Using the NVIDIA Enterprise AI Factory validated design, partners are building a new class of on-premises infrastructure — featuring RTX PRO Servers, NVIDIA Spectrum™-X Ethernet networking, NVIDIA BlueField® DPUs, NVIDIA-Certified Storage systems and NVIDIA AI Enterprise software — to accelerate product design and engineering simulation applications, as well as a quickly growing catalog of AI-enabled business systems and teams of digital AI agents. "AI is revolutionizing every industry — every company will build or rent AI factories to run their businesses and power the intelligence of their products,” said Jensen Huang, founder and CEO of NVIDIA.
Global IT Providers Offer Products, Software and Services to Accelerate Full-Stack AI Platform Shift With NVIDIA BlackwellTAIPEI, Taiwan, May 19, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced it is speeding the trillion-dollar IT infrastructure transition to enterprise AI factories with NVIDIA RTX PRO™ Servers and a new NVIDIA Enterprise AI Factory validated design for building data centers that deliver universal acceleration for AI, design, engineering and business applications.
For further information, contact:Pearlina BocNVIDIA Corporation+1-562-275-5781pboc@nvidia.com Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA’s products, services; NVIDIA’s collaborations with third parties and the benefits and impact thereof; third parties using or adopting our products and technologies, the benefits and impact thereof; AI revolutionizing every industry, from the way companies run to the products they make; and with its global partner ecosystem, NVIDIA helping enterprises infuse AI into their workforce, automate their factories and build AI-native products are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the "safe harbor” created by those sections and that are subject to risks and uncertainties that could cause results to be materially different than expectations.
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