#Rctech Cloud

#geoengineering #weathermanipulation #cloudseeding #weathermodification #stratosphericaerosolinjection #chemtrails or #contrails #clouds and #climatchange ?!?🤷🏽‍♂️🫥 Disclaimer: this video is for entertainment purposes only and not to be taken as fact.

#cloudseeding #chatgpt #weathermanipulation #wolkenimpfung #silberjodid

💻🌥️ SkyBots, le cloud des devs pressés Les devs quand ils vous disent “non mais c’est simple, faut juste déployer sur un VPS avec Docker, Nginx et 12 fichiers de config”… Moi j’ai trouvé une solution plus simple : SkyBots. Un hébergement pour bots, sites et apps gratuit, simple, rapide, et surtout sans prise de tête. Node, Python, Java, bots Discord, Uptime Kuma, n8n… tout tourne dessus. ⚠️ Petit rappel important : ➡️ Le service doit être renouvelé tous les 14 jours, même en version gratuite. 🔗 https://skybots.tech/fr Et comme d’hab… 👉 Pour la prochaine cible, mettez-la moi en commentaire. #développementweb #coding #apprendreacoder #humour #skybots

@cloudtechexec tell us about his journey becoming a cloud engineer. #computerscience #cloudengineer

Chem-trail all world. Cloud machine. juanbergman Ok! This is Crazy Part 1 . . . . . . Texas, Weather, Disney, Snow White, Ashton hall, America, Usa, Stitch. #allindia #allworld #worldwide

Are these real Clouds of Artificial created by Cloud Machine or Cloud Seeding? who is playing with GOD'S natural weather to modify it to tell you that it's a global warming? Your today's home work is to search topics 1. Cloud Machine 2. Cloud Seeding 3. Chemtrails Then, feel free to ask any questions. #viralreels #cloud #mustwatch #Foryou #cloudporn #cloudchaser #chemtrail #cloudmachine #cloudseeding #awarenessmatters #awarenessiskey #yasirrasool

Ufak bir ev yapımı cihazla bile bulut dağıtılıyor. Diğer bulutlar dağılmıyor sadece hedefteki bulut dağılıyor. Dolayısıyla burada doğal bir dağılma yoktur.

POV: Eres Sunset de Neuracat. Render que hice mientras aprendia cosas de nubes en Unreal Engine, donde recreo la escena del vuelo de Molly y Henry: Detectives de Neuracat de @knownshrimp POV: You are Sunset from Neuracat. A render I created while learning about clouds in Unreal Engine, recreating the scene of Molly and Henry Neuracat Detectives #unrealengine #neuracat #mollyyhenrydetectivesdeneuracat #3d #clouds #flight

NeoCloudz Has a New Look — And We’re Just Getting Started NeoCloudz, the fully owned AI cloud platform of DigiPower X, has officially been rebranded. New identity, same powerful infrastructure, and a clear vision for where we’re taking it next. Since launch, NeoCloudz has been an important part of DigiPower X’s strategy to build vertically integrated AI infrastructure — combining owned energy assets, high-performance data centers, and next-generation GPU compute under one platform. The new look reflects the maturity of NeoCloudz and the momentum we’re carrying into this next phase of growth. As demand for AI compute continues to accelerate, DigiPower X is focused on scaling capacity, expanding its NVIDIA Blackwell B200 and B300 GPU fleet, growing its customer base across enterprises, AI labs, and research teams, and strengthening the full-stack foundation that sets NeoCloudz apart. From low-carbon power generation to Tier III U.S. data center infrastructure, every layer is being built, operated, and optimized with one goal: delivering reliable, scalable, and efficient AI cloud solutions for the next generation of compute. This is more than a rebrand. It’s a signal of where DigiPower X is headed. Take a look at the new identity in action — and stay tuned for what’s coming next. Visit - https://www.neocloudz.com/ #neocloudz #digipowerx #dgxx #dgx #aicloud #gpucloud #gpuasaservice #aicompute #nvidia #blackwell #b200 #b300 #datacenters #tieriiidatacenter #digitalinfrastructure #aifactory #cloudinfrastructure #highperformancecomputing #hpc #enterpriseai #artificialintelligence #techstocks #investing #nasdaq #tsxv #miningdiscovery

Moving from a Jupyter notebook to production requires a real architecture. Here is the Google Cloud stack that scales. 👇 1️⃣ Containerize Everything Wrap your RAG application (Python logic, LangChain code) in a Docker container. Push it to Google Artifact Registry. No more dependency conflicts. 2️⃣ Cloud Run with Autoscaling Deploy that container to Cloud Run. It scales from 0 to 1,000 instances automatically. If 500 users ask about shipment tracking at 9 AM, Cloud Run spins up replicas in seconds and you only pay per request. 3️⃣ FastAPI + Async Don’t use Flask for LLM apps. Use FastAPI with async def. LLM calls are I/O bound (waiting for Vertex AI). Async lets your server handle other requests while waiting for the model to reply. 4️⃣ Database Choice Use Cloud SQL for PostgreSQL with the pgvector extension for your knowledge base. It handles relational data (user IDs, shipment records) and vector data (embeddings) in one place. Managed backups + high availability included. — Hi! My name is Abhishek and I work as an AI Engineer for a Google Cloud startup in Toronto.  If you want to certified as a Google Cloud Machine Learning Engineer, comment “AI” and I’ll send you a link in your DM. —- Keywords: #gcp #cloud #rag #llm #google #foryou #explore #home

Stop Paying for AWS Development Stop burning your budget on AWS testing just to see if your code actually works. This local cloud emulator lets you run cloud services directly on your machine without needing an expensive account or internet connection. By mocking core infrastructure, it gives you a fast and free environment to iterate on your applications instantly. You can test your deployments locally using a familiar interface while ensuring your logic is solid before pushing to production. It is a fantastic way to streamline your development workflow and keep costs at zero, so start building smarter and testing faster right on your laptop. Open source: faiscadev/fakecloud Spotted on Hacker News. Follow for more open source project drops. #opensource #github #programming #coding #buildinpublic #fakecloud #hackernews

Comment “CLOUD” ☁️ Get the CloudTrail vs CloudWatch Cheat-Sheet that includes: ✔ Real-life examples ✔ When to use which (no confusion) ✔ Real AWS scenarios ✔ Pricing explained simply ✔ 20+ interview questions & answers Saving won’t fix it 😅 This will.