Cast AI

🚀 Node Scaling Optimization: join Bertram Hass (Mercedes-Benz.io) as he reveals how his team optimized costs while maintaining reliability with Cast AI. Come learn why AI-driven Dynamic Scaling and Workload resource rightsizing are mission-critical, not optional. Don't miss this talk at KubeCon London—your clusters will thank you! #Kubernetes #DevOps https://lnkd.in/eAfHdDf | Skander Belli | Moti Gabay | Ferréol "Fé" Hoppenot | Marko Markovic | Achim Brand | Yoann Legrand | Aurélie Coignard | Leon Macaulay | Etay Keinan | Veronika Kotenko | Marta Manzanera Martinez | Mariane Kido | Ioana Gramschi 

The 2025 Kubernetes Cost Benchmark Report is here! The third edition of our report uncovers that only 10% of provisioned CPUs and 23% of memory are utilized. CPU utilization decreased by 23% since last year, and memory utilization slightly improved by 15%. How efficiently are Kubernetes clusters using CPU and memory? Which cloud provider offers the best rates for GPU-powered instances? Our report dives into the growing challenge of overprovisioning and underutilization in Kubernetes environments. Key insights include: 🔷 CPU and memory utilization benchmarks 🔷 Price trends for CPU and GPU Spot Instances 🔷 Proven strategies to cut cloud waste and optimize workloads See how your clusters stack up—and discover how automation helps teams slash costs while boosting DevOps efficiency. 📥 Get your copy at: https://lnkd.in/d3ia4HwM

Heading to the AWS ISV Embark Series: Modern Apps Edition 2025? 💡 Don’t miss the session by our Regional Field CTO, Gaurang Singh, to explore how teams reduce costs and boost their productivity using K8s automation! ✍ Follow this link to register: https://lnkd.in/ehb5RjFS

Cost monitoring alone won’t drive cost savings - only automation can. And that holds true for companies of all sizes. Flowcore, the startup behind Flowcore Streams, a developer-first platform for flexible, ready-to-go Kafka clusters, experienced this firsthand. As the company scaled and onboarded new customers, growing data volumes made cost control a more pressing concern. This prompted the search for a solution that could improve visibility and optimize costs in dynamic, high-traffic environments. Flowcore implemented Cast AI and saw: 🔷 50% cloud cost savings 🔷 Dramatic improvement in resource allocation efficiency 🔷 In-depth cost visibility across every cluster Many thanks to Julius Á Rógvi Biskopstø and the Flowecore team for this amazing collaboration! Read the full case study here: https://lnkd.in/eVn3yeej

🚨 Cast AI is now everywhere Kubernetes runs! 🚨 We’re expanding beyond the cloud: Cast AI now supports on-premises and additional cloud platforms, including Red Hat OpenShift, Oracle Cloud, IBM Cloud, Linode, and more. Whether you’re running Kubernetes on bare metal, hybrid setups, or across multiple clouds, you can now rely on Cast AI’s automated workload rightsizing and resource allocation to improve performance, simplify operations, and cut costs from a single platform. ✅ Workload rightsizing to eliminate overprovisioning ✅ Resource allocation optimization for peak performance ✅ Cost monitoring and visibility across every environment ✅ Standardized optimization wherever your clusters runThis is real-time, automation-driven efficiency for on-premises, hybrid, and multi-cloud Kubernetes environments. Ready to bring Kubernetes optimization everywhere? Learn more: https://lnkd.in/eiUWSf38 #Kubernetes #CloudCostOptimization #DevOps #HybridCloud #OnPrem #CloudComputing #KubernetesAutomation #PlatformEngineering #CastAI #CloudEfficiency #FinOps

Big news! Cast AI's LLM Optimization solution AI Enabler now supports deepseek-r1:70B! Jump into our Playground, test-drive the buzzed-about model, and see how it stacks up against your go-to LLMs. Bonus: Deploy it in your own cluster with ollama—coming soon!

Guess what? Starting today, customers can run Cast AI wherever they have Kubernetes clusters! That’s right… you can run Cast AI on AWS, Azure, Google Cloud, on-premises Kubernetes clusters, Red Hat OpenShift, Rancher, Oracle Cloud, IBM Cloud, Linode, and more! That means teams can now automatically streamline resource allocation, improve performance, and reduce costs across all Kubernetes environments. https://lnkd.in/eiUWSf38

Thank you to everyone who stopped by at the India DevOps Show 2025! We had a fantastic time connecting with so many talented DevOps engineers driving automation forward. A special shout-out to our Regional Director, APAC, Vinayak Bhandarkar, for his insightful session on automated Kubernetes optimization. If you missed it, don't worry – more insights are coming soon! We’re excited to continue helping teams boost their productivity with Kubernetes automation. 🚀 Let’s keep the conversation going!

We’re honored to share that Cast AI has been recognized as an IDC Innovator for FinOps and Cloud Cost Transparency! Recognition like this reinforces that we’re making progress against our mission to deliver a fully automated Kubernetes experience.