in wasted compute over six months. Their cost-benefit framework for provenance tracking is immediately actionable. If you’re not auditing your data supply chain yet, start here. #MLOps


ZenML takes the chaos out of machine learning workflows — offering a structured, scalable, and reproducible framework for teams that mean business. Learn more: aziro.com/services/ai-na… #AziroTechByte #AI #MLOps #ZenML #AziroTech

AziroTech's tweet image. ZenML takes the chaos out of machine learning workflows — offering a structured, scalable, and reproducible framework for teams that mean business.

Learn more: aziro.com/services/ai-na…

#AziroTechByte #AI #MLOps #ZenML #AziroTech
AziroTech's tweet image. ZenML takes the chaos out of machine learning workflows — offering a structured, scalable, and reproducible framework for teams that mean business.

Learn more: aziro.com/services/ai-na…

#AziroTechByte #AI #MLOps #ZenML #AziroTech
AziroTech's tweet image. ZenML takes the chaos out of machine learning workflows — offering a structured, scalable, and reproducible framework for teams that mean business.

Learn more: aziro.com/services/ai-na…

#AziroTechByte #AI #MLOps #ZenML #AziroTech
AziroTech's tweet image. ZenML takes the chaos out of machine learning workflows — offering a structured, scalable, and reproducible framework for teams that mean business.

Learn more: aziro.com/services/ai-na…

#AziroTechByte #AI #MLOps #ZenML #AziroTech

From data to deployment: Raw Data → Clean Data → Model Training → Evaluation → Deployment → Monitoring Miss one step, and your AI fails. Which step is the hardest for you? #AI #MachineLearning #MLOps


MLOps ensures our models behave in production. But if a model goes rogue, who's responsible for the digital therapy sessions? Asking for a friend... who just deployed their first LLM. 🤖😅 #MLOps #AIGovernance


Don't let a rushed AI deployment sideline your project! Before you go live, a rigorous check of data quality, performance stability, and integration readiness is important for a production-ready model. Deploy with confidence: binatedigital.com #AI #MLOps #Binate

officialbinate's tweet image. Don't let a rushed AI deployment sideline your project!

Before you go live, a rigorous check of data quality, performance stability, and integration readiness is important for a production-ready model.

Deploy with confidence: binatedigital.com

#AI #MLOps #Binate

🎯 Selección de modelo: Modelos pequeños a menudo mejor $/rendimiento: • Llama-3-8B: 90% calidad GPT-4 • 10x más barato • 5x más rápido Más grande ≠ siempre mejor #MLOps #GMMTV2026


📊 スケール前に: 小規模データセットでテスト 測定: • トークン/秒 • コスト/1000リクエスト • P95レイテンシ 自信を持ってスケール VoltageGPU: 60秒でデプロイ #MLOps #otgala10


🚀 推論ハック: 一般的なクエリの埋め込みをキャッシュ 結果: • API呼び出し50%減 • レスポンス2倍速 • コスト50%削減 低コストの成果 #MLOps #WWERAW


🌐 Bénéfice décentralisation: Pas de point unique de défaillance Si un nœud tombe: • Trafic auto-redirige • Zéro downtime • Même performance 99.9% uptime garanti Bittensor + VoltageGPU #MLOps #moreTrends voltagegpu.com/?utm_source=tw…

voltagegpu.com

VoltageGPU - Decentralized GPU Cloud

GPU compute and AI inference at 85% lower costs


Here's your 5-step guide to creating a verifiable chain of custody for your @databricks models and securely productionizing them with JFrog. Model governance and #security are the biggest hurdles in #MLOps, especially when bridging the gap between development in Databricks and…


How did Chinchilla beat GPT-3 with less compute? 🤔 The answer is: balance over scale. 📰 We mapped the playbook (sparsity, RAG, real cases): read it now: redwerk.com/blog/scaling-a… #AI #MLOps


