<div id="readability-page-1"><div id="blog-content"><img height="281" src="https://imageproxy.pbkrs.com/https://cdn.pixabay.com/photo/2016/02/15/12/05/nvidia-1201077_960_720.jpg?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="500" original-src="https://imageproxy.pbkrs.com/https://cdn.pixabay.com/photo/2016/02/15/12/05/nvidia-1201077_960_720.jpg"/>Image Source: Pixabay Nvidia (NVDA) dropped $20 billion to acquire Groq, an artificial intelligence startup that’s been eating into Nvidia’s dominance in a crucial part of the AI market, a CNBC report said on Wednesday.It’s the chipmaker’s biggest deal ever, and it sends a clear message: Nvidia wants to control not just how AI models get trained, but how they actually get used by customers and companies.The move is a bold consolidation play in an increasingly crowded AI chip market, which can reshape how enterprises buy and deploy artificial intelligence.​<h3> What Groq does and why Nvidia needs it </h3>Here’s the simple version: Nvidia has owned the market for training AI models, that’s the expensive, compute-heavy part, where you teach an AI system to do something useful.Groq’s specialty is different. It focuses on inference, which is basically running that trained AI in real time.Think of it like this: Nvidia built the kitchen where AI gets cooked; Groq built the restaurant where it gets served to customers.Groq’s pitch is compelling. Its chips run AI workloads about four times faster than Nvidia GPUs while using far less power and costing way less to operate.That matters enormously at scale. A company running millions of customer requests through ChatGPT-like systems every day would love a cheaper, faster way to do it.Groq’s already proven this works; it’s got over a million developers using its GroqCloud platform, and major customers, including Meta, are already running inference workloads on its hardware.The startup raised $750 million just three months ago at a $6.9 billion valuation, so the $20 billion price tag shows how aggressively Nvidia wanted to lock this down.​<h3> What this consolidation means </h3>Nvidia just got bigger and more monopolistic. The company already controls about 90% of the market for AI training chips.Now it’s adding a credible inference alternative and folding Groq’s technology into its ecosystem.That’s powerful because customers often prefer buying from one vendor instead of stitching together parts from multiple suppliers.It’s simpler, it’s cheaper to support, and Nvidia has proven it knows how to play this game.But consolidation has a downside. The Federal Trade Commission is already watching Nvidia closely.Buying Groq could trigger antitrust concerns at a time when Washington is scrutinising Big Tech harder than ever.Regulators will almost certainly take a close look at whether this deal reduces choice for customers like Amazon, Google, and Microsoft, which are desperate to reduce their Nvidia dependence anyway.​For other AI chip startups, this is a warning shot. Companies like Cerebras, SambaNova, and Graphcore were betting they could challenge Nvidia in specific niches.Now Nvidia’s message is clear: we will buy the best threats and eliminate the rest.<hr/>More By This Author:Tesla Finds Stability In Energy As Rivian Tests Key Resistance Levels Nvidia Stock Plunges After Intel’s 18A Move: What Does It Mean For AI Chips? Ethereum Price Prediction As ETH Forms Alarming Patterns</div></div>

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Nvidia is acquiring AI chip startup Groq for $20 billion, marking its largest deal ever. This acquisition aims to strengthen Nvidia's position in the AI market by adding Groq's inference technology to its ecosystem. Groq's chips offer faster, cheaper AI workloads, appealing to companies like Meta. The deal may face antitrust scrutiny as Nvidia expands its dominance in AI chips, potentially reducing customer choice.

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Nvidia To Buy AI Chip Startup Groq In $20 Billion Blockbuster Deal