As artificial intelligence continues to steamroll its way into every part of our lives, Nvidia Corp.’s GPU Technology Conference events have grown in importance, and this week’s fall installment in Washington, D.C. provided the customary showcase of how and what is possible.

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Nvidia GTC DC: The rise of AI factories and a push for US leadership

Veeam Software Group GmbH today announced a definitive agreement to acquire Securiti Inc. for $1.725 billion, by far the largest purchase made by the company to date. Though Veeam has made many acquisitions under the tenure of Chief Executive Anand Eswaran (pictured), this is the first in the security market. As a data protection company, Veeam can be thought of as “security-adjacent,” but now squarely enters the artificial intelligence cybersecurity race.

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Veeam to acquire Securiti for $1.7B+ to accelerate safe AI at scale

At IBM Corp.‘s TechXchange 2025 event last week in Orlando, Florida, artificial intelligence was the primary theme, as it is at every event today. But the messaging and announcements from this conference were about getting customers over the hump and moving AI from vision to adoption.

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IBM TechXchange 2025 was all about navigating the AI revolution

It seems every day there’s a new announcement regarding an economic event with artificial intelligence. Recently, Nvidia Corp. made an investment in OpenAI and then OpenAI turned around and took a stake in Advanced Micro Devices Inc. Then there was the $6.3 billion deal between CoreWeave Inc. and Nvidia. Why so much activity?

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The $500M blueprint: How QumulusAI and USD.AI are forging a new financial model for the AI neocloud

As Nvidia Corp. announced new robotics innovations at last week’s Conference on Robot Learning in South Korea, the company continues to extend its product line with new capabilities and enhancements. Nvidia announcements at CoRL included: The Isaac GR00T N1.6 open foundation reasoning vision language action model that provides robots with humanlike reasoning to break down complex instructions and execute tasks using prior knowledge and common sense.

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With new open models and simulation libraries, Nvidia aims to accelerate robotics R&D