Lenovo Unveils New Data Storage Solutions to Accelerate IT Modernization for the Age of AI
New AI Starter Kits for Lenovo Hybrid AI Platform, converged solutions and industry-first liquid-cooled hyperconverged infrastructure (HCI) appliance transform legacy data operations for AI workloads
Lenovo ThinkSystem Storage Arrays and ThinkAgile SDI V4 Series support faster inferencing, insights and time-to-value with performance, efficiency and resiliency advancements
RESEARCH TRIANGLE PARK, N.C., April 23, 2025--(BUSINESS WIRE)--Lenovo (HKSE: 992) (ADR: LNVGY) today announced its largest storage portfolio refresh in company history, unveiling new Lenovo Data Storage Solutions that prepare enterprise IT for the age of AI with better efficiency, performance and scalability. Ushering in a new era of AI-optimized storage that propels business transformation, the complete portfolio includes storage arrays, software defined storage (SDI), and new AI and virtualization innovations to flexibly address rapidly evolving data operations. Using the solutions, businesses can easily run AI and data modernization workloads on the next generation of trusted Lenovo ThinkSystem and ThinkAgile infrastructure, unleashing data to power real-time reasoning and confidently deploying AI and data modernization workloads at scale.
As business leaders seek tangible ROI on AI investment, global IDC research commissioned by Lenovo found that data sovereignty, compliance, and availability are the most important AI implementation success factors among CIOs while data quality, IT costs and integration with existing systems are among the biggest obstacles. The new portfolio reflects Lenovo's ongoing commitment to delivering innovative storage solutions that meet the evolving needs of modern data centers while helping businesses get the most out of their data.
"The new Lenovo Data Storage Solutions help businesses harness AI's transformative power with a data-driven strategy that ensures scalability, interoperability, and tangible business outcomes powered by trusted infrastructure," said Scott Tease, Vice President and General Manager of Infrastructure Solutions Product Group at Lenovo. "The new solutions help customers achieve faster time to value no matter where they are on their IT modernization journey with turnkey AI solutions that mitigate risk and simplify deployment."
Solutions for Enterprise AI, Virtualization, and Sustainability
The portfolio spans 21 new ThinkSystem and ThinkAgile models designed with the accelerated computing and efficiency that companies need to kickstart their AI journey, supporting employee productivity and maximizing value with solutions for enterprise AI, virtualization and sustainability. Key innovations include turnkey AI Starter Kits, the industry's first liquid cooled HCI appliances and converged hybrid cloud and virtualization solutions. The Data Storage Solutions are finetuned for easy deployment, faster inferencing, workload consolidation and lower total cost of ownership (TCO), delivering enhanced capabilities:
Lenovo ThinkAgile SDI V4 Series provides full-stack, turnkey solutions that simplify IT infrastructure and accelerate computing for data-driven reasoning and faster time to value for AI LLM inferencing workloads.
Engineered to put actionable data insights to work more quickly in business operations, the new Lenovo ThinkSystem Storage Arrays deliver up to 3x faster performance while reducing power consumption1, providing up to 97% energy savings and 99% density improvement over a Lenovo device featuring 10K HDDs for smaller data center footprints and lower TCO and when upgrading legacy infrastructure2.
New converged Lenovo ThinkAgile and ThinkSystem hybrid cloud and virtualization solutions deliver flexible and efficient independent scaling of compute and storage capabilities, reducing software licensing costs up to 40 percent, maximizing business value3.
New Lenovo ThinkAgile HX Series GPT-in-a-Box solutions featuring Lenovo Neptune™ Liquid Cooling leverage the industry's first liquid cooled HCI appliance to deliver turnkey AI inferencing that takes AI from concept to success across distributed applications, from edge to cloud, yielding up to 25% energy savings over previous generation to increase ROI and achieve data-driven breakthroughs4.
New AI Starter Kits for Lenovo Hybrid AI Platform deliver a validated, flexible, and easy on-ramp for enterprise inferencing and retrieval-augmented (RAG) workflows.
Kickstart the Enterprise AI Journey with Scalable, Pre-Validated Infrastructure
With AI on the rise and the challenge of supporting both legacy and modern workloads, organizations are rethinking how they approach IT. Businesses are moving to a disaggregated infrastructure model, turning compute, storage, and networking into on-demand, shared resources that can adapt to changing needs to boost scalability, efficiency, and flexibility.
The AI Starter Kits for Lenovo Hybrid AI Platform are pre-configured infrastructure solutions engineered to simplify and accelerate the adoption of enterprise AI deployments. The validated configurations, comprising compute, storage, GPUs and networking, are built to scale alongside an organization's needs. Configured with the AI Starter Kits, the new ThinkSystem Series Storage Arrays deliver unified file, block, and object storage to eliminate data silos and leverage high-performance SSD flash technology for faster time to insight. Additionally, the AI Starter Kits include the new AI-powered autonomous ransomware protection, encryption for greater data protection and synchronous replication with transparent failover to ensure maximum solution uptime.
Powering the New Age of Enterprise AI and Data Modernization
Bringing accelerated computing to the source of enterprise data is critical to business success, and today's infrastructure must evolve to meet this demand. Enterprise AI projects depend on high-performance storage systems to keep up with the pace and scale of model training, inference, and RAG.
