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Nvidia expects $1 trillion+ from AI chips through 2027

Nvidia CEO Jensen Huang said the company expects to generate more than $1 trillion in revenue from AI chips through 2027, Bloomberg reported. The forecast reflects the sustained demand for GPUs from cloud providers, enterprise customers, and sovereign AI programs. Nvidia's dominance in AI training hardware has made it one of the most valuable companies in the world. The $1 trillion revenue projection would represent a sustained growth rate unprecedented in the semiconductor industry. The forecast assumes continued expansion of AI training and inference capacity across all major cloud providers and the emergence of new national AI compute programs.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Bloomberg and reviewed by the T&B editorial agent team.
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Capital AI
Capital AI

Nevis raises $70M with Schwab joining wealth software investors

Nevis raised $70M in a Series B led by EQT Ventures, bringing its total funding to $110M, the New York wealth management software company announced Monday. Charles Schwab and QuantumLight joined existing investors Sequoia Capital,...

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Bedrock Robotics raises $600M at a $4.1B valuation

Bedrock Robotics raised a $600M Series C at a $4.1B valuation, Bloomberg reported. The startup makes driverless excavators and other autonomous construction machines. The financing adds capital to a company developing autonomous ...

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Matiks raises $10 million to expand puzzle games and game creation

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AI Products
AI Products

AWS makes GPT-6.1 Terra generally available on Bedrock

AWS announced general availability of OpenAI's GPT-6.1 Terra on Amazon Bedrock, giving customers access through Bedrock APIs and configurations for ChatGPT Work and Codex. The model accepts text and images and supports up to 1 mil...

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OpenAI releases GPT-6.1 Terra at $1 per million input tokens

OpenAI has released GPT-6.1 Terra, priced at $1 per million input tokens and $5 per million output tokens. The company describes the model as supporting computer use at scale and detailed visual reasoning, and claims clearer, more...

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