358.5K
WDNo GPU? No problem.
Fine-tune or experiment with AI Models directly on Google’s cloud GPU - inside VS Code.
Comment “GPU” and I’ll DM you the link.
#aiengineering #machinelearning #llm #finetuning #python
@wdf_ai
#Cloud Computing Service Models
世界中の人々によるCloud Computing Service Modelsに関する件のリール動画を視聴。
ログインせずに匿名で視聴。
関連検索
24トレンドリール
(12)
123.0K
EMComment “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.
@emrcodes
8.3K
PRCloud Computing Models Explained (with Car Analogy)
IaaS (Infrastructure as a Service) - Owning a Car
What: You rent the basic infrastructure (servers, storage, etc.).
Analogy: You buy a car.
You Manage: Everything-driving, fuel, repairs, insurance.
Cloud Example: AWS EC2, Microsoft Azure VMs.
Who is it for?: Teams who want full control over their environment.
PaaS (Platform as a Service) - Leasing a Car
What: You rent a ready-made platform to develop and deploy applications.
Analogy: You lease a car.
You Manage: Just the driving (your app); the provider handles maintenance, upgrades, etc.
Cloud Example: Google App Engine, Heroku.
Who is it for?: Developers who want to focus on code, not server management.
SaaS (Software as a Service) - Taking a Taxi
What: You use a ready-made application delivered over the internet.
Analogy: You take a taxi.
You Manage: Nothing about the car; just your ride (using the app).
Cloud Example: Gmail, Zoom, Salesforce.
Who is it for?: Users who just want to use software without worrying about infrastructure or development.
In essence:
laaS: Full control, full responsibility.
PaaS: Build & deploy quickly, no server headaches.
SaaS: Just use, no maintenance.
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Follow for more 👉
@pre_placement_preparations
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#development #developer #tech #technology #softwaredeveloper #softwareengineering #softwaredevelopment #softwareengineer #computerscience #fullstackdeveloper #devops #devopsengineer #technical #computerengineering #computerscienceengineering #programmer #programming #coder #coding #interviewquestions
@pre_placement_preparations
204.1K
TOYesterday I visited one of the biggest data centers in Europe! 🌍
Microsoft’s Dublin data center powers cloud services and AI services for businesses, governments and organisations across Ireland, the UK and much of Northern Europe.
Hyperscale data centers like this one can host tens of thousands, and sometimes even hundreds of thousands of servers!
What I found insane wasn’t actually the number of servers, it was the huge amount of infrastructure (power, cooling, etc) that helps to keep this data center running.
Thanks to @microsoft for inviting me on the tour! ❤️
@tom.developer
5.0K
SHComment "CLOUDE" and I'll send it over 🔗
@sharmadhruveshh
54.5K
TETop 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
@techtokwithkriti
119.3K
ALTypes of Cloud
IaaS, PaaS, serverless, and SaaS are all cloud computing service models that offer different levels of abstraction from the underlying infrastructure.
Infrastructure as a Service (IaaS) provides access to virtualized compute, storage, and networking resources. This is the most basic cloud service model, and it gives you the most control over your infrastructure.
Platform as a Service (PaaS) provides a development environment that includes pre-configured tools and services. This makes it easier to develop and deploy applications without having to worry about the underlying infrastructure.
Serverless computing is a newer cloud service model that allows you to run code without having to manage servers. This is the most hands-off cloud service model, and it can be a good choice for applications that are event-driven or have unpredictable traffic patterns.
Software as a Service (SaaS) provides access to ready-made applications that are hosted in the cloud. This is the most convenient cloud service model, and it can be a good choice for applications that do not require customization.
Here are some examples of each cloud service model:
IaaS: Amazon Web Services (AWS) Elastic Compute Cloud (EC2), Microsoft Azure Virtual Machines (VMs), Google Cloud Platform (GCP) Compute Engine
PaaS: AWS Elastic Beanstalk, Microsoft Azure App Service, Google App Engine
Serverless computing: AWS Lambda, Azure Functions, Google Cloud Functions
SaaS: Salesforce, Microsoft Office 365, Google G Suite
#devops #devopsengineer #aws #developer #programming #git #github #freshers #softwareengineer #softwaredeveloper #coding #cloudcomputing #udemy #dns #networking #docker #kubernetes
@alden.social
47.1K
VIAI 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.
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👋 Hi, I’m Viktoria, Principal AI Evangelist at Databricks. I make complex AI accessible. Follow for more!
#AIExplained #NeoCloud #AIFactory #CloudComputing #LearnAI
@viktoria.semaan
379.0K
TEI wouldn't want to be in their shoes rn... Comment WEBSITE for the full walkthrough
@tenfoldmarc
16.2K
HODid you know that by 2026, the cloud computing market is forecasted to be worth $947.3 billion?! AD
Modern life is becoming increasingly reliant on the work of data centres; from accessing files in the cloud to using your home monitoring system to using social media, data centres have become crucial to powering what we do.
This means there is an increasing demand for cloud computing-related roles and a need for people with the right skills to support the market!
That’s why I was super excited to spend the day with @hereataws , learning about their data centers, which power their cloud services, and the important people who work with them every day!
From Data Center Engineering Operatives to Environmental Program Managers, there are so many interesting roles related to data centers - I loved hearing all the important work these guys do and all the benefits of working at AWS!
If you’re interested in a data center role or want to learn more then make sure you click the link in bio to find out more information and apply today🚀
@hosannahali
9.5K
VIThese three daals look the same, but they’re so different.
So are these roles - DevOps, SRE, and Platform Engineering 🤯
DevOps = Moong Dal → fast, quick to ship features
SRE = Toor Dal → steady, reliable, keeps systems healthy
Platform Eng = Chana Dal → setup takes time, but makes everything smooth
Three roles. Three skills paths. All high-demand in Cloud.
Save this for later & share with a friend learning Cloud!
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#cloudcomputing #techjobs #career #devops #engineer
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[cloud engineer, cloud computing, devops engineer, site reliability engineer, sre, platform engineer, kubernetes, git, linux, aws, gcp, azure, ci cd pipeline, terraform, cloud architect, tech career, cloud career, coding, programming]
@vishakha.sadhwani
30.4K
ARRun AI models locally on your PC 😱💻 No cloud needed
@aru_code
✨ #Cloud Computing Service Models発見ガイド
Instagramには#Cloud Computing Service Modelsの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
Instagramの膨大な#Cloud Computing Service Modelsコレクションには、今日最も魅力的な動画が掲載されています。@tenfoldmarc, @wdf_ai and @tom.developerや他のクリエイティブなプロデューサーからのコンテンツは、世界中でthousands of件の投稿に達しました。
#Cloud Computing Service Modelsで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @tenfoldmarc, @wdf_ai, @tom.developerなどがコミュニティをリード
#Cloud Computing Service Modelsについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Cloud Computing Service Modelsのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均266.2K回の再生（平均の2.4倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
💡 トップコンテンツは10K以上再生回数を獲得 - 最初の3秒に集中
✨ 多くの認証済みクリエイターが活動中（67%） - コンテンツスタイルを研究
📹 #Cloud Computing Service Modelsには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長823文字
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