Schneider Electric Launches New Data Centre Solutions to Meet Challenges of High-Density AI and Accelerated Compute Applications
MISSISSAUGA, Ontario--(BUSINESS WIRE)--Schneider Electric, the leader in the digital transformation of energy management and automation, today announced new data centre solutions specifically engineered to meet the intensive demands of next-generation AI cluster architectures. Evolving its EcoStruxure™ Data Centre Solutions portfolio, Schneider Electric introduced a Prefabricated Modular EcoStruxure Pod Data Centre solution that consolidates infrastructure for liquid cooling, high-power busway and high-density NetShelter Racks. In addition, EcoStruxure Rack Solutions incorporate detailed rack configurations and frameworks designed to accelerate High Performance Computing (HPC) and AI data centre deployments. The new EcoStruxure Pod Data Centre and EcoStruxure Rack Solutions are now available globally.
Organizations are deploying AI clusters and grappling with extreme rack power densities, which are projected to reach 1MW and beyond. Schneider Electric's new line of solutions equips customers with integrated, data-validated, and easily scaled white space solutions that address new challenges in pod and rack design, power distribution and thermal management.
'The sheer power and density required for AI clusters create bottlenecks that demand a new approach to data centre architecture,' said Himamshu Prasad, senior vice president of EcoStruxure IT, Transactional & Edge and Energy Storage Centre of Excellence at Schneider Electric. 'Customers need integrated infrastructure solutions that not only handle extreme thermal loads and dynamic power profiles but also deploy rapidly, scale predictably, and operate efficiently and sustainably. Our innovative next-generation EcoStruxure solutions that support NVIDIA technology address these critical requirements head on.'
New Product Overview
Prefabricated Modular EcoStruxure Pod Data Centre: Prefabricated, scalable pod architecture enables operators to deploy high-density racks, supporting pods up to 1MW and beyond, at scale. Engineered-to-order, the new pod infrastructure offers flexibility and supports liquid cooling, power busway, complex cabling, as well as hot aisle containment, InRow and rear door heat exchanger cooling architectures. The Prefabricated Modular EcoStruxure Pod Data Centre is now shipping pre-designed and pre-assembled with all components for rapid deployment to support high-density workloads.
EcoStruxure Rack Solutions: These reliable, high-density rack systems adapt to EIA, ORV3 and NVIDIA MGX modular design standards approved by leading IT chip and server manufacturers. Configurations accommodate a wide array of power and cooling distribution schemes and employ Motivair by Schneider Electric in-rack liquid cooling, as well as new and expanded rack and power distribution products, including:
NetShelter SX Advanced Enclosure: This new line features taller, deeper, and stronger racks to support increased weight, cabling and infrastructure. NetShelter SX Advanced features a reinforced shipload rating and is safeguarded with shock packaging, ensuring secure transport of AI servers and liquid cooling systems.
NetShelter Rack PDU Advanced: These power distribution units have been updated to support the high-current power needs of AI servers. Designed for efficient rack layouts, the NetShelter Rack PDU Advanced offers compact vertical and horizontal models with higher counts of dedicated circuits. Intelligent operational features now enabled by Schneider Electric's Network Management Card enhance security and provide seamless integration to EcoStruxure IT.
NetShelter Open Architecture: This Open Compute Project (OCP) inspired rack architecture is available as a configure-to-order solution and includes open rack standards, power shelf and in-rack busbar. As part of this, a new Schneider Electric rack system has also been developed to support the NVIDIA GB200 NVL72 system that utilizes the NVIDIA MGX architecture in its rack design, integrating Schneider Electric into NVIDIA's HGX and MGX ecosystems for the first time.
'Schneider Electric's innovative solutions provide the reliable, scalable infrastructure our customers need to accelerate their AI initiatives,' said Vladimir Troy, vice president of data centre engineering, operations, enterprise software and cloud services at NVIDIA. 'Together, we're addressing the rapidly growing demands of AI factories — from kilowatt to megawatt-scale racks—and delivering future-proof solutions that maximize scalability, density and efficiency.'
