Latest news with #EnterpriseAI
Yahoo
6 days ago
- Business
- Yahoo
Cordoniq Winner of 2025 Globee Disruptor Awards for Enterprise AI Integration
Advanced multimodal AI integration for real-time business intelligence captures gold award SYRACUSE, N.Y., May 29, 2025--(BUSINESS WIRE)--Cordoniq, the secure, vision AI-driven platform for business processes and collaborations, announced today it is a gold winner of the 5th Annual 2025 Globee Awards for Disruptors for Enterprise AI Integration. Cordoniq was recognized for its advanced multimodal AI integration for real-time business intelligence. The Globee Awards leveraged a data-driven evaluation process involving over 1,000 experienced professionals and industry leaders from across the globe. This rigorous and transparent approach ensures that only the most deserving nominations are recognized. "We are humbled to be awarded gold in the Enterprise AI Integration category," said Allen Drennan, Co-Founder and CTO of Cordoniq. "This affirms our leadership position empowering businesses to process and utilize data intelligence in real-time, enabling highly responsive decision-making." Cordoniq helps businesses go to market faster with AI-branded product deployment by offering real-time conduits for multimodal AI applications. Cordoniq provides the foundation to seamlessly incorporate advanced AI tools into their daily workflows, allowing businesses to automate, analyze, and optimize collaboration at scale: Our integrations are agnostic to a variety of AI models, such as OpenAI ChatGPT, Google Gemini, Meta Llama, Alibaba Cloud's Qwen and feed input data from a variety of sources — video, audio, images, text, documents, web content and more. It inputs efficiently and bi-directionally, for highly scalable and engaging Human-AI interaction, with low latency. With our multimodal AI integration, companies can easily expand the reach of products or services with speed to market, by providing a secure, AI-driven user experience with real-time data. We provide companies and departments such as government entities, training companies, risk and compliance departments and more the ability to integrate the vision AI model generative output back into the user experience, for interactive and real-time data intelligence. About Cordoniq Cordoniq is a secure, vision AI-driven platform that empowers organizations by integrating multimodal AI into business processes and collaborations. By leveraging real-time analytics and AI-generated outputs, Cordoniq delivers interactive, cohesive live experiences that enhance user engagement and data intelligence. Cordoniq provides pre-developed frameworks to accelerate time-to-market while ensuring nimble and powerful AI integration — from training, collaboration, governance, risk and compliance sessions — as well as many other use cases. For more information, please visit or join the conversation at LinkedIn, Facebook, and X. View source version on Contacts Media contact:Brenda ChristensenStellar PR818/ Sign in to access your portfolio
Business Wire
7 days ago
- Business
- Business Wire
C3 AI and Baker Hughes Renew and Expand Joint Venture Agreement
REDWOOD CITY, Calif.--(BUSINESS WIRE)-- C3 AI (NYSE: AI), the Enterprise AI application software company, and Baker Hughes, an energy technology company, today announced a multi-year renewal and expansion of their joint venture agreement through June 2028. Under the terms of the agreement, C3 AI and Baker Hughes will continue to develop, deliver, and market Enterprise AI solutions to the oil and gas and chemical industries. Since establishing the joint venture in 2019, C3 AI and Baker Hughes have deployed Enterprise AI solutions to Shell, Eni, QatarEnergy LNG, Petronas, ExxonMobil, LyondellBasell, Flint Hills Resources, and more. For customers, these solutions have delivered efficiency and sustainability gains by optimizing production, reducing unplanned downtime, and enhancing operational visibility. C3 AI will also continue to deliver Enterprise AI solutions for internal use at Baker Hughes, who will expand deployments of C3 AI Sourcing Optimization, C3 AI Inventory Optimization, and the C3 AI Sustainability Suite. 'It's difficult to overestimate the importance of the Baker Hughes partnership to C3 AI and its shareholders,' said Thomas M. Siebel, Chairman and CEO, C3 AI. 'This alliance continues to bring us enormous credibility and market access in oil and gas globally. As a result, we have generated more than half a billion dollars in revenue from the O&G and chemical markets. We are most pleased to expand and extend this strategic partnership with Baker Hughes.' 'C3 AI continues to be an important strategic partner of Baker Hughes, supporting our digital transformation and enabling the delivery of Enterprise AI solutions to our customers to drive safer, more sustainable and more productive operations by leveraging the power of Enterprise AI across the energy and industrial value chain,' said Lorenzo Simonelli, Chairman and CEO, Baker Hughes. Since the initiation of this strategic agreement of 2019, C3 AI and Baker Hughes have renewed and amended this agreement four times. Under the renewal, the companies will increase market activities, continuing and expanding work across the energy and industrial sectors. About Inc. C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
