AWS releases new tools for AI, monitoring, and development.

Amazon Web Services (AWS) has added Claude 4.5 Haiku, Anthropic’s new lightweight model, to Amazon Bedrock. The model offers near-frontier performance at a fraction of the cost, delivering faster response times, vision support, and scalability for latency-sensitive workflows and large-scale deployments. Discover how this model could change the economics of AI in your organisation: https://lnkd.in/dNPKnitc #AWS #AI #CloudComputing #EnterpriseAI

In part two of our Leadership Perspective with Ben Schreiner of Amazon Web Services (AWS), we continue the conversation on AI business transformation essentials and look ahead to AI’s long-term impact and its role in the years to come. Read it here: https://lnkd.in/dWidjktw #EnterpriseAI #AgenticAI #AIFuture #AIInnovation #ModernDataStrategy #BenSchreiner #AWS #StayinFront #OnDeviceAI #RetailOptimization #ConsumerGoodsTech #AITransformation

The demand for deploying AI Agents and LLM-powered applications on the cloud is skyrocketing. Every company is racing to set up the right infrastructure to build, deploy, and scale their intelligent systems efficiently. If you’re building on AWS, one of the most powerful ways to bring your AI ideas to life is through Amazon Bedrock — a fully managed service designed to help you build, scale, maintain, and deploy foundation models and AI agent applications seamlessly. In my latest post, I break down everything you need to know to get started with AWS Bedrock — from selecting the right foundation model to integrating it into your architecture and scaling it for production. Whether you’re just exploring LLM infrastructure or preparing to deploy your first AI agent, this guide will give you the clarity and confidence to move fast while staying scalable. View post at --> https://lnkd.in/egySAYjT #AI #AWS #Bedrock #LLM #CloudComputing #AIAgents #MachineLearning

Amazon Web Services (AWS) has added interactive incident reporting to Amazon CloudWatch, giving engineers an AI-assisted way to investigate, analyze, and document system events. The new capability automatically gathers telemetry, correlates data, and generates detailed post-incident reports with timelines, impact assessments, and actionable recommendations. Learn how AWS is using AI to streamline post-incident analysis and improve operational health: https://lnkd.in/dFStbbtx #AWS #CloudComputing #Observability #AIOps #CloudWatch

AWS in 2025: Powering the Next Wave of Innovation ⚙️🌍 Amazon Web Services (AWS) continues to set the benchmark for cloud innovation in 2025 — from generative AI breakthroughs with Amazon Bedrock to sustainability-driven data centers and industry-specific cloud solutions for healthcare, finance, and manufacturing. What fascinates me most is how AWS integrates AI and automation seamlessly — empowering developers to build faster, scale globally, and reduce complexity without compromising performance or security. If you’re exploring AWS in 2025, here are some exciting areas to dive into: • Generative AI with Bedrock and SageMaker AI • Serverless apps using Lambda and API Gateway • Real-time insights through Redshift + Glue pipelines • Sustainable computing powered by energy-efficient data centers AWS isn’t just transforming technology — it’s transforming how we think about problem-solving itself. Are you currently building something on AWS? I’d love to hear what you’re experimenting with! 🚀 #AWS #CloudComputing #AI #Serverless #FullStackDevelopment #Innovation #TechTrends2025

☁️ White Paper: Generative AI on AWS — Architecting for Scale, Security & Sustainability 📄 Released: August 2025, Amazon Web Services (AWS) As enterprises move from experimentation to full-scale deployment of Generative AI, AWS presents a comprehensive blueprint for building, deploying, and governing AI systems in the cloud. This white paper highlights how scalable infrastructure and robust governance frameworks can power innovation responsibly. 🔍 Core Focus: Designing cloud-native architectures that balance performance, cost, and compliance — without compromising agility. 📘 Key Insights: ⚙️ Scalable Infrastructure: Amazon Bedrock and SageMaker enable rapid model training and deployment across global regions. 🔒 Data Security: Advanced encryption, IAM roles, and region-level compliance support enterprise-grade AI applications. 🌍 Sustainability: Green AI practices — leveraging Graviton processors and energy-aware model training. 🚀 Operational Excellence: Best practices for CI/CD pipelines with integrated ML Ops and monitoring at petabyte scale. 💡 Takeaway: Generative AI success depends on infrastructure intelligence — building systems that scale seamlessly, secure data rigorously, and sustain operations efficiently. 🔗 Read the full white paper: aws.amazon.com/whitepapers #WhitePaperSeries #AWS #GenerativeAI #CloudComputing #AIMLOps #Sustainability #Security #Innovation #AmazonWebServices #CloudArchitecture

