Latest news with #AI-ready
Yahoo
14 hours ago
- Business
- Yahoo
As AI surges, Schneider Electric is teaming up with Nvidia to help data centers manage their energy use. Here's how.
Schneider Electric partnered with Nvidia to tackle AI-driven energy challenges. The tech company's new data-reference center design aims to cut cooling energy usage by about 20%. This article is part of "CXO AI Playbook" — straight talk from business leaders on how they're testing and using AI. Schneider Electric is a global technology company specializing in energy management for software and services, including data centers and industrial automation. Founded in 1836, the company is headquartered in Paris and operates in more than 100 countries. Some of its customers include Microsoft, Google, and Amazon. Situation analysis The use of artificial intelligence continues to expand worldwide. Pankaj Sharma, the executive vice president of data centers and networks at Schneider Electric, said as a result, more data centers will be built, the demand for energy will increase, and the environmental impact will grow. The International Energy Agency estimates that by 2026, the AI industry will use about 10 times the electricity it consumed in 2023. Along with expanding energy, data centers also face the challenge of incorporating cooling systems that enhance energy efficiency and performance. In December 2024, Schneider Electric announced a partnership with Nvidia to develop tools to help data center operators address their energy and sustainability challenges related to increased AI use. This includes plans for developing AI-focused energy and cooling strategies and AI infrastructure, and consulting support to help data centers reach their sustainability goals. The partnership includes what Sharma calls "data center reference architectures," frameworks outlining the energy requirements and cooling systems needed to support data processing, business networks, data storage, and other technology. It also includes digital plans and real-time insights to help build new, energy-efficient data centers. Sharma said the goal is to help companies improve their digital infrastructure by establishing more sustainable, AI-ready data centers. Key staff and partners Sharma told Business Insider that Schneider Electric collaborated with Nvidia on the project. He said Schneider's technology teams and data center engineers and architects worked closely with Nvidia's technical teams on the latest partnership to develop and test solutions. The executive leadership and business development teams were also involved. AI in action Schneider Electric co-developed a new data-reference center design with Nvidia. This is a plan for building new data centers that support high-density AI clusters of up to 132 kilowatts per data-center server rack. A cluster is a network of servers that power AI, and a server rack is a structure that houses and organizes IT equipment. Sharma said the reference plan works with Nvidia's superchips, which are designed for large-scale AI and high-performance processing. The project is also built to support liquid cooling, a process of using water or a liquid coolant to absorb and remove heat from large-scale computers and processing units. Sharma said the new reference designs build on Schneider Electric's existing products, which help remove heat from data centers. He said the latest designs developed with Nvidia help Schneider Electric's customers organize the development and building of data centers that meet a company's energy and cooling challenges. Sharma added that the plans can be customized for individual companies' requirements for their AI workloads in a more energy-efficient, sustainable way for the future. He said that data centers are already being built using the design created with Nvidia. "The intent of the design is not to build a real-life, end-to-end replica of the design, but instead, to use various aspects of it to inform customers' initiatives, providing inspiration and guidance as needed," Sharma said. Did it work, and how did leaders know? Using virtual modeling and testing, Sharma said that the reference designs developed with Nvidia could help data centers reduce cooling energy usage by about 20%. The plan can also help shorten the time it takes to design and build new data center projects by about 30%, which also saves companies money and enhances sustainability, he added. "It's not just speed, it's cost and sustainability," Sharma said. "All of these pieces put together are an advantage for all our customers." Schneider Electric plans to continue working with Nvidia to develop more reference designs over the next few years, Sharma said. The company is also working to create data center designs and infrastructure that can accommodate even higher levels of energy use, as well as the cooling technology necessary to prevent overheating and manage energy consumption. Read the original article on Business Insider
Business Insider
18 hours ago
- Business
- Business Insider
As AI surges, Schneider Electric is teaming up with Nvidia to help data centers manage their energy use. Here's how.