Detrás de #GMMTV2026 y #Claudia hay #MLOps trabajando 24/7 VoltageGPU: ✅ GPU Pods en MINUTOS (no horas) ✅ 70-80% más barato ✅ Sin egress, sin idle time ✅ Sin lock-in 🎁 PRUEBA GRATIS: $5 de crédito - HASHCODE-voltage-665ab4 voltagegpu.com/?utm_source=tw…

voltagegpu.com

VoltageGPU - Decentralized GPU Cloud

GPU compute and AI inference at 85% lower costs


Kicked off my End-To-End MLOps pipeline for sentiment analysis 🚀 Implemented DVC for data & model versioning + built automated pipeline stages. More to come! ⚙️📊 #MLOps #DataScience #DVC

iimayank45's tweet image. Kicked off my End-To-End MLOps pipeline for sentiment analysis 🚀
Implemented DVC for data & model versioning + built automated pipeline stages. More to come! ⚙️📊 #MLOps #DataScience #DVC
iimayank45's tweet image. Kicked off my End-To-End MLOps pipeline for sentiment analysis 🚀
Implemented DVC for data & model versioning + built automated pipeline stages. More to come! ⚙️📊 #MLOps #DataScience #DVC

💡 ¿Sabías que? Las GPUs procesan miles de cálculos en paralelo, acelerando el entrenamiento de IA 10-100x vs CPUs VRAM = Tamaño del modelo que puedes entrenar Más VRAM = Batches más grandes = Entrenamiento más rápido #MLOps #BamBamxJacobAndCoSG


Caso real: Soporte al cliente con #MLOps 2M chat turns/mes (200 in, 130 out tokens) VoltageGPU (DeepSeek-R1): $665/mes OpenAI (GPT-5): $3,100/mes 78.6% ahorro! 💰 🎁 PRUEBA GRATIS: $5 de crédito - HASHCODE-voltage-665ab4 voltagegpu.com/?utm_source=tw…

voltagegpu.com

VoltageGPU - Decentralized GPU Cloud

GPU compute and AI inference at 85% lower costs


[Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0 —————— #AI #ML #DataScience #DeepLearning #DataScientist

KirkDBorne's tweet image. [Excellent Book] #MachineLearning Design Patterns — Solutions to Common Challenges in Data Preparation, Model-Building, and #MLOps: amzn.to/2W7YSy0
——————
#AI #ML #DataScience #DeepLearning #DataScientist

📘 Deploy de Modelos em Produção Domine a implantação de modelos de Machine Learning em ambientes reais — do zero ao avançado. 🔗 Compre aqui: amazon.com.br/Curso-Deploy-M… #MachineLearning #MLOps #DevOps

nadafdsf19791's tweet image. 📘 Deploy de Modelos em Produção

Domine a implantação de modelos de Machine Learning em ambientes reais — do zero ao avançado.

🔗 Compre aqui: amazon.com.br/Curso-Deploy-M…

#MachineLearning #MLOps #DevOps

𝐂𝐈/𝐂𝐃 is the game-changer in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠. Automating code, data, and model workflows means faster deployment, fewer risks, and smarter AI. MLOps is the future. #MachineLearning #MLOps #AI #DataScience #DevOps #CICD #FutureOfAI

academiamag's tweet image. 𝐂𝐈/𝐂𝐃 is the game-changer in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠. Automating code, data, and model workflows means faster deployment, fewer risks, and smarter AI. MLOps is the future.
#MachineLearning #MLOps #AI #DataScience #DevOps #CICD #FutureOfAI

Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.

futurebeast_04's tweet image. Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.
futurebeast_04's tweet image. Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.
futurebeast_04's tweet image. Built Observa — a full-stack #MLOps project for NLP inference with MLflow, DVC, Grafana & Prometheus integration. Everything tracked, versioned & observable.

Just dropped a new blog post! 🚀 I'm breaking down how to move your machine learning projects from Docker to Singularity for use in high-performance computing (HPC) environments. Check it out! #MLOps #Docker #Singularity #HPC #MachineLearning mostafaelaraby.com/tutorials/2025…

melaraby91's tweet image. Just dropped a new blog post! 🚀 I'm breaking down how to move your machine learning projects from Docker to Singularity for use in high-performance computing (HPC) environments. Check it out! #MLOps #Docker #Singularity #HPC #MachineLearning 
mostafaelaraby.com/tutorials/2025…

Every #MachineLearning Engineer and experienced #DataScientist (more than 1 year) should know about #MLOps. Learn to build an MLOps Pipeline using Apache Airflow. Here’s my complete guided project: amanxai.com/2025/01/20/mlo…

amankk_9's tweet image. Every #MachineLearning Engineer and experienced #DataScientist (more than 1 year) should know about #MLOps.