The new solutions and suite of engineered data centre reference designs equip data centre operators and Schneider Electric's partner ecosystem with the infrastructure and information needed to deploy powerful AI clusters faster and more reliably while addressing common barriers to adoption, including:
Reliable power and cooling for AI workloads
Deployment complexity and risk
Speed to market and supply chain resilience
Skills gap in managing advanced infrastructure
These enhanced EcoStruxure offerings add to Schneider Electric's robust line of fully integrated, end-to-end AI infrastructure solutions — spanning advanced hardware, intelligent software, services such as EcoCare™ and EcoConsult for Data Centres, and strategic industry partnerships with key IT players. Schneider Electric is the partner of choice for building efficient, resilient, scalable and AI-optimized data centres.
About Schneider Electric
Schneider's purpose is to create Impact by empowering all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On. Our mission is to be the trusted partner in Sustainability and Efficiency. We are a global industrial technology leader bringing world-leading expertise in electrification, automation and digitization to smart industries, resilient infrastructure, future-proof data centres, intelligent buildings, and intuitive homes. Anchored by our deep domain expertise, we provide integrated end-to-end lifecycle AI-enabled Industrial IoT solutions with connected products, automation, software and services, delivering digital twins to enable profitable growth for our customers. We are a people company with an ecosystem of 150,000 colleagues and more than a million partners operating in over 100 countries to ensure proximity to our customers and stakeholders. Learn more at se.ca or follow them on Instagram, X, Facebook, and LinkedIn at @SchneiderElectricCA. For media resources, visit Schneider Electric's online newsroom, se.ca/newsroom.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
an hour ago
- Yahoo
NYSE: SHOP) with a 'BUY' Rating and 12-Month Price Target of $130 USD
TORONTO, June 19, 2025 (GLOBE NEWSWIRE) -- Rockcliffe Capital is pleased to announce the initiation of equity research coverage on Shopify Inc. (TSX/NYSE: SHOP), one of North America's leading cloud-based commerce platforms empowering millions of merchants globally. Following a comprehensive fundamental and technical review, Rockcliffe Capital assigns Shopify a 'BUY' rating, supported by a 12-month price target of $130 USD, representing meaningful upside from current levels. 'Shopify stands at the intersection of software, e-commerce, and AI—a rare combination that positions it as a foundational platform for the future of global retail,' said Felix Gelt, Managing Director of Research at Rockcliffe Capital. 'Its durable growth, consistent free cash flow margins, and deep investments in AI make it a generational compounder.' Investment Thesis Highlights: • Sustainable Growth: Revenue rose 27% year-over-year in Q1 2025 to $2.36 billion, driven by continued GMV expansion and international strength. • Strong Cash Flow Profile: 15% free cash flow margin in the last quarter, with management guiding toward mid-teens margins in Q2. • AI & Enterprise Tailwinds: New generative AI tools, including 'Sidekick,' and accelerated enterprise adoption are expected to drive next-phase monetization. • Global Reach, Expanding TAM: Operating in 175+ countries, with increasing traction across emerging markets and B2B verticals. Valuation & Target: Rockcliffe Capital's proprietary model assigns Shopify a 2026E EV/Revenue multiple of ~18x, reflecting its leadership in e-commerce infrastructure and upcoming monetization from AI and enterprise. Our $130 USD price target reflects a base-case scenario with upside potential through further international penetration and SaaS revenue lift. Risk Factors: Key risks include macroeconomic pressure on discretionary spending, increased platform competition, and possible volatility tied to Shopify's strategic equity investments. However, we believe these are well-managed within the current roadmap and capital structure. About Rockcliffe Capital Research Rockcliffe Capital's Research Department provides institutional-grade equity research focused on growth-stage companies, public markets, and high-conviction investment themes. Through rigorous analysis, proprietary modeling, and deep sector insights, our research team supports investors, issuers, and strategic partners in identifying value and making informed decisions. Our coverage includes detailed valuation frameworks, peer comparisons, financial modeling, and ESG scorecards—delivering the intelligence that drives market leadership. Please contact research@ for access to our full research suite and initiation reports. Media Contact Rockcliffe Capital Research & Markets Division research@ +1 (416)-642-1967 This press release is for informational purposes only and does not constitute investment advice. Rockcliffe Capital and its affiliates may hold positions in the securities in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
