NVIDIA GEFORCE NOW IS NOW LIVE IN INDIA 🇮🇳
You can now play high-end PC games on almost any device without buying an expensive gaming PC.
The game runs on NVIDIA's cloud servers and is streamed to your phone, laptop, tablet or TV. You just need a stable internet connection and supported games from your Steam, Epic Games Store or Xbox library.
Plans:
🟢 Free
- Free (Ad-supported)
- Up to 1080p, 60 FPS
- 1-hour gaming sessions
- 2,000+ games
- No priority queue
🟢 Performance
- ₹999/month or ₹399/day
- GeForce RTX
- Up to 1440p, 60 FPS
- 6-hour gaming sessions
- 4,500+ games
- RTX Ray Tracing, HDR10
- 100 hours premium playtime/month
- Priority queue
🟢 Ultimate
- ₹1,999/month or ₹799/day
- GeForce RTX 5080
- Up to 5K, 360 FPS
- 8-hour gaming sessions
- 4,500+ games
- DLSS 4 Multi-Frame Generation
- NVIDIA Reflex, Cloud G-Sync
- RTX Ray Tracing, HDR10
- 100 hours premium playtime/month
- First priority queue
This is important because gaming PCs and graphics cards are getting more expensive every year. GeForce NOW lets you enjoy AAA games on the hardware you already own instead of spending lakhs on a new gaming PC.
Would you pay for cloud gaming or still prefer buying your own gaming PC? 🎮
Someone built Kubernetes that runs entirely in your browser.
This might be the easiest way to learn Kubernetes.
- No Docker.
- No Minikube.
- No Kind.
- No EKS.
- No installation.
Just open a webpage and start exploring Pods, Deployments, ReplicaSets, Nodes, scheduling, networking, and more.
The engineering behind it is incredible.
Kubernetes is written in Go, but instead of compiling it to the browser, the developer rewrote major Kubernetes components in TypeScript so they could run natively inside the browser.
This is one of the best examples of using AI I've seen.
AI helped port thousands of lines of Kubernetes code, while the developer manually reviewed everything and validated it with extensive tests to make sure it behaves like a real cluster.
⚠️ It's not for running production workloads.
It's built for learning, teaching, experimenting, and preparing for DevOps interviews.
Imagine onboarding new engineers or teaching Kubernetes without asking everyone to spend an hour installing Docker, configuring Minikube, or creating an EKS cluster.
I genuinely think projects like this will change how we learn infrastructure.
Interactive labs > Static documentation.
Blog Post: https://t.co/57kzSGIkyb
@amuldotexe P.S. It's not just about tea pics 😂. I did a tremendous amount of self-reflection after joining your early Twitter Spaces. They also taught me a lot about career building, interviewing techniques, and personal growth. Thank you for sharing your experiences and insights.