Finextra
21-05-2025
- Business
- Finextra
Unlocking the Power of Enterprise AI for Business Success: By Mayuri Jain
In today's rapidly evolving digital landscape, businesses face an unprecedented wave of change, disruption, and opportunity. Companies across industries are increasingly challenged to not only keep pace with technology but also to harness its potential to drive meaningful growth and competitive advantage. At the forefront of this transformation is Enterprise AI, a groundbreaking technology that is reshaping how organizations make decisions, optimize operations, and engage with their customers. As you embark on the journey of integrating artificial intelligence into your business processes, it becomes vital to understand what Enterprise AI truly represents, how it can be implemented effectively, and why it matters so profoundly in the context of modern business strategy. Enterprise AI goes far beyond the simple automation of mundane tasks. It is the strategic incorporation of algorithms, machine learning, natural language processing, and predictive analytics into business operations. This fusion of advanced data processing with business intelligence allows organizations to glean actionable insights from mountains of data, streamline processes, and even predict future trends. When businesses harness the power of Enterprise AI, they empower themselves to make decisions that are not only data-driven but also agile and dynamic in response to an ever-shifting market landscape. Imagine a scenario where customer interactions, supply chain logistics, financial analytics, and market research are all optimized by sophisticated AI systems working tirelessly in the background. In such an environment, human analysts are not bogged down by repetitive tasks; instead, they are liberated to focus on strategic innovation and relationship building. By automating routine processes and uncovering hidden patterns in vast datasets, Enterprise AI acts as a catalyst for enhanced decision-making. For instance, AI-powered analytics can reveal consumer behavior trends that were previously overlooked, enabling companies to tailor their offers, forecast demand with greater accuracy, and preempt market shifts to stay one step ahead of competitors. At the core of Enterprise AI is the promise of enhanced decision-making. Decision-making in any business is inherently complex, influenced by the nuances of market trends, consumer sentiment, operational bottlenecks, and unforeseen risks. AI systems synthesize multiple streams of data—ranging from real-time market analytics to historical performance metrics—to offer insights that drive more informed, strategic decisions. When organizations leverage predictive analytics, they can forecast customer behavior, optimize inventory levels, and design more efficient supply chain logistics, all of which contribute to reducing operational costs and boosting revenue. In essence, Enterprise AI redefines the decision-making landscape by transforming raw data into valuable, actionable intelligence. Beyond improving decision accuracy, Enterprise AI significantly boosts efficiency and productivity. Automation is one of the most formidable advantages offered by AI integration. Routine tasks such as data entry, report generation, and even customer service can now be handled by intelligent systems. This shift not only reduces the risk of human error but also accelerates process turnaround times. For example, AI-powered chatbots can manage customer inquiries round the clock, ensuring that responses are both prompt and personalized. In the manufacturing sector, machine learning algorithms monitor equipment performance and predict maintenance requirements, thereby reducing downtime and extending the lifespan of critical machinery. The result is an operational environment where human talents are mobilized for creative and strategic pursuits while machines handle the repetitive, time-consuming functions. Customer experience is another domain where Enterprise AI makes a striking impact. In today's customer-centric market, personalization is not just a luxury—it is a necessity. AI systems analyze customer data to recognize nuanced behaviors and preferences. This deep understanding allows businesses to curate highly targeted product recommendations, craft individualized marketing campaigns, and even predict future buying patterns. A customer interacting with an AI-optimized system will experience a level of service that feels bespoke and attentive, thereby fostering trust and long-term loyalty. In an era where customer satisfaction can make or break a brand, harnessing the potential of Enterprise AI can be the defining factor between casual engagement and lifelong patronage. One of the most fascinating aspects of Enterprise AI lies in its extensive range of applications, each capable of transforming traditional business practices. Predictive analytics, for example, stands as a pillar of AI's practical utility. By mining historical data and identifying recurring trends, AI systems can project future outcomes with astonishing accuracy. This capability is invaluable not only in retail — where understanding seasonal buying patterns can optimize stock levels — but across industries such as finance, healthcare, and logistics, where risk management and resource allocation are paramount. By anticipating future market conditions and consumer demands, predictive analytics empowers businesses to act proactively rather than reactively. Another transformative application is Natural Language Processing (NLP), which equips machines with the capability to understand, interpret, and even generate human language. NLP powers an array of sophisticated applications—from sentiment analysis on social media to the development of interactive virtual assistants. For businesses, this means that a wealth of qualitative data from customer reviews, social channels, and support tickets can be processed and understood, enabling brands to fine-tune their messaging and address customer concerns with precision. An AI-enhanced understanding of language nuances even supports multilingual customer service, ensuring that global audiences receive the same level of tailored care and responsiveness. NLP's role in bridging the gap between human communication and machine processing is a game changer, propelling businesses into a future where communication flows seamlessly regardless of language or medium. Machine learning, the engine that powers much of Enterprise AI, deserves special attention. At its essence, machine learning is about the continuous improvement of algorithms as they are exposed to more data, refining their accuracy and relevancy over time. In practical terms, this means AI systems become more adept at fraud detection by learning from past transactions, fine-tuning recommendation engines based on customer behavior, or even optimizing energy consumption in industrial applications. The self-improving nature of machine learning implies that the benefits of AI integration only grow with time, as systems become more intelligent and responsive with every iteration and every byte of data processed. This transformative efficiency encapsulates a future where businesses are not only reactive to change but are also capable of anticipating and shaping market dynamics. However, the journey toward fully leveraging Enterprise AI is not without its challenges. The successful implementation of AI within an enterprise framework requires careful planning, selection of the right technology stack, and, importantly, a cultural shift within the organization. Companies must begin by defining clear objectives for their AI initiatives. Whether the goal is to enhance customer service, optimize logistical operations, or boost revenue through data-driven marketing, having well-defined targets is critical. Establishing these objectives ensures that the AI strategy aligns with the overall business vision and that resources are allocated efficiently, minimizing risks while maximizing potential returns. Investing in the right technology is equally vital to the success of AI integration. The modern market offers a plethora of AI tools and platforms, each with its unique strengths and capabilities. When selecting an AI solution, factors such as scalability, compatibility with existing systems, and the flexibility to handle a variety of data types become paramount. Collaborating with technology partners who bring both expertise and a proven track record in deploying Enterprise AI can ease the complexity of this transition. These partnerships allow companies to benefit from best practices, avoid costly pitfalls, and accelerate their journey towards harnessing AI's full potential. Moreover, the right technology investment paves the way for future innovations, ensuring that the organization remains agile and capable of adapting to emerging trends. Yet, technology and strategic planning alone are not sufficient. A fundamental requirement for successful AI integration lies in cultivating a data-driven culture. This transformation begins with a mindset that values insights derived from data over intuition alone. Employees across all levels must be equipped with the knowledge and tools to understand and utilize data effectively. Training programs designed to boost data literacy, along with initiatives that encourage cross-departmental collaboration, are essential. When a company internalizes the importance of data-driven decision-making, every part of the organization moves in concert toward common, measurable goals. This cultural evolution not only supports the integration of AI but also lays the groundwork for sustained innovation and competitive differentiation. Consider the journey of a retail enterprise that decided to transform its operations with the help of Enterprise AI. Initially burdened by inefficiencies in its supply chain and an inability to meet the fluctuating demands of its diverse customer base, the company embarked on an ambitious project to integrate predictive analytics and AI-powered customer service tools. By analyzing historical sales data alongside external factors such as seasonal trends and market sentiment, the company was able to forecast demand with unprecedented precision. This foresight allowed the enterprise to optimize inventory levels—reducing both overstock and stockouts—and to streamline its distribution network. Simultaneously, the introduction of AI-driven chatbots revolutionized the customer service experience. Customers no longer had to wait for traditional support channels; instead, they were greeted by intelligent systems capable of resolving inquiries promptly and accurately. The combination of these improvements led to tangible business success: operational costs dropped significantly, customer satisfaction scores soared, and the company enjoyed improved profitability in an increasingly competitive marketplace. In many ways, this retail transformation is emblematic of the broader potential of Enterprise AI. Industries ranging from finance and healthcare to manufacturing and logistics are tapping into the diverse applications of AI to reimagine their processes. Financial institutions, for instance, are deploying machine learning algorithms to detect fraudulent activities in real time, safeguarding assets and bolstering consumer trust. Healthcare providers are using predictive models not only to manage patient outcomes but also to optimize treatment plans, ensuring that care is both personalized and effective. In manufacturing, AI-driven maintenance scheduling minimizes downtime and extends the longevity of expensive machinery. Each of these examples underscores how Enterprise AI, when properly deployed, can be a potent engine of innovation and efficiency. Yet, while the benefits of Enterprise AI are numerous, organizations must remain mindful of potential challenges and ethical considerations. Data security, privacy concerns, and the overarching need for algorithmic transparency are all critical facets that demand attention. As businesses integrate AI into their core operations, safeguarding sensitive information and ensuring compliance with regulatory standards becomes more imperative than ever. Ethical AI practices must be woven into the fabric of every enterprise strategy—not only to protect stakeholders and build trust but also to ensure the long-term viability of AI systems as they evolve within increasingly complex digital environments. The future of Enterprise AI is continuously evolving. Advancements in computing power, the emergence of quantum computing research, and improvements in algorithmic efficiency promise to push the boundaries of what is currently possible. Organizations that view AI as a strategic necessity rather than a fleeting trend are positioning themselves at the cutting edge of technological innovation. They are investing in research and development, participating in cross-industry collaborations, and embracing a mindset that values continuous learning and adaptation. In this context, Enterprise AI is not just a tool but a critical component of a comprehensive growth strategy that will define the competitive landscape for years to come. For businesses ready to embrace the future, the steps ahead may seem daunting, but they are also filled with incredible potential. The integration of Enterprise AI calls for a multidisciplinary approach that combines technical expertise, sound business judgment, and a forward-thinking organizational culture. Leaders must champion the initiative from the top down, clearly communicating the vision and potential benefits to every employee. They should establish cross-functional teams that bridge the gap between data scientists, IT professionals, and business managers, ensuring the seamless integration of AI insights into everyday decision-making. Such collaboration is vital in crafting solutions that are not only technically sound but also aligned with the unique challenges and opportunities that define the organization. In today's hyper-competitive global market, agility is key to success. Enterprise AI levels the playing field for organizations of all sizes, offering the ability to scale operations, optimize resource allocation, and predict market fluctuations with pinpoint accuracy. This democratization of advanced analytics means that even mid-sized businesses can leverage insights previously reserved for larger, tech-savvy enterprises. With AI-powered algorithms at their disposal, these companies can rapidly respond to evolving market conditions, launch innovative products, and build deeper, more meaningful connections with their clientele. Essentially, Enterprise AI transforms data into a strategic asset—a trusted partner in navigating the intricate dynamics of modern business. As organizations continue to integrate Enterprise AI into their core operations, it is crucial to recognize that this is not a one-time project but an ongoing evolution. Successful AI adoption requires continuous monitoring, learning, and adaptation. Strategies must be periodically reassessed in light of emerging insights and technological advancements. Organizations that are agile enough to evolve their AI frameworks in tandem with new market realities will find themselves not only surviving but thriving in an era defined by rapid change. This dynamic approach to technology adoption ensures that the benefits of AI are maximized over time, transforming potential disruptions into opportunities for growth and innovation. Looking ahead, the convergence of AI, big data, and cloud computing is set to redefine traditional business processes further. The ability to process vast quantities of data in real time, powered by state-of-the-art AI systems, is already beginning to revolutionize industries. Amid this transformation, it is essential for businesses to view AI as an enabler—a sophisticated tool that augments human capability rather than replacing it. The optimal deployment of Enterprise AI lies in harnessing the strengths of both machine intelligence and human ingenuity. When AI is deployed with a focus on enhancing human potential, organizations can achieve a harmonious synergy where technology amplifies creative problem-solving, strategic thinking, and customer empathy. In conclusion, Enterprise AI represents a seismic shift in how businesses operate, strategize, and compete. Its ability to generate actionable insights, streamline operations, and deliver deeply personalized experiences marks it as an indispensable tool in today's digital economy. By adopting Enterprise AI, organizations move beyond the reactive practices of the past and step into a future where every decision is informed by robust, data-driven analysis. The journey may present challenges—from defining clear objectives and selecting the appropriate technology to nurturing a culture that values continuous learning. However, the rewards far outweigh the risks. Companies that successfully integrate Enterprise AI will find themselves better equipped to navigate market volatility, innovate continuously, and ultimately secure a lasting competitive edge. For leaders and decision-makers contemplating the next steps in their digital transformation journey, the message is clear: embrace Enterprise AI. Begin with a clear, strategically aligned vision. Invest wisely in technologies and partnerships that offer scalability and adaptability. And most importantly, foster an organizational culture that is agile, data-centric, and open to continual evolution. As AI continues to mature and expand into new realms of application, businesses that act decisively today will be the trailblazers of tomorrow—driving unparalleled growth and setting new benchmarks for success. The future of business is here, and it is powered by Enterprise AI. Whether you're optimizing your supply chain, elevating customer service, or redefining your marketing strategies, the promise of AI lies in converting complexity into clarity and data into decisive action. In this transformative era, every piece of data is a potential opportunity, every algorithm a partner in innovation, and every decision a step toward greater success. Now more than ever, it is time to unlock the full power of Enterprise AI for business success, forging a path that not only meets today's challenges but also anticipates the needs of tomorrow. Ultimately, the integration of Enterprise AI is not just about technology—it is about reimagining the very essence of business strategy. It is about building systems that learn, adapt, and evolve; about creating processes that are resilient, efficient, and innovative; and about forging deeper, more meaningful relationships with customers, employees, and partners alike. By embracing this transformative technology, businesses are not merely keeping up with the times—they are setting the pace for the future of commerce. The era of Enterprise AI is upon us, and those who harness its power will lead the way into a new age of digital prosperity. In embracing this new paradigm, companies are invited to transform everyday challenges into opportunities for radical innovation and growth. The transformation begins with a commitment to continuous improvement, a willingness to invest in cutting-edge technology, and the foresight to recognize that the future of business is intrinsically linked to artificial intelligence. As you consider the possibilities that Enterprise AI offers, take a moment to envision a future where your organization is more agile, your strategies more refined, and every decision optimized through deep insights from advanced analytics. Such a future is not only attainable but also within your grasp if you are prepared to make the commitment today. There is no doubt that Enterprise AI is reshaping industries around the world. Its applications are as diverse as they are powerful, providing solutions that are customized to meet the unique challenges of various sectors. In this landscape, early adopters enjoy the dual benefits of operational excellence and market differentiation. As you explore the transformative potential of Enterprise AI, you may find that the journey itself is a catalyst for change—stimulating innovation, enhancing collaboration, and ultimately leading to a more robust, resilient organization. The promise of Enterprise AI is immense, and its practical impact on efficiency, decision-making, customer engagement, and overall competitiveness is unmistakable. As you navigate the complexities of digital transformation, remember that each step taken towards integrating AI is a step towards a more informed, agile, and forward-thinking enterprise. Embrace the power, embrace the future, and unlock the unparalleled potential of Enterprise AI to drive your business success into a new era of innovation and growth. By committing to this transformative vision today, you not only secure a competitive edge for your organization but also contribute to the broader evolution of a business landscape that is defined by intelligence, innovation, and boundless opportunity. Let the adventure into the realm of Enterprise AI be the cornerstone upon which you build a future marked by exceptional performance, strategic brilliance, and lasting success.
Malay Mail
19-05-2025
- Business
- Malay Mail
Trend Micro Offers Enterprise AI Security Platform Across Data in Cloud or on Premises
AI security solution integrated with NVIDIA Enterprise AI Factory validated design 100% data sovereignty with on-premises deployment options for air-gapped environments Pre-integrated hardware, software, support, and deployment services Threat detection intelligence built with NVIDIA AI software and accelerated computing for real-time security analysis Comprehensive protection across email, cloud, network, endpoint, data, and identity Simplified procurement and deployment, accelerating time-to-value HONG KONG SAR - Media OutReach Newswire - 19 May 2025 - Trend Micro Incorporated TSE: 4704 ), a global cybersecurity leader, today announced its bringing powerful and simplified security capabilities to NVIDIA Enterprise AI Factory validated design, helping organizations worldwide safely transform their business with next-gen AI infrastructure."AI is being unleashed worldwide, changing the way we work and innovate. But it comes with new security challenges, and the infrastructure required is already highly complex. Trend is leading the industry in simplifying and securing this new environment, and we are doing so with customers at all stages of their AI journey."Justin Boitano, vice president, Enterprise AI Products"As AI becomes integral to enterprise operations, organizations require security that matches the speed and complexity of AI factories. Together, Trend Micro and NVIDIA are delivering an integrated platform that empowers organizations to confidently deploy AI while protecting data across on-premises and hybrid cloud environments."Trend Vision One™ is the leading platform in the industry that can seamlessly provide a single set of security rules across on-premises, hybrid, and cloud infrastructure. Trend is prepared to meet security needs in any environment worldwide. As a growing number of enterprises continue shifting towards proprietary AI infrastructure , a security solution that can support any stage of transformation is critical."Data centers are at the heart of sovereign AI ecosystems. Organizations training AI models with their data need to make sure that sensitive data and workloads remain in the country when digital sovereignty constraints demand it. Organizations, cloud vendors, hyperscalers, and service providers constitute an ecosystem that requires a combination of sovereign data centers, sovereign AI solutions, and sovereign workforces."*Trend Micro and NVIDIA have collaborated to deliver an agentic AI-powered security solution as part of the NVIDIA Enterprise AI Factory validated design, addressing the needs of security-conscious enterprises in government, healthcare, financial sectors and more. The collaboration brings together Trend Vision One™ for Sovereign Private Cloud (SPC), NVIDIA NIM microservices, NVIDIA NeMo , and NVIDIA Morpheus cybersecurity AI framework to create a pre-validated solution for organizations requiring complete data jurisdiction. This integrated offering ensures sensitive data remains on sovereign soil while enabling powerful AI benefits include:For enterprises building their own GenAI implementations, this solution delivers the security, performance, and compliance needed to confidently deploy AI while maintaining complete control over sensitive data. The collaboration eliminates "DIY security" challenges, providing a clear starting point that remains fully customizable to each organization's unique remains committed to leading the charge for proactive security across the globe. With unmatched intelligence gathering capabilities and the largest vendor-agnostic bug bounty program in the world, Trend continues to discover, understand, and inform the industry about the evolving digital landscape. Trend is staying ahead through events like Pwn2Own Berlin , which highlight the growing importance of understanding and securing #trendmicro #trendvisionone #visionone #cybersecurity #trendcybertron #cybertron #AISecurity #Nvidia The issuer is solely responsible for the content of this announcement. Trend Micro Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information. Fueled by decades of security expertise, global threat research, and continuous innovation, Trend Micro's cybersecurity platform protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints. As a leader in cloud and enterprise cybersecurity, the platform delivers a powerful range of advanced threat defense techniques optimized for environments like AWS, Microsoft, and Google, and central visibility for better, faster detection and response. With 7,000 employees across 65 countries, Trend Micro enables organizations to simplify and secure their connected world.
Yahoo
19-05-2025
- Business
- Yahoo
NVIDIA RTX PRO Servers Speed Trillion-Dollar Enterprise IT Industry Transition to AI Factories
Global IT Providers Offer Products, Software and Services to Accelerate Full-Stack AI Platform Shift With NVIDIA Blackwell NVIDIA RTX PRO Server TAIPEI, 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. Built with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, RTX PRO Servers extend the leading performance and energy efficiency of the NVIDIA Blackwell architecture to data centers that can run virtually every enterprise workload — driving the shift from CPU-based systems to efficient GPU-accelerated infrastructure. 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. 'With our global partner ecosystem, we're helping enterprises infuse AI into their workforce, automate their factories and build AI-native products.' Industry Leaders Drive Innovation With NVIDIA AI FactoriesThe NVIDIA Blackwell architecture enables enterprises to unlock the full potential of AI in their data center infrastructure. Cadence, Foxconn and Lilly are among the first planning to build AI factories using the NVIDIA Enterprise AI Factory validated design with RTX PRO Servers to advance their operations. Foxconn is building an AI factory to advance global semiconductor and electronics manufacturing with NVIDIA-accelerated IT infrastructure, as well as its smart electric vehicles, factory digital twins, healthcare and robotics applications. 'Foxconn is harnessing the performance of NVIDIA Blackwell to build AI infrastructure that will transform every facet of electronics manufacturing,' said Young Liu, chairman of Foxconn. 'Through our close collaboration with NVIDIA, we will accelerate the integration of AI across our global operations and deliver smarter electronics for the world.' Universal Data Center Platform for Accelerated Workloads The RTX PRO 6000 Blackwell is a universal data center GPU for powering AI factories and accelerating demanding enterprise AI workloads, from multimodal AI inference and physical AI to design, scientific computing, graphics and video applications. NVIDIA RTX PRO Servers from global system partners can support up to eight NVIDIA RTX PRO 6000 Blackwell GPUs, including NVIDIA BlueField-3 DPUs and NVIDIA ConnectX®-8 SuperNICs with built-in PCIe Gen 6 switches. Enterprises can accelerate AI and data science workloads on RTX PRO Servers with the NVIDIA AI Enterprise software platform. Developers can optimize AI inference performance and agent accuracy with NVIDIA NIM™ and NeMo™ microservices, and use the latest NVIDIA AI Blueprints for digital humans and AI query engines. With powerful NVIDIA RTX™ graphics and AI capabilities, NVIDIA RTX PRO Servers deliver exceptional performance for industrial digital twin and robotics learning and simulation workflows developed on the NVIDIA Omniverse™ platform. New Validated Design Speeds Enterprise AI Factory DeploymentsUsing the NVIDIA Enterprise AI Factory validated design — based on recommended hardware configurations from NVIDIA Enterprise Reference Architectures — NVIDIA partners will build Blackwell AI factories featuring NVIDIA-Certified Servers, NVIDIA Spectrum-X, NVIDIA BlueField, NVIDIA-Certified Storage and NVIDIA AI Enterprise software. The full-stack, validated design provides AI software stack recommendations to help enterprise customers build and operate on-premises AI factories. It offers guidance for scaling an enterprise AI factory with RTX PRO Servers, including deployment best practices, to help organizations meet their growing AI business needs efficiently and reliably. Customers can also architect their Blackwell AI factories with NVIDIA HGX™ B200 systems for large-scale, demanding AI workloads. NVIDIA Partners Building Blackwell AI Factory Infrastructure NVIDIA ecosystem partners are building products, software and services to speed the enterprise IT shift to accelerated AI factory infrastructure. Global system makers Cisco, Dell Technologies, Hewlett Packard Enterprise and Lenovo will offer full-stack solutions with NVIDIA RTX PRO Servers and NVIDIA AI Enterprise software using the NVIDIA Enterprise AI Factory validated design. Data center system partners including Advantech, ASRock Rack, ASUS, Compal, Foxconn, GIGABYTE, Inventec, MiTAC Computing, MSI, Pegatron, Quanta Cloud Technology, Supermicro, Wistron and Wiwynn will also be offering NVIDIA RTX PRO Servers. Blackwell AI factories are ideal for accelerating workloads across a broad range of popular enterprise software platforms, including those from Ansys, Cadence, CrowdStrike, Elastic, Red Hat, Siemens and Synopsys. Enterprises building AI factories with NVIDIA RTX PRO 6000 Blackwell GPUs can deploy NVIDIA-Certified Storage from partners including DDN, Dell, HPE, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data and WEKA to support a broad range of workloads. Consulting giants Accenture, Deloitte, EY, Infosys, Tata Consultancy Services and Wipro are helping enterprises transition to Blackwell-accelerated data centers to speed applications across their business using the Enterprise AI Factory design. AvailabilityCustomers can contact their preferred NVIDIA technology provider to plan their enterprise AI factory with RTX PRO Servers. Learn more about the Enterprise AI Factory validated design and get started on the NVIDIA Marketplace. Watch the COMPUTEX keynote from Huang and learn more at NVIDIA GTC Taipei. About NVIDIA NVIDIA (NASDAQ: NVDA) is the world leader in accelerated computing. For further information, contact:Pearlina BocNVIDIA Corporation+1-562-275-5781pboc@ 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. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, ConnectX, NeMo, NVIDIA HGX, NVIDIA NIM, NVIDIA Omniverse, NVIDIA RTX, NVIDIA RTX PRO and NVIDIA Spectrum-X are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available athttps://