Learn to build an MLOps Pipeline using Apache Airflow.

Here’s my complete guided project: amanxai.com/2025/01/20/mlo…

I just published RapidFire AI RAG sets sights on agentic AI efforts medium.com/p/rapidfire-ai… #MLOps

JackIVaughan's tweet image. I just published RapidFire AI RAG sets sights on agentic AI efforts medium.com/p/rapidfire-ai… #MLOps

Real-time AI isn’t an endpoint—it’s a pipeline. 🔥 ZenML’s new Pipeline Deployments turn LLM agents & classical ML into warm, persistent services: • 10–100x fewer cold starts • Full lineage + instant rollbacks • FastAPI under the hood Ship today: #AI #MLOps #LLM

htahir111's tweet image. Real-time AI isn’t an endpoint—it’s a pipeline. 🔥

ZenML’s new Pipeline Deployments turn LLM agents & classical ML into warm, persistent services:
• 10–100x fewer cold starts
• Full lineage + instant rollbacks
• FastAPI under the hood

Ship today: #AI #MLOps #LLM…

Managing a massive fleet of #AI models doesn't have to be chaotic. Red Hat breaks down the #MLOps challenge and shares the practical roadmap for making your model lifecycle repeatable, controlled and compliant. Check out our article to see how we view large numbers of AI models…

RedHat's tweet image. Managing a massive fleet of #AI models doesn't have to be chaotic. Red Hat breaks down the #MLOps challenge and shares the practical roadmap for making your model lifecycle repeatable, controlled and compliant.

Check out our article to see how we view large numbers of AI models…

#MachineLearning Solutions Architect Handbook — Practical Strategies and Best Practices in the #ML Lifecycle, System Design, #MLOps, and Generative AI: amzn.to/4bx8t6b v/ @PacktDataML —————— #DataScience #DataScientist #AI #GenAI #LLMs #LLMOps

KirkDBorne's tweet image. #MachineLearning Solutions Architect Handbook — Practical Strategies and Best Practices in the #ML Lifecycle, System Design, #MLOps, and Generative AI: amzn.to/4bx8t6b v/ @PacktDataML
——————
#DataScience #DataScientist #AI #GenAI #LLMs #LLMOps

85% of organizations experiment with machine learning. Only 20% make it to deployment. The real race isn’t about who trains faster—it’s about who scales smarter. Because an undeployed model isn’t innovation. It’s potential left idle: tinyurl.com/39kdj7p8. #NetwebTyrone #MLOps

netwebtech's tweet image. 85% of organizations experiment with machine learning. Only 20% make it to deployment. The real race isn’t about who trains faster—it’s about who scales smarter. Because an undeployed model isn’t innovation. It’s potential left idle: tinyurl.com/39kdj7p8. #NetwebTyrone #MLOps

MLOps is the process of operationalizing machine learning models using automation in different domains. Here are the four key phases of MLOps. Source @Deloitte Link bit.ly/3H96g4P RT @antgrasso #MLOps

MarketerNCust's tweet image. MLOps is the process of operationalizing machine learning models using automation in different domains. Here are the four key phases of MLOps.

Source @Deloitte Link bit.ly/3H96g4P RT @antgrasso #MLOps

3 days to #OVHcloudPartnerNetworkSummit25! Stop by the @valohaiai booth → Automate MLOps at European scale 🇪🇺 #AI #MLOps #OVHcloudSummit25

valohaiai's tweet image. 3 days to #OVHcloudPartnerNetworkSummit25!

Stop by the @valohaiai booth → Automate MLOps at European scale 🇪🇺
#AI #MLOps #OVHcloudSummit25

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