#Cloud Computing Models

Comment “CLOUD” to get the links! 🔥 Trying to work in modern tech without understanding Cloud Computing is like building software for a single laptop in a world that runs on distributed systems. If you want scalability, reliability, and real-world engineering skills, this mini roadmap is your entry point. ⚡ Cloud Computing Explained A clear, high-level breakdown of what cloud computing actually is, why it exists, and how companies really use it. ⏱ Cloud Computing in 2 Minutes A fast, simplified overview to lock in the core ideas: servers, regions, scalability, and on-demand infrastructure. ☁ What is Cloud Storage? Understand object storage, why it replaced traditional servers, and how data is stored and accessed at scale. 💡 With these Cloud resources you will: 🚀 Think beyond “my code runs locally” and start thinking in distributed systems 🧠 Understand the foundations behind AWS, Azure, and GCP 🏗 Bridge the gap between writing code and deploying real, scalable applications ☁ Level up for Backend, Cloud, DevOps, and Production Engineering roles If you want to move from “I built an app” to “I deployed a system that scales,” Cloud Computing isn’t optional, it’s foundational. 📌 Save this post so you always have a Cloud roadmap. 💬 Comment “CLOUD” and I’ll send you all the links! 👉 Follow for more Backend Engineering, Cloud, System Design, and Career Growth.

Follow @cloud_x_berry for more info #CloudArchitecture #CloudComputing #CloudEngineer #ModernCloud #TechInfrastructure cloud architecture basics, cloud compute services, cloud storage solutions, cloud networking, cloud security, cloud monitoring, scalable applications, high availability, load balancing, distributed systems, infrastructure as a service, platform as a service, serverless computing, containerized applications, Kubernetes in cloud, AWS Azure GCP, cloud deployment models, DevOps in cloud, cloud best practices, enterprise cloud systems

Top 6 Skills to Become a Cloud Architect! 🚀☁️ In this video, I’m breaking down the top 6 essential skills you need to become a cloud architect: 1. Infrastructure as Code (IaC): Master tools like Terraform and CloudFormation. 2. Networking: Understand virtual networks, routing, and security groups. 3. Security: Learn cloud security best practices and IAM. 4. DevOps: Get hands-on with CI/CD pipelines, Docker, and Kubernetes. 5. Scripting/Programming: Proficiency in Python, Java, Go, Bash, or PowerShell. 6. Monitoring and Logging: Use tools like Prometheus and CloudWatch for monitoring and logging. Boost your cloud career with these must-have skills! 💪📈 #CloudArchitect #TechSkills #CloudTechnology #DevOps #Networking #IaC #CloudSecurity #TechTokWithKriti #WomenInTech #Programming #TechEducation #CareerTips #TechCommunity

AI has outgrown traditional cloud infrastructure. A new category is emerging: NeoClouds. 𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 data centers were designed for general workloads: Web apps, Databases, Storage, Virtual machines. AI workloads are different. Training frontier models requires tightly coupled GPUs, extreme networking bandwidth, and sustained high-density power delivery. NVIDIA CEO Jensen Huang calls these environments 𝗔𝗜 𝗙𝗮𝗰𝘁𝗼𝗿𝗶𝗲𝘀.Facilities where compute and data go in, and trained intelligence comes out. NeoClouds are the operators building them like CoreWeave, Lambda, Nebius. They were purpose-built for GPU-intensive AI training from day 1, not retrofitted from general cloud architecture. 𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗡𝗲𝗼𝗖𝗹𝗼𝘂𝗱𝘀 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 ☑️ Massive GPU clusters functioning as a single supercomputer ☑️ Bare-metal performance with minimal abstraction layers ☑️ Ultra-low latency networking for distributed training ☑️ Advanced liquid cooling to sustain high thermal loads For large-scale model training, this changes economics and timelines dramatically. 🤝 Hyperscalers are not disappearing. They are partnering. Building AI-scale infrastructure takes years, and model demand is compounding now. We are seeing the specialization of cloud infrastructure in real time. Understanding where your workload fits is no longer optional. It affects cost, performance, and competitive advantage. ____ 👋 Hi, I’m Viktoria, Principal AI Evangelist at Databricks. I make complex AI accessible. Follow for more! #AIExplained #NeoCloud #AIFactory #CloudComputing #LearnAI

Want to learn how to make point cloud animations like these? I made a full masterclass that goes over the entire process. The exact project file for this render is included! #blender #pointcloud #lidar #photogrammetry #vfx #newmediaart #artistsofinstagram #abstractart #concertvisuals

🚀 Exploring Various Deployment Methods for AI Models! 🤖💻 . Discover diverse strategies for deploying AI models, including cloud-based services, edge computing, containerization, serverless architecture, and more. Save this post to understand different deployment approaches. Follow @iamsantoshmishra and @interviewcafe.in for deeper insights into AI deployment! . Hashtags (ignore) #aideployment #machinelearning #cloudservices #edgecomputing #containerization #serverless #techlearning #aiapplications #deploymentstrategies #codingcommunity

point cloud scans and dissipation using mediapipe plugin by @blankensmithing in @touchdesigner // inspired by @luchen_xi #touchdesigner #pointclouds #particles #livevisuals #creativecoding

All AI Models at one place ⚔️ This 1 tool handles the every pipeline and manages all the models #developer #models

Did you know Cloud elasticity is one of the critical features of Cloud computing services? Cloud elasticity assumes great significance in defining and differentiating several cloud computing models. It helps avoid over-provisioning and under-provisioning of resources. Watch the video and send us your thoughts! #DidYouKnow #ThinkPalm #TechFacts #KnowledgeSharing #technologynews #thefact #facts #factsonly #cloudcomputing #cloud #cloudelasticity

Run AI models locally like a pro for FREE! Run popular open source models like OpenAI GPT OSS, Google Gemma, Alibaba’s Qwen and Deepseek R1

I use photogrammetry and LiDAR to create 3D models for my point cloud animations, using @kiri_engine_app for this specific project. Interested in learning more? Check out @mv.nyc for details on creating point cloud animations.

Building a portfolio with Antigravity + Claude… AI tools are getting wild 🤯 . @claudeai Antigravity: an AI dev environment that turns prompts into working apps. Claude: an AI coding assistant that writes and structures the code. Process: 1️⃣ Wrote a prompt describing the portfolio and tech stack 2️⃣ Used Next.js + Tailwind + Framer Motion for the setup 3️⃣ Added a scroll-based image sequence rendered with Canvas 4️⃣ Synced scroll progress to animation frames 5️⃣ Added parallax text overlays and a modern project grid AI + prompts → full scrollytelling portfolio. AI dev tools are getting insane.” . #googleantigravity #antigravityai #aicoding #vibecoding #gemini3 aitools