an hour ago
- Yahoo
3 Mutual Funds to Buy on Continued Growth in Semiconductor Sales
Semiconductor sales have been steadily rising over the past year, largely driven by the enthusiasm surrounding artificial intelligence (AI), particularly generative AI. Robust demand across multiple industries has led to significant revenue growth in the semiconductor sector over recent quarters. In fact, the semiconductor industry, a key segment of the broader tech market, played a key role in powering last year's market upswing. Given these positive trends, investing in semiconductor-focused mutual funds — such as DWS Science and Technology A KTCAX, Fidelity Select Technology Portfolio FSPTX, and Red Oak Technology Select ROGSX — may be a smart move. According to the Semiconductor Industry Association (SIA), global semiconductor sales jumped a solid 2.5% sequentially in April, hitting $57 billion, up from $55.6 billion in March. Year over year, sales grew 22.7%. This marked the 11th consecutive month of year-over-year growth above 17%. SIA President and CEO John Neuffer said, 'Global semiconductor sales in April ticked up on a month-to-month basis for the first time in 2025, and the global market continues to notch year-to-year growth driven by increasing sales into the Americas and Asia Pacific.' The initial decline in monthly sales this year was sparked by uncertainties over the future of U.S. tech companies in AI following the launch of the low-cost Chinese AI model DeepSeek. However, concerns eased quickly, with many experts viewing the launch as overly hyped. The solid April performance followed an impressive 2024, when global semiconductor sales reached $627.6 billion, reflecting a 19.1% increase over 2023's $526.8 billion. Fourth-quarter sales alone grew 17.1% year over year, totaling $170.9 billion. The growth was largely fueled by rising demand for semiconductors in data centers, with memory chips contributing significantly to revenues. As tech firms continue to invest heavily in AI, the semiconductor industry is expected to benefit further. Experts predict strong demand to continue into 2025, with the SIA anticipating double-digit sales growth. We have, thus, selected three mutual funds with significant exposure to semiconductor producers. These funds carry a Zacks Mutual Fund Rank #1 (Strong Buy) or 2 (Buy) and are poised to gain from the above factors. Moreover, these funds have encouraging three- and five-year returns. Additionally, the minimum initial investment is within $5000. We expect these funds to outperform their peers in the future. Remember, the goal of the Zacks Mutual Fund Rank is to guide investors to identify potential winners and losers. Unlike most of the fund-rating systems, the Zacks Mutual Fund Rank is not just focused on past performance but also on the likely future success of the fund. The question here is: why should investors consider mutual funds? Reduced transaction costs and diversification of portfolio without several commission charges that are associated with stock purchases are primarily why one should be parking money in mutual funds (read more: Mutual Funds: Advantages, Disadvantages, and How They Make Investors Money). DWS Science and Technology A fund seeks growth of capital. Under normal circumstances, KTCAX invests at least 80% of its net assets in common stocks of U.S. companies in the technology sector. DWS Science and Technology A fund has a track record of positive total returns for over 10 years. Specifically, KTCAX's returns over the three and five-year benchmarks are 18.6% and 17.1%, respectively. DWS Science and Technology A fund has a Zacks Mutual Fund Rank #1 and an annual expense ratio of 0.88, which is lower than the category average of 1.03%. To see how this fund performed compared to its category and other #1 or 2 Ranked Mutual Funds, please click here. Fidelity Select Technology Portfolio fund seeks capital appreciation by investing most of its assets in common stocks of companies principally engaged in offering, using, or developing products, processes, or services that will provide or benefit significantly from technological advances and improvements. Specifically, Fidelity