🤖 AI that doesn’t just think - it acts. Welcome to Agentic AI on AWS Forget AI that only answers questions, this one actually plans, executes, and completes tasks safely inside AWS. Meet Amazon Bedrock AgentCore, the new way to let AI automate real cloud jobs, from log checks to reports and data workflows. It’s practical, powerful, and just the start of the Agentic era. 👉 Read more: https://lnkd.in/gzmwYXuX #AgenticAI #AWS #AmazonBedrock #AmazonWebServices #CloudComputing #AIAutomation #CloudAutomation #AIinCloud #DevOps #CloudEngineering #MachineLearning #ArtificialIntelligence #CloudOps #MLOps #FutureOfWork #TechInnovation #AIDriven #Serverless #AWSTools #CloudCareers

In today's market, pricing is a critical factor for organizations investing in generative AI and agentic AI systems. CoreWeave distinguishes itself by providing transparent, simple, and lower-cost GPU solutions compared to AWS. While AWS may be necessary for certain dependencies, CoreWeave focuses on delivering high GPU performance at a consistently lower price point than major hyperscalers like AWS, Microsoft, and Google. This makes it an attractive option for businesses prioritizing cost-effectiveness without sacrificing performance. #GenerativeAI #AIpricing #CoreWeave #AWS #GPU #CostEffectiveness

𝗕𝗶𝗴 𝗻𝗲𝘄𝘀: 𝗢𝗽𝗲𝗻𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 𝗮𝗿𝗲 𝗻𝗼𝘄 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗼𝗻 𝗔𝗪𝗦! This unlocks a major step forward for enterprise AI builders. With 𝗚𝗣𝗧 𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿 𝗢𝗽𝗲𝗻𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 hosted directly on Amazon Bedrock, teams can now:   • Build securely within their AWS environment   • Integrate models with Lambda, S3 and SageMaker   • Scale globally with AWS’s infrastructure   • Keep data private and compliant No more juggling external APIs, AI is now 𝗻𝗮𝘁𝗶𝘃𝗲𝗹𝘆 𝗽𝗮𝗿𝘁 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺. For engineers, this means one thing: 𝘠𝘰𝘶 𝘤𝘢𝘯 𝘥𝘦𝘴𝘪𝘨𝘯, 𝘥𝘦𝘱𝘭𝘰𝘺 𝘢𝘯𝘥 𝘴𝘤𝘢𝘭𝘦 𝘖𝘱𝘦𝘯𝘈𝘐-𝘱𝘰𝘸𝘦𝘳𝘦𝘥 𝘴𝘺𝘴𝘵𝘦𝘮𝘴 𝘵𝘩𝘦 𝘴𝘢𝘮𝘦 𝘸𝘢𝘺 𝘺𝘰𝘶 𝘮𝘢𝘯𝘢𝘨𝘦 𝘢𝘯𝘺 𝘈𝘞𝘚 𝘴𝘦𝘳𝘷𝘪𝘤𝘦. This is how AI becomes truly enterprise-ready. ♻️ Repost if you believe the future of AI is about depth, not noise. 🔔 Follow Rahul for more insights on building AI systems that think, act, and evolve intelligently. #OpenAI #AWS #AmazonBedrock #AIEngineering #CloudComputing #MachineLearning #AIInfrastructure #AgenticAI #RAG

The OpenAI-AWS $38B multi-year commitment with AWS deal signals a seismic shift in enterprise AI, it’s beyond the numbers, and it’s happening faster than most realize. Three critical insights should wake up every executive: 1. Model democratization is real. OpenAI is no longer Azure-exclusive. They’re now available on Amazon Web Services (AWS) Bedrock along side with Anthropic with massive number of customers already onboard. The walls are coming down. 2. OpenAI is betting big on their own growth. Reserving compute capacity across multiple clouds isn’t just diversification. It’s a projection of massive consumption. They’re preparing for exponential adoption. If the model providers believe the surge is coming, shouldn’t we? 3. The new gold rush is accelerating. This isn’t a wait-and-see moment anymore. Organizations that hesitate won’t just fall behind. They’ll become irrelevant. And here’s what’s telling: OpenAI is gravitating toward Amazon Web Services (AWS), the most trusted and preferred cloud infrastructure by enterprise customers. That’s not coincidental. It’s strategic alignment with where the market already is. The call to action is clear: • Build a standardized approach with clear best practices and golden paths to AI agents on proven frameworks like AllCloud’s AI Fusion • Establish an AI operating model NOW • Make AI adoption a strategic priority, not an innovation experiment The fast train to AI has left the station. The question isn’t whether to board. It’s whether you can still catch it. So ask yourself: What does your 2026 AI budget look like? Did you take it seriously enough? #AIFusion #GenerativeAI #AWS #AllCloud #EnterpriseAI #AITransformation Eran Gil, Ronit Rubin, Jonathon Nisenboum, Peter Nebel, Gabriel Romero , Joanne Pallas, Omri Kovalski, Evan Reese, CDMP, CDVP2, Amir Hunga, Marco Koch-Ribeiro, Hannes Novak, Gregg Kitaeff, Tonio Fruehauf, Hans Schabert, Ilan Froimovici, Shay Wissotzky Cohen 🇮🇱🎗, Kiran Randhi, Nadia A Riordan