Nlink Tech

AI infrastructure is becoming the next big battleground. ⚡

Nscale is reportedly looking to raise $3.5B in pre-IPO financing, with a potential valuation of up to $30B.

That’s a big signal of where the AI market is heading: the race isn’t just about building smarter models anymore.

It’s about having enough compute, infrastructure, and capacity to run them at scale.

And with NVIDIA potentially involved, this could become an even more interesting story to watch.

AI needs brains. But those brains need serious infrastructure to run. 🤖

✨ This Janmashtami, let’s celebrate the wisdom that continues to inspire generations.

May Lord Krishna bless us with the courage to face challenges, the wisdom to make the right choices, and the positivity to keep moving forward.

Wishing everyone a joyful and blessed Janmashtami! 🦚🙏

He's 16. He's in class 12. And he's already building an AI company.

Raul John Aju has reportedly built 15+ AI tools, leads a team of around 15 people, and has trained over 1 lakh people in AI through his programs and initiatives.

And one detail stands out:
His company reportedly pays his father ₹2 lakh a month.

While most teenagers are figuring out what they want to do after school, Raul is already building, teaching, and running a business around AI.

The AI generation isn't coming.

It’s already here. 🚀

What would you build if you started learning AI seriously today? 👇

Most people are learning AI backwards. 👀

They’re learning how to use ChatGPT.

But what happens when simply prompting AI isn’t enough anymore?

The valuable skills are moving deeper:
→ AI Agents that complete tasks
→ Workflow Automation that runs without you
→ RAG that works with your own data
→ Multimodal AI across text, images, audio & code
→ AI Tool Stacking that connects your entire workflow
→ LLM Management for cost, accuracy & performance
→ AEO/GEO to make your brand visible in AI-generated answers

The interesting part?

You don’t need to master all of them.

But ignoring them while AI evolves this fast could become expensive.

So the real question isn't
“How good are you at using AI?”

It's
“How much of your work can you actually build around AI?”

Which skill are you learning next? 👇

What if almost everything around us could talk to the internet? 🌐

We’re getting closer.

From 69,000 smart water meters and battery-free IoT sensors to Android 16-powered devices and 197.7M projected satellite IoT connections, the IoT landscape is changing fast.

And this isn’t just about gadgets.

It’s about smarter cities, connected vehicles, industrial automation, remote monitoring, and infrastructure that can actually “see” what’s happening.

The interesting part?

These are no longer futuristic ideas. They’re already being deployed.

Swipe through → to see IoT developments worth watching.

Which one do you think will have the biggest impact?

Some bonds don’t need Wi-Fi. They’re always connected. ❤️

This Raksha Bandhan, celebrate the bond that has stayed strong through every phase of life the kind of connection no technology can ever replace.

Wishing you and your loved ones a very Happy Raksha Bandhan! 🪢

What if future AI data centers need food, not just electricity? 🧠

Singapore is already testing it.

NUS Medicine, DayOne and Cortical Labs have deployed a 20-unit biological computing rack using living human neurons.

Around 16 million neurons across the system reportedly consume just 800–1,000 watts.

It’s not replacing GPUs yet. But it raises a fascinating question:

Could living neurons become part of future AI infrastructure?

The next data center might need a power supply… and a nutrient supply. 👀

AI news is moving way too fast.

Here are 7 updates worth knowing this week. 👀

From Trump buying SpaceX shares and Hugging Face reportedly exploring a $13B acquisition to Anthropic’s AI safety concerns, micro1 hitting a $500M run rate, and Ramp.

A lot is happening across the AI and tech landscape:
→ AI startups and funding
→ AI acquisitions
→ AI model safety
→ AI training data
→ AI assistants
→ AI search
→ AI infrastructure

Which one do you think will have the biggest impact on the AI industry?