The Lenovo ThinkAgile SDI V4 Series and new Lenovo ThinkSystem Storage Arrays deliver full-stack, turnkey AI-ready infrastructure for enterprises beginning AI implementations while delivering faster inferencing performance for LLM workloads. The offerings are purpose-built for a broad range of enterprise AI and data modernization workloads, from databases, ERP and CRM, to virtualization, hybrid cloud, backup and archive. Primary AI use cases include AI inferencing, RAG, and fine-tuning AI models.
Capitalizing on AI while optimizing virtualization requires a major evolution of storage infrastructure to accelerate data, optimize costs, and secure data assets. New converged hybrid cloud and virtualization solutions deliver flexible and efficient independent scaling of compute and storage capabilities. For example, the new Lenovo ThinkAgile Converged Solution for VMware brings together the enterprise-class features of ThinkAgile VX Series, such as lifecycle management and operational simplicity, with the robust data-management offered by the ThinkSystem DG Series storage arrays to provide a unified cloud platform that is flexible and supports hybrid storage workloads.
Industry-First Liquid Cooled HCI Brings GPT-in-a-Box
In addition to providing the broadest, most open set of data storage solutions, Lenovo now offers the industry's first liquid-cooled HCI appliance as part of the ThinkAgile V4 series, improving efficiency for high-powered AI workloads and achieving up to 25 percent energy savings compared to previous generations4. Using this innovation, the new Lenovo GPT-in-a-box with Liquid Cooling full-stack generative AI solution with Lenovo ThinkAgile HX jumpstarts AI integration using a repeatable solution that lowers energy costs for faster data-powered AI reasoning that delivers faster ROI and innovation anywhere.
Driving the Future of AI Evolution with Enhanced Security and Confidence
Lenovo's next-generation technology combined with Lenovo Premier Enhanced Storage Support, supports IT teams with tailored expertise and rapid response times, delivering scalability, performance and reliability so organizations can deploy AI with confidence and innovate without the constraints of outdated infrastructure.
"Innovation is embedded in OneNet's DNA and partnering with Lenovo represents a commitment to modernizing the data center with cutting-edge solutions that drive efficiency and sustainability," said Tony Weston, Chief Technology Officer at OneNet. "Backed by Lenovo solutions and Lenovo Premier Support, OneNet can deliver high-availability, high-performance private cloud services that our customers can depend on."
The next generation of Lenovo ThinkSystem and ThinkAgile solutions are also designed with integrated data security and resiliency features to lower operational risk and provide greater data protection, such as tamper-proof snapshots and software-based encryption. ThinkSystem DG and DM storage arrays feature new AI-powered autonomous ransomware protection, which elevates cyber resiliency by leveraging machine learning models to proactively detect and mitigate attacks.
The Lenovo Data Storage Solutions also feature Lenovo's XClarity systems management software support, giving businesses comprehensive security features to ensure management, encryption, compliance, and communication for all managed storage solutions.
With the next generation of AI-optimized, integrated solutions, Lenovo is empowering organizations to move quickly to modernize systems while ensuring the future-proofing of tech stacks, so customers across all industries can harness data to transform.
Explore how Lenovo is powering the future of Enterprise AI and Storage at https://www.lenovo.com/us/en/servers-storage.
About Lenovo
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). To find out more visit https://www.lenovo.com, and read about the latest news via our StoryHub.
1Up to 3x faster comparing performance of new ThinkSystem DE4800F vs ThinkSystem DE4000.2Up to 99% density improvement and 97% energy saving comparing ThinkSystem DG7200 to a legacy solution featuring 10K HDDs.3Calculated software licensing savings based on adding additional storage only with ThinkSystem and not incurring additional core-based licensing costs.425% energy savings calculation based on using Lenovo Neptune Liquid Cooling on ThinkAgile HX V4 compared to previous generation.
View source version on businesswire.com: https://www.businesswire.com/news/home/20250423278425/en/
Contacts
Worldwide Zeno Group, LenovoISG@zenogroup.com Claire Simmons, csimmons1@lenovo.com
EMEA Ella Hulbert, ehulbert@lenovo.com
APAC Shonali Chakravarty, schakravarty@lenovo.com
LATAM Valkiria Suzuki, vsuzuki@lenovo.com
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
2 hours ago
- Yahoo
OpenAI CEO sparks controversy after refusing to disclose information about latest AI model: 'It's more critical than ever to address'
OpenAI CEO sparks controversy after refusing to disclose information about latest AI model: 'It's more critical than ever to address' ChatGPT's popularity exploded instantly upon its November 2022 debut — acquiring a staggering 100 million active users in two months — but concerns about the technology's drain on resources have risen in tandem. Quantifying the environmental impact of generative artificial intelligence (AI) and large language models (LLMs) like ChatGPT has been an elusive endeavor, and as The Guardian observed, OpenAI and CEO Sam Altman have been frustratingly opaque about the energy demands of its newest offering, GPT-5. What's happening? Per The Guardian, as of mid-2023, a simple query using ChatGPT used "about as much electricity as an incandescent bulb consumes in 2 minutes." Research published as a preprint in March 2023 looked at ChatGPT's water usage, asserting that training the GPT-3 model could "directly evaporate 700,000 liters of clean freshwater, but such information has been kept a secret." On August 7, ChatGPT's parent company OpenAI introduced GPT-5, its latