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- 🚨 NVIDIA Drops $20B on GROQ!
🚨 NVIDIA Drops $20B on GROQ!
Biggest acquisition ever. 3x valuation in 90 days. NVIDIA just bought the fastest AI inference tech — and now owns the entire stack from training to production.
World of AI
December 24, 2025
In partnership with
What’s The News?
Nvidia just paid $20 billion for Groq's AI chip technology.
This is their biggest acquisition ever.
It's built for:
ultra-fast AI inference
real-time responses at scale
dominating the next phase of AI
Think:
chatbots that respond instantly
AI agents running 24/7
production workloads handling millions of users
This is Nvidia locking down the future.
ARTIFICIAL INTELLIGENCE
🌎 Where This Deal Sits in the AI Chip Market
NVIDIA CEO - Jensen Huang
Nvidia already owns AI training.
But inference? That's where the real competition is.
The $20B price tag tells you everything:
Groq was valued at $6.9B just 3 months ago
That's a 3x premium in 90 days
Nvidia paid up to avoid losing this tech to competitors
You don't overpay like that unless the strategic value is massive.
You pay to win the market before it's too late.
That's why this deal happened now.
Why GROQ?
What Nvidia Actually Gets
Groq Data Centres In Sydney, Australia
On the tech side, Groq brings serious advantages:
low-latency processors built for inference
on-chip SRAM architecture (faster than competitors)
technology that makes AI feel instant
non-exclusive licensing rights
The key point isn't that Groq had the fastest chip.
It's that Nvidia now controls both ends of AI infrastructure.
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Thinking
The Part Everyone's Missing
Jonathan Ross, CEO And Founder Of GROQ
Groq's cloud business isn't part of the deal.
It stays independent with a new CEO.
So what did Nvidia actually buy?
The technology, the team, and the IP.
Groq CEO Jonathan Ross and senior leaders are joining Nvidia.
The company continues operating separately.
This isn't an acquisition to kill a competitor.
It's an acquisition to own the architecture.
TOOLS
Flash vs. Pro (Training vs. Inference)
AI training → expensive, one-time, dominated by Nvidia already
AI inference → constant usage, massive scale, where the battle is
Nvidia isn't abandoning training GPUs.
They're securing the inference layer.
The Bigger Signal
This deal says everything about where AI infrastructure is headed.
Not every company can build their own chips.
Most real-world deployments need:
fast, scalable, cost-effective inference — running 24/7
Nvidia is betting that owning inference technology is more valuable than selling GPUs alone.
Nvidia's $20B Groq deal isn't about hype.
It's about controlling the entire AI stack — from training to production.
And that's exactly why it matters.
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