#CloudComputing

AWS announced P6e-GB200 UltraServers powered by NVIDIA's Grace Blackwell GPUs - these are massive servers designed for training trillion-parameter AI models The interesting part? They're only available in the Dallas Texas Local Zone What's a Local Zone? AWS Local Zones extend AWS services to more locations, bringing compute power closer to users for latency-sensitive applications like LLM inferencing 🔧 Why this matters for AI development: • Reduced latency for real-time AI applications • Massive computational power for training large models • Geographic proximity to your users and data 🎯 Perfect for developers working on: • Large language model training • AI inference applications • Latency-critical AI workloads 🔗 Learn more about Local Zones via link in bio Follow @awsdevelopers for more cloud content ————————— 🏷 #generativeAI #ArtificialIntelligence #MachineLearning #CloudComputing #Tech

Oracle has made a ton of headlines recently following their partial acquisition of TikTok and the Ellison family's aggressive push to acquire Warner Brothers, but if you think Oracle is just "the company that owns TikTok," you couldn't be more wrong. In today's installment of Money Maps, Gus breaks down Oracle's business model, detailing their revenue streams, customer base, and the business that gave them enough money to buy TikTok and sponsor stadiums in the first place. The real story is that they are essentially three businesses rolled up into one, and spoiler alert: social media ownership is not one of those businesses. Do you own any ORCL stock? Do you think that they can recover after suffering a big drawdown over the last few months, or is this the beginning of the end for the cloud giant? Let us know your thoughts in the comments! #TechStocks #SaaS #CloudComputing #StockMarket #OptionsTrading

Nuvem pública é incrível, mas será que colocar 100% da sua operação lá é a jogada mais inteligente? 🤔☁️ No vídeo de hoje, eu procuro desmistificar a ideia do “All-in” na nuvem. A verdade é que apostar tudo em um único lugar pode trazer riscos de segurança, compliance e custos inesperados para o seu time de TI apagar incêndio depois. 🔥🚒 O segredo? O Modelo Híbrido. ✅ Controle total sobre dados críticos (On-Premises). ✅ Flexibilidade para escalar (Nuvem Pública). ✅ Conformidade com a LGPD facilitada. ✅ Aproveitamento dos investimentos que você já fez. Nem muito ao céu, nem muito à terra. O equilíbrio é a chave para a eficiência. Quer descobrir como essa arquitetura se encaixa no seu negócio? #AMMSolutions #CloudComputing #NuvemHibrida #Tecnologia #Inovação TI SegurançaDaInformação IBM ParceiroIBM

RAM is quietly becoming one of the most contested resources in tech. As AI models grow larger and workloads run longer, memory demand is scaling faster than expected. What was once an afterthought is now a limiting factor — shaping performance, costs, and how quickly systems can evolve. This isn’t a temporary spike. It’s a structural shift In the AI era, memory sets the ceiling. Follow for more @dailyaiinformation #RAM #AI #ArtificialIntelligence #TechTrends #Semiconductors #Compute #DataCenters #CloudComputing #AIInfrastructure #Hardware #TechEconomy #FutureOfTech

💻 Want to drastically improve your chances of cracking Cloud Engineer interviews? 🌩️ Day 6 is all about coding and scripting—essential skills that you need to sharpen, even if you’re applying for entry-level roles. Here’s how to get started: 1️⃣ Set a timer for 30 minutes a day and work on coding problems—even if you don’t solve them right away, the practice will pay off. 2️⃣ Leverage coding platforms like @hackerrank or @codecademy 3️⃣ Explore Python’s capabilities (or any language of your choice) for automation and scripting within cloud environments. 4️⃣ Check out @udemy or @coursera for beginner-friendly Python courses. @kodekloud has lab enviornments that you can leverage. 5️⃣ Practice integrating scripts with cloud APIs to automate tasks. Play with AWS Lambda or Google Cloud Functions. 📌 Remember, consistency is key! The more you practice, the better and faster you’ll become at solving real-world problems in cloud environments. #CloudEngineer #CodingSkills #PythonForCloud #GoLang #TechWithKriti #CloudComputing #AutomationSkills #TechCareers #WomenInTech #LeetCode #HackerRank #LearnPython #CloudProjects #AWS #GoogleCloud #CloudAPI #DevOps #TechTok #techtokwithkriti

Se os serviços da AWS tivessem boca, você já teria levado uma bronca hoje? 🗣️🔥 A gente acha que Cloud é só alegria, mas imagina a paciência do EC2 com os Security Groups abertos e do S3 virando lixeira de log... Esse compilado é um aviso: trate bem sua infraestrutura, ou ela vai começar a responder (e não vai ser via ticket de suporte)! 😅 Qual desses serviços é o que mais sofre na sua mão? Comenta aí! 👇 #AWS #CloudComputing #techhumor

Google Cloud Revenue Surges 48% | Gemini AI Hits 650 Million Monthly Users #GoogleCloud #GeminiAI #SearchAI #AppleSiri #TechNews #AIUpdates #GoogleRevenue #MetaAI #CloudComputing #Technology

Data Lake vs Data Warehouse, the debate that never ends. Here's the truth: you don't pick one but build both. Data Lake catches everything raw — CSVs, JSONs, logs, images. No structure needed. Cheap. Flexible. Data scientists love it for ML pipelines. Data Warehouse stores the clean, structured version. Snowflake, BigQuery, Redshift — fast queries, dashboards that load in seconds. BI teams, finance executives, and analysts live here. Raw in, transformed out. That's your modern data pipeline. Follow @pvergadia for more cloud, AI, and data concepts broken down in 60 seconds. Save this and end it to someone still confused about the difference. [data lake, data warehouse, data lake vs data warehouse, data engineering, data pipeline, cloud computing, bigquery, snowflake, redshift, aws s3, azure data lake, ml pipeline, data architecture, bi tools, structured data, unstructured data, etl pipeline, data science, cloud architecture, tech explained] #datalake #datawarehouse #dataengineering #cloudcomputing #datapipeline

COMMENT “CLOUD” FOR FREE RESOURCES 👇🏼 My thoughts. #cybersecurity #cloudcomputing #informationtechnology security + exam questions Security + exam tips Security + exam certification study Devsecops Development security operations Devops Development operations Cloud engineer vs cybersecurity Cloud security engineer roadmap My first paycheck as a cloud engineer Cloud engineer paycheck Cloud engineer explained Cloud architect Cloud engineering Cybersecurity auditor GRC grc Cloud engineer Vs software engineer How to get into cybersecurity How much does cybersecurity pay My first paycheck as a cybersecurity engineer Home lab Basic home lab Basic it project Cloud it project Penetration tester How to hack Hacking APPT3143571

🌐 Cloud + IA: la revolución ya está aquí No es solo una opinión, es una megatendencia validada por los mejores analistas. La nube es el nuevo sistema nervioso central del mercado: almacenamiento y procesamiento casi infinitos, sin las barreras de antes. Y la inteligencia artificial es el cerebro que vive en esa red, analizando y tomando decisiones en tiempo real. ✨ Descubre cómo aprovechar esta revolución en nuestro canal de YouTube. 🚀 ¡Comenta, comparte y guarda este reel si crees en el futuro de la tecnología! #CloudComputing #InteligenciaArtificial #Inversiones #Megatendencia #WhaleAnalytics

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“Instagram has billions of photos. How can it instantly retrieve a picture from 2015?” #programming #systemdesign #cloudcomputing #tech Because the image and the information about the image are stored separately. This is called a Decoupled Storage Architecture. Step 1 — Blob Storage The actual image file is stored as a Blob (Binary Large Object) inside large-scale storage systems. These could be systems like: Distributed object stores Infrastructure similar to Haystack (Meta’s photo storage system) These systems are optimized for storing raw files efficiently. Step 2 — Metadata Database The information about the photo lives in a database: User ID Timestamp Photo ID Storage location Engagement data These records are stored in high-performance distributed databases such as Cassandra or PostgreSQL. Step 3 — Retrieval When you scroll your feed: Instagram queries the database for metadata The metadata contains the exact storage pointer to the image The image is fetched from the storage system A CDN delivers it from the nearest server This separation allows Instagram to scale to billions of photos without slowing down. At internet scale, systems separate: Data storage from data lookup Because the fastest systems know where the file is before fetching it. 🏷️ Tags [system design, distributed systems, backend engineering, scalable systems, database architecture, cloud storage, computer science, software engineering, tech infrastructure, programming]