ChipsThe story, in brief

Nvidia Could Sell Twice as Many Chips Next Year — If Suppliers Can Keep Up

Nvidia expects to double chip shipments next year — but memory, manufacturing, and packaging could become the new AI bottleneck.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

The compute buildout is hitting new supply-chain constraints. As AI demand outpaces Nvidia's ability to manufacture and deliver, the bottleneck shifts from chip design to raw supply logistics — a material shift for anyone planning AI infrastructure deployment or capex.

The key facts

3 to know
  1. Nvidia CEO Jensen Huang projects 2x chip sales growth for next year

  2. Memory, manufacturing, and packaging identified as potential constraints

  3. Supply chain risk now explicitly limiting AI infrastructure buildout velocity

Go to the source

TechRepublictechrepublic.com

Publisher excerpt: Nvidia CEO Jensen Huang expects the company to sell twice as many chips next year, but memory, manufacturing and packaging could limit growth.
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The wider picture

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Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
Chips01

NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories

As AI compute density increases, power and cooling constraints are reshaping data-center buildout decisions. NVIDIA's qualification framework helps operators match infrastructure to workload architecture — a critical lever in the AI factory economics game.

NVIDIA Blog
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
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How BMW Group detects cost anomalies across 14,000 cloud accounts

BMW's serverless anomaly-detection pipeline illustrates how enterprises are automating cloud-cost governance at scale—a real use case for ML in the compute buildout that practitioners managing multi-cloud infrastructure should know about.

AWS Machine Learning Blog
Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
AI illustration by KeyNews
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US data centres ‘are short six NYCs of electricity’

AI's explosive compute demands have outpaced power grid capacity. Data-centre operators and their investors now face a physics problem, not just an economics one — and it will reshape where AI gets built.

Financial Times Technology