126.0K
SAComment “AI” and I’ll send you the full breakdown.
This viral build uses two AI models to power a real time geospatial dashboard that looks like it belongs in a CIA ops room.
credit to @bilawal.ai
#ai #tech #gemini3 #claude
@sahni.ai
#Cloud Deployment Models
Schauen Sie sich Reels-Videos über Cloud Deployment Models von Menschen aus aller Welt an.
Anonym ansehen ohne Anmeldung.
Trending Reels
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50.7K
VIThe BEST PAID Jobs In Cloud💰🤑💸
Most people think “cloud” is just DevOps or basic infra. It’s not.
The real money is in roles that sit at the intersection of cloud, AI, security, and scale.
From engineers running LLMs in production, to SREs keeping massive platforms alive, to architects designing end-to-end AI systems, these jobs didn’t even exist a few years ago, and now companies can’t hire fast enough.
If you want roles that are future-proof, high-impact, and actually pay at the top of the market, these are the ones to watch.
I’ve broken down what they do, why they pay so much, and how to get there in a full-fledged video on my YouTube channel.
Comment “jobs” for the link.
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[high paying jobs, devops jobs, cloud jobs 2026, highest paying tech jobs, ai cloud engineer, llmops, sre, site reliability engineer, cloud security, cloud data engineer, ai ml architect, cloud careers, tech salaries, future tech jobs, tech career, high paying skills, upskill, growth, women in tech, big tech jobs]
@vishakha.sadhwani
28
NAWhat are the different deployment models in Cloud Computing?? #reels #viralvidoes #instagram #cloudcomputing #aws #azure #tech #security
@nayyablectures
0
741.0K
DRThis video features the founders of ToyStack AI pitching their streamlined cloud deployment platform. The team, comprising experienced engineers and an ex-investment banker, aims to solve the complexity and high costs associated with traditional cloud platforms like AWS.
They highlight that traditional deployments require expensive DevOps engineers, lengthy configuration times, and lead to high cloud bills. In contrast, ToyStack AI automates this entire process. By simply connecting application code to their platform, users can deploy to the cloud in a matter of minutes for a significantly lower, predictable cost (starting at $20/month). The founders also point out a common pitfall they address: developers often over-provision and overpay for cloud resources due to the “cognitive load” and optimism about future scale, a problem ToyStack AI helps mitigate.
@draper.core
4.0K
TETop 3 Cloud + AI Skills for getting hired in 2026
1️⃣ MLOps & Production AI Deployment: building, deploying, monitoring models
2️⃣ Cloud Security & Zero Trust: secure cloud system design & policies
3️⃣ Hybrid Cloud Architecture: AWS/GCP/Azure foundational design & services
👇 Comment “STACK” for full resource links!
@techtokwithkriti
123
GRFrom Code to Cloud! 🚀 Deployed my first AI Agent! 🤖
Finally, Track 1 is officially COMPLETE! ✅ Maine abhi-abhi apna functional AI Agent Google Cloud Run par deploy kiya hai using Gemini 1.5 Flash aur Google ADK.
Ek Computer Science student ke liye ye feel hi alag hai jab aapka banaya hua AI live link par response dene lage! 💻✨
What can my agent do?
🔹 Answer complex queries with ease.
🔹 Generate creative content & code.
🔹 Solve problems & brainstorm ideas.
🔹 Handle translations & sentiment analysis.
Special thanks to my mentor @haren_bhandari (Developer Advocate at Google) for the constant guidance. This journey from low-code to serverless deployment has been an absolute game-changer! 🏆
Next stop: Track 2 (BigQuery & Maps)! Let’s gooo! ⚡
#MyCodeVipassanaGroup #GenAI #GoogleCloud #Gemini #AIAgent CloudRun SoftwareEngineer GwaliorTech CodingLife BuildWithAI Hack2Skill DeveloperCommunity
@growwithanoop
698.0K
ITFollow and Comment "Learn" for hands-on cloud projects that will help you learn these fundamentals!
This is one potential way to architect a video streaming system but definitely not the only approach you could take.
You might use CDNs for global distribution but some companies build their own edge networks instead of relying on CloudFront or similar services.
Load balancing could be DNS-based, application-level, or even use service mesh architectures depending on your specific requirements and scale.
Adaptive bitrate streaming is pretty standard but the implementation varies. Some use DASH, others HLS, and the quality switching algorithms can be completely different.
The encoding pipeline could be real-time or batch processing. You might pre-encode everything or do just-in-time encoding based on demand patterns.
Authentication could happen at the edge, at API gateways, or through token-based systems depending on your security model and performance needs.
Analytics collection ranges from simple logging to complex real-time streaming pipelines feeding machine learning models for content recommendations 💻
Point is there's no single "correct" architecture - it depends on your constraints, scale, budget, and technical requirements.
#systemdesign #cloudcomputing
@itsnextwork
206.1K
MALet’s deploy a project together with GPU resources because your girl does not own a GPU!
Comment what is the hardest part for you about deployment - is it just getting started? Learning the basics? Optimizing costs? Hopefully we can do some more videos and make learning be simplified and fun 🤩 #cloudcomputing #gpu #nvidia #huggingface
@mar_antaya
106
CO🚀 Accelerate Your Cloud Journey with AI-Driven Innovation
Your business deserves a cloud strategy that is secure, scalable, and seamless. With CompuZign, organizations can confidently transform their IT infrastructure with AI-powered cloud migration and optimization.
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Transform complexity into opportunity and unlock the true power of the cloud.
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#CloudTransformation #AICloud #CloudMigration #MultiCloud #CloudSecurity #DigitalTransformation #ITInfrastructure #CompuZign #CloudInnovation
@compuzign_
313.2K
ASAlibaba Dropped AI That Doesn’t Need A GPU 😳🔥
For years, serious AI meant expensive GPUs and cloud servers.
Now Alibaba’s Qwen 3.5 small models are proving something different.
0.8B, 2B, 4B, 9B parameter models.
Multimodal.
Efficient.
Built for edge deployment.
You can now run capable LLMs on low-RAM laptops and even phones.
Lower inference cost.
Faster response times.
No massive GPU clusters required.
This is the real 2026 shift:
Smaller models. Smarter architecture. Real deployment.
AI isn’t just getting bigger.
It’s getting efficient.
If you're building AI agents, local tools, or cost-efficient AI startups, this matters.
Comment “qwen” and I’ll send the free link in DM.
#tech #computerscience #gpu #artificialintelligence #techtrends {gpu, no gpu ai, qwen ai, qwen 3.5, alibaba ai, china ai models, chinese llm, latest ai model, new ai release, small llm, lightweight ai, edge ai, on device ai, local llm, multimodal ai, open source ai, ai agents, generative ai, machine learning, artificial intelligence, ai developers, ai startups, llm models, efficient ai, low ram ai, mobile ai, ai innovation, tech news, future of ai, model deployment}
@askgpts
4.5K
WEAmazon Web Services (AWS) offers a comprehensive suite of on-demand cloud computing services—compute power, storage, databases, AI/ML, and more—enabling businesses to innovate faster, scale globally, and reduce costs. Whether you’re a startup or an enterprise, AWS Cloud delivers the tools you need to build secure, reliable, and high-performance applications.
Hashtags:
#AWS #AWSCloud #CloudComputing #CloudInfrastructure #Serverless #DevOps #AI #MachineLearning #BigData #CyberSecurity #DigitalTransformation #CloudArchitecture #TechInnovation #wemastersteam
@wemastersteam
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