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Nvidia rides the AI wave to become the world’s most valuable public company

Network World

Nvidia has surpassed Microsoft to become the most valuable company in the world highlighting the transformative impact of artificial intelligence (AI) on the tech industry. The company’s early recognition of AI’s potential allowed it to optimize its GPUs for AI applications, securing around 70% of the AI chip market.”

Company 418
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Nvidia enhances OpenUSD to drive wider industry adoption

Network World

The updates include NIM microservices for AI models that can generate OpenUSD language to answer user queries, produce OpenUSD Python code, apply materials to 3D objects, and understand 3D space and physics to accelerate digital twin development.

Industry 397
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DAM Is A Key Ingredient For Your Digital Experience Delivery

Forrester IT

As companies look to deliver more personalized, engaging (and lower-cost!) experiences on their digital channels using assets like video or even 3D renderings, an increasing number have turned to digital asset management (DAM) to better manage the […].

3D 435
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Freedom to securely create and collaborate from anywhere

CIO Business Intelligence

A digital workspace is a secured, flexible technology framework that centralizes company assets (apps, data, desktops) for real-time remote access. Collaboration – Enable people and teams to work together in real-time by accessing the same desktop or application from virtually anywhere and avoiding large file downloads.

Security 245
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How Nvidia became a trillion-dollar company

CIO Business Intelligence

How Nvidia got here and where it’s going next sheds light on how the company has achieved that valuation, a story that owes a lot to the rising importance of specialty chips in business—and accelerating interest in the promise of generative AI.

Company 246
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Google Cloud Run now allows AI inferencing on Nvidia GPUs

Network World

Google Cloud has updated its managed compute service Cloud Run with a new feature that will allow enterprises to run their real-time AI inferencing applications serving large language models (LLMs) on Nvidia L4 GPUs. For example, time required by the LLM to reply to a user query via an enterprise application. But are there caveats?

Google 453
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Adobe’s Artificial Intelligence And 3D Offerings Drive Creative Efficiency And Scalable Experiences

Forrester IT

At Adobe’s annual MAX creativity conference, the company made multiple announcements across its Creative Cloud portfolio that are designed to create incremental improvements to creative processes. When you scale this across hundreds of creators and thousands of tasks, the improvements add up.