Schneider Electric is a global technology company specializing in energy management for software and services, including data centers and industrial automation. Founded in 1836, the company is headquartered in Paris and operates in more than 100 countries. Some of its customers include Microsoft, Google, and Amazon. Situation analysis The use of artificial intelligence continues to expand worldwide. Pankaj Sharma, the executive vice president of data centers and networks at Schneider Electric, said as a result, more data centers will be built, the demand for energy will increase, and the environmental impact will grow. The International Energy Agency estimates that by 2026, the AI industry will use about 10 times the electricity it consumed in 2023. Along with expanding energy, data centers also face the challenge of incorporating cooling systems that enhance energy efficiency and performance. In December 2024, Schneider Electric announced a partnership with Nvidia to develop tools to help data center operators address their energy and sustainability challenges related to increased AI use. This includes plans for developing AI-focused energy and cooling strategies and AI infrastructure, and consulting support to help data centers reach their sustainability goals. The partnership includes what Sharma calls "data center reference architectures," frameworks outlining the energy requirements and cooling systems needed to support data processing, business networks, data storage, and other technology. It also includes digital plans and real-time insights to help build new, energy-efficient data centers. Sharma said the goal is to help companies improve their digital infrastructure by establishing more sustainable, AI-ready data centers. Key staff and partners Sharma told Business Insider that Schneider Electric collaborated with Nvidia on the project. He said Schneider's technology teams and data center engineers and architects worked closely with Nvidia's technical teams on the latest partnership to develop and test solutions. The executive leadership and business development teams were also involved. AI in action Schneider Electric co-developed a new data-reference center design with Nvidia. This is a plan for building new data centers that support high-density AI clusters of up to 132 kilowatts per data-center server rack. A cluster is a network of servers that power AI, and a server rack is a structure that houses and organizes IT equipment. Sharma said the reference plan works with Nvidia's superchips, which are designed for large-scale AI and high-performance processing. The project is also built to support liquid cooling, a process of using water or a liquid coolant to absorb and remove heat from large-scale computers and processing units. Sharma said the new reference designs build on Schneider Electric's existing products, which help remove heat from data centers. He said the latest designs developed with Nvidia help Schneider Electric's customers organize the development and building of data centers that meet a company's energy and cooling challenges. Sharma added that the plans can be customized for individual companies' requirements for their AI workloads in a more energy-efficient, sustainable way for the future. He said that data centers are already being built using the design created with Nvidia. "The intent of the design is not to build a real-life, end-to-end replica of the design, but instead, to use various aspects of it to inform customers' initiatives, providing inspiration and guidance as needed," Sharma said. Did it work, and how did leaders know? Using virtual modeling and testing, Sharma said that the reference designs developed with Nvidia could help data centers reduce cooling energy usage by about 20%. The plan can also help shorten the time it takes to design and build new data center projects by about 30%, which also saves companies money and enhances sustainability, he added. "It's not just speed, it's cost and sustainability," Sharma said. "All of these pieces put together are an advantage for all our customers." Schneider Electric plans to continue working with Nvidia to develop more reference designs over the next few years, Sharma said. The company is also working to create data center designs and infrastructure that can accommodate even higher levels of energy use, as well as the cooling technology necessary to prevent overheating and manage energy consumption.
Business Wire
19 hours ago
- Business
- Business Wire
Saviynt Announces Availability of Saviynt MCP Server in the New AWS Marketplace AI Agents and Tools Category
LOS ANGELES--(BUSINESS WIRE)-- Saviynt, a leading provider of identity security solutions, today announced the availability of Saviynt MCP Server in the new AI Agents and Tools category of AWS Marketplace. Customers can now use AWS Marketplace to easily discover, buy, and deploy AI agent solutions, including Saviynt MCP Server using their AWS accounts, accelerating AI agent and agentic workflow development. Saviynt MCP Server helps organizations extend the capabilities of Saviynt Identity Cloud by empowering customers to turn natural language prompts into precise identity actions—such as retrieving and analyzing access patterns, evaluating cross-application access, and initiating governance workflows including access approvals and revocations. 'Offering Saviynt MCP Server in AWS Marketplace is an exciting milestone,' said Vibhuti Sinha, chief product officer at Saviynt. 'Saviynt MCP Server is a game changer—bringing natural language-driven identity intelligence to the forefront. AWS Marketplace allows us to provide customers with a streamlined way to access our solutions, helping them unlock real-time access insights, streamline governance workflows, and dramatically accelerate their journey toward autonomous identity security.' Saviynt MCP Server delivers essential capabilities including unified identity visibility that instantly visualizes access across cloud, hybrid and on-premises environments. With context-rich governance powered by MCP-based queries, organizations can link access to policies, approvals, and usage. Its AI-ready integration streamlines automation and accelerates compliance through seamless workflow orchestration. With the availability of AI Agents and Tools in AWS Marketplace, customers can significantly accelerate their procurement process to drive AI innovation, reducing the time needed for vendor evaluations and complex negotiations. With centralized purchasing using AWS accounts, customers maintain visibility and control over licensing, payments, and access through AWS. Available as a SaaS solution, Saviynt MCP Server leverages Model Context Protocol (MCP) to power intelligent agent interactions—bringing full-spectrum access visibility and automated governance to the forefront of AI-powered enterprises. To learn more about Saviynt MCP Server in AWS Marketplace, visit the website. To learn more about the new AI Agents and Tools category in AWS Marketplace, visit About Saviynt Saviynt empowers enterprises to secure their digital transformation, safeguard critical assets, and meet regulatory compliance. With a vision to provide a secure and compliant future for all enterprises, Saviynt is recognized as an industry leader in identity security whose cutting-edge solutions protect the world's leading brands, Fortune 500 companies and government organizations. For more information, please visit
