NVIDIA RTX PRO Servers
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Industry Leaders Transform Enterprise Data Centers for the AI Era With NVIDIA RTX PRO Servers
Globenewswire· 2025-08-26 13:00
NVIDIA RTX PRO Server NVIDIA RTX PRO Servers — a new category of enterprise data center infrastructure powered by the RTX PRO 6000 Blackwell Server Edition GPU. News Summary: Leading companies including Disney, Foxconn, Hitachi Ltd., Hyundai Motor Group, Lilly, SAP and TSMC are among the first to adopt NVIDIA RTX PRO Servers to speed AI reasoning, physical AI and business workloads.Enterprises are adopting NVIDIA RTX PRO Servers to transition from general-purpose clusters to AI factory infrastructure, w ...
NVIDIA Opens Portals to World of Robotics With New Omniverse Libraries, Cosmos Physical AI Models and AI Computing Infrastructure
Globenewswire· 2025-08-11 15:01
Core Insights - NVIDIA has announced new Omniverse libraries and Cosmos world foundation models to enhance robotics development and deployment [1][11] - The integration of AI and computer graphics is set to revolutionize robotics, enabling the creation of advanced robots and autonomous vehicles [3][12] NVIDIA Omniverse Libraries - New software development kits (SDKs) and libraries are available for building industrial AI and robotics simulation applications [3] - Omniverse NuRec rendering is integrated into CARLA, a popular open-source simulator, enhancing synthetic data generation for autonomous vehicles [4] Adoption and Collaboration - Companies such as Boston Dynamics, Figure AI, and Amazon Devices & Services are adopting NVIDIA's Omniverse libraries to accelerate their AI robotics development [5] - Over 2 million downloads of Cosmos WFMs demonstrate significant interest in generating diverse training data for robots [6] Advances in Synthetic Data Generation - New models announced at SIGGRAPH improve the speed, accuracy, and control of synthetic data generation for robotics [6] - Cosmos Reason, a new vision language model, allows robots to reason and understand the physical world, enhancing their capabilities [8] AI Infrastructure - NVIDIA introduced AI infrastructure designed for demanding robotics workloads, including RTX PRO Blackwell Servers and DGX Cloud [10][12] - The infrastructure supports various development tasks, from training to simulation, across different platforms [13] Developer Ecosystem - NVIDIA is promoting the adoption of 3D and simulation technology through initiatives like OpenUSD Curriculum and Certification [17] - Collaboration with industry leaders aims to integrate advanced training frameworks into NVIDIA's robotics platforms [17]
NVIDIA RTX PRO Servers With Blackwell Coming to World's Most Popular Enterprise Systems
Globenewswire· 2025-08-11 15:00
Core Insights - NVIDIA announced the launch of the NVIDIA RTX PRO™ 6000 Blackwell Server Edition GPU, aimed at accelerating the transition from traditional CPU systems to advanced computing platforms in enterprise servers [1][4] - The new 2U mainstream servers will utilize the NVIDIA Blackwell architecture, enhancing performance and efficiency in data centers globally [2][3] Product Features - The RTX PRO Servers deliver up to 45 times better performance and 18 times higher energy efficiency compared to traditional CPU-only 2U systems, significantly reducing the cost of ownership [5] - These servers support a variety of enterprise workloads, including AI, content creation, data analytics, and scientific simulations, making them versatile for modern applications [9][10] Partnerships and Availability - Major global system partners such as Cisco, Dell Technologies, HPE, Lenovo, and Supermicro will offer the new 2U NVIDIA RTX PRO Servers in various configurations [3][16] - Customers can order RTX PRO Servers immediately, with configurations featuring eight RTX PRO 6000 GPUs available now, while the 2U mainstream servers are expected to be available later in the year [17] Technological Advancements - The RTX PRO Servers incorporate fifth-generation Tensor Cores and second-generation Transformer Engine, providing up to 6 times faster inference performance compared to the previous-generation NVIDIA L40S GPU [10] - The servers are designed for enterprise-grade scalability, supporting multi-user AI deployments through virtualization and NVIDIA Multi-Instance GPU technology [13][14] Industry Impact - NVIDIA's advancements are positioned to redefine computing architecture in on-premises data centers, marking a significant shift in enterprise operations driven by AI [4][19] - The introduction of the NVIDIA AI Data Platform will further enhance the capabilities of these servers, enabling enterprises to build modern storage systems for AI applications [7][9]
NVIDIA Builds World's First Industrial AI Cloud to Advance European Manufacturing
Globenewswire· 2025-06-11 10:23
Core Insights - NVIDIA is establishing the world's first industrial AI cloud in Germany to support European manufacturers, featuring 10,000 GPUs to enhance manufacturing applications [1][3][15] - Major European manufacturers like BMW Group, Maserati, Mercedes-Benz, and Schaeffler are adopting NVIDIA's technologies to transform their product lifecycles through AI-driven operations [2][10][12] Group 1: Industrial AI Cloud Development - The AI factory will utilize NVIDIA DGX B200 systems and NVIDIA RTX PRO Servers, running NVIDIA CUDA-X libraries and Omniverse-accelerated workloads [3][4] - This initiative aims to accelerate AI development and adoption in anticipation of AI gigafactories across Europe [5] Group 2: Partnerships and Software Integration - Siemens and NVIDIA are expanding their partnership to enhance industrial AI and digitalization, optimizing performance and productivity for various sectors [7] - Ansys is integrating Omniverse into its simulation software to improve fluid simulations, achieving a 2.5x acceleration in performance for Volvo Cars [8][9] Group 3: Manufacturer Innovations - Schaeffler is leveraging AI factories and NVIDIA's technology for digital factory planning and automation across its manufacturing plants [10][11] - BMW Group is creating digital twins of its production facilities to optimize manufacturing processes and develop AI applications [12][13]
NVIDIA RTX PRO Servers Speed Trillion-Dollar Enterprise IT Industry Transition to AI Factories
Globenewswire· 2025-05-19 04:07
Core Insights - NVIDIA is accelerating the transition to enterprise AI factories with its RTX PRO Servers and a validated design for building data centers that enhance AI, engineering, and business applications [1][4][18] - The NVIDIA Blackwell architecture is designed to improve performance and energy efficiency in data centers, facilitating the shift from CPU-based systems to GPU-accelerated infrastructure [2][6] - Major companies like Foxconn, Cadence, and Lilly are among the first to implement NVIDIA's AI factory design to enhance their operations [4][5] NVIDIA's AI Factory Initiative - The NVIDIA Enterprise AI Factory validated design allows partners to create on-premises infrastructure that includes RTX PRO Servers, Spectrum-X networking, BlueField DPUs, and AI Enterprise software [3][10] - This initiative aims to support a wide range of enterprise workloads, including AI inference, design, and engineering simulations [6][12] Industry Impact - Jensen Huang, CEO of NVIDIA, emphasized that AI is transforming industries, with every company expected to build or rent AI factories to enhance their operations [4] - Foxconn is leveraging NVIDIA's technology to advance its manufacturing processes and develop smarter electronics [5][6] Product Specifications - The RTX PRO 6000 Blackwell GPUs are designed to power AI factories and support demanding enterprise workloads across various applications [6][8] - NVIDIA RTX PRO Servers can accommodate up to eight GPUs and are equipped with advanced networking and storage solutions [7][12] Partner Ecosystem - Global system partners such as Cisco, Dell Technologies, and Lenovo are set to offer full-stack solutions featuring NVIDIA RTX PRO Servers and AI Enterprise software [12][14] - Consulting firms like Accenture and Deloitte are assisting enterprises in transitioning to NVIDIA-accelerated data centers [14]