Select Technology Portfolio's returns over the three and five-year benchmarks are 15.7% and 18.3%, respectively. FSPTX carries a Zacks Mutual Fund Rank #1 and has an annual expense ratio of 0.62%, which is lower than the category average. To see how this fund performed compared to its category, and other #1 and 2 Ranked Mutual Funds, please click here. Red Oak Technology Select fund seeks long-term capital growth by investing primarily in stocks of companies that rely extensively on technology in their product development or operations, or which may be experiencing growth in sales and earnings driven by technology-related products and services. ROGSX primarily invests in technology companies that develop, produce, or distribute products or services related to computers, semiconductors and electronics. Red Oak Technology Select fund's returns over the three and five-year benchmarks are 12.8% and 13.5%, respectively. ROGSX carries a Zacks Mutual Fund Rank #2 and an annual expense ratio of 0.92% To see how this fund performed compared to its category, and other #1 and 2 Ranked Mutual Funds, please click here. Zacks' free Fund Newsletter will brief you on top news and analysis, as well as top-performing mutual funds, each week. Get it free >> Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Get Your Free (FSPTX): Fund Analysis Report Get Your Free (ROGSX): Fund Analysis Report Get Your Free (KTCAX): Fund Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
an hour ago
- Yahoo
Scientists unite with AI to record dreams
Dreaming is a fascinating state where creativity runs wild, crafting vivid, cinematic scenes that can feel as real as everyday life—until you wake up and they vanish into memory or disappear from your recollection altogether. But what if there were a way to capture, record, and playback your dreams in the real world? At ATR Computational Neuroscience Laboratories in Kyoto, Japan, a group of scientists unveiled a complex system that uses functional magnetic resonance imaging (fMRI) and AI to 'record' people's dreams and play them back in a rough, estimated form. The experiment focused on closely observing the brain's electrical and blood flow activity in a select group of volunteers as they slept. To achieve this, researchers combined an electroencephalogram (EEG) with an fMRI machine, allowing participants to spend several nights sleeping while their brain activity was recorded. During the REM stage of sleep—when brain activity surges and dreams unfold—participants were gently awakened and asked to recount their dreams. This process was repeated hundreds of times, creating a rich database that linked distinct brain-scan patterns to specific dream imagery. Using this carefully constructed database, scientists employed deep learning algorithms to attempt to reconstruct visual content while the volunteers slept. During the tests, the system achieved approximately 60% accuracy, rising to over 70% on more specific categories like people or objects. Professor Yukiyasu Kamitani stated, 'We were able to reveal dream content from brain activity during sleep, which was consistent with the subjects' verbal reports.' The idea of watching your dreams play out like a vintage film is undeniably captivating, but the implications for neuroscience and mental health are equally remarkable. In the future, this innovative approach could be harnessed to explore emotional and cognitive patterns in various mental health conditions, providing a non-verbal and impartial glimpse into the subconscious. As the technology advances, it holds the potential to deepen our understanding of both human consciousness and the subconscious mind. However, while the technology is still in its early stages, the results it produces are often blurry and indistinct. Key elements such as colour, motion, narrative structure, and emotion remain largely elusive for now. Currently, dreams can only be captured in retrospect, after the subject has awakened, rather than in real-time. Dr. Mark Stokes points out that "all of this would have to be done within individual subjects," meaning that a universal classifier capable of interpreting anyone's dreams is not feasible. In essence, a dream-reading machine is not a one-size-fits-all solution. Nonetheless, this experiment represents a significant leap forward in the field of "oneirography," which involves the recording and documentation of dreams. As advancements in fMRI, EEG, and AI continue, the boundary between our internal mental experiences and external observation is starting to blur. "Scientists unite with AI to record dreams" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