Korea Herald
a day ago
- Business
- Korea Herald
AmCham spotlights AI-era cyber risks, calls for Korea-US cooperation
The American Chamber of Commerce in Korea hosted its first Cybersecurity Seminar on Wednesday under the theme 'Cybersecurity as National Security: Global Trends & Industry Lessons,' bringing together senior Korean and US government officials, global business leaders and cybersecurity experts in Seoul. The event underscored the growing importance of cybersecurity in national and economic security amid escalating AI-driven threats and global digital transformation. In his opening remarks, James Kim, AmCham chairman and CEO, stressed that cybersecurity must be seen as a cornerstone of national resilience. 'If a highly structured company like SK Telecom can be breached, it shows no organization is completely safe,' he warned. Korean lawmakers and senior officials — including National Assembly Vice Chair Choi Hyung-du, Ministry of Science and ICT Director General Choi Woo-hyuk, and FBI Legal Attache at the US Embassy Justin Chang — emphasized the urgency of public-private and international cooperation. 'Cybersecurity threats are no longer confined to the corporate domain,' said Choi. 'They now pose real risks to national infrastructure and public safety.' Keynote speakers included Simon Green, APAC President at Palo Alto Networks, and Lee Ki-joo, Chairman of Korea's CISO Council, who both urged organizations to adopt integrated, AI-ready cybersecurity strategies. 'AI technology has advanced ways of cyber attacks overall. We must rebuild strategies on cybersecurity,' Green stated during his speech. 'Our imperative is to secure AI by design, enabling organizations to innovate bravely and securely in this new era.' A panel moderated by Professor Kwon Hun-yeong from Korea University addressed the evolution of cyber risks across telecom, finance, and energy sectors, calling for cross-border data sharing and executive-level accountability. The seminar reaffirmed AmCham's role in promoting US–Korea tech cooperation and advancing a secure digital business environment.
Straits Times
2 days ago
- Business
- Straits Times
Trump unveils investments to power AI boom
Find out what's new on ST website and app. US President Donald Trump during the inaugural Pennsylvania Energy and Innovation Summit in Pittsburgh, Pennsylvania, on July 15. PITTSBURGH - US President Donald Trump went to Pennsylvania on July 15 to announce $92 billion in energy and infrastructure deals intended to meet big tech's soaring demand for electricity to fuel the AI boom. Mr Trump made the announcement at the inaugural Pennsylvania Energy and Innovation Summit at Carnegie Mellon University, with much of the talk about beating China in the global AI race. 'Today's commitments are ensuring that the future is going to be designed, built and made right here in Pennsylvania and right here in Pittsburgh, and I have to say, right here in the United States of America,' Mr Trump said at the event. The tech world has fully embraced generative AI as the next wave of technology, but fears are growing that its massive electricity needs cannot be met by current infrastructure, particularly in the United States. Generative AI requires enormous computing power, mainly to run the energy-hungry processors from Nvidia, the California-based company that has become the world's most valuable company by market capitalisation. Officials expect that by 2028, tech companies will need as much as five gigawatts of power for AI – enough electricity to power roughly five million homes. Top executives from Palantir, Anthropic, Exxon and Chevron attended the event. Top stories Swipe. Select. Stay informed. Singapore Las Vegas Sands' new development part of S'pore's broader, more ambitious transformation: PM Wong Singapore 'Kpods broke our marriage, shattered our children': Woman on husband's vape addiction Business US tariffs may last well after Trump; crucial for countries to deepen trade ties: SM Lee World Trump says Indonesia to face 19% tariff under trade deal Multimedia Telling the Singapore story for 180 years Life Walking for exercise? Here are tips on how to do it properly Singapore CDL's long-time director Philip Yeo to depart after boardroom feud Singapore 'Nobody deserves to be alone': Why Mummy and Acha have fostered over 20 children in the past 22 years The funding will cover new data centres, power generation, grid infrastructure, AI training, and apprenticeship programs. Race to beat China Among investments, Google committed US$25 billion (S$32 billion) to build AI-ready data centres in Pennsylvania and surrounding regions. 'We support President Trump's clear and urgent direction that our nation invest in AI... so that America can continue to lead in AI,' said Ms Ruth Porat, Google's president and chief investment officer. The search engine giant also announced a partnership with Brookfield Asset Management to modernise two hydropower facilities in Pennsylvania, representing 670 megawatts of capacity on the regional grid. Investment group Blackstone pledged more than US$25 billion to fund new data centres and energy infrastructure. US Senator David McCormick, from Pennsylvania, said the investments 'are of enormous consequence to Pennsylvania, but they are also crucial to the future of the nation'. His comments reflect the growing sentiment in Washington that the United States must not lose ground to China in the race to develop AI. 'We are way ahead of China and the plants are starting up, the construction is starting up,' Mr Trump said. The US president launched the 'Stargate' project in January, aimed at investing up to US$500 billion in US AI infrastructure – primarily in response to growing competition with China. Japanese tech investor SoftBank, ChatGPT-maker OpenAI, and Oracle are investing US$100 billion in the initial phase. Mr Trump has also reversed many policies adopted by the previous Biden administration that imposed checks on developing powerful AI algorithms and limits on exports of advanced technology to certain allied countries. He is expected to outline his own blueprint for AI advancement later in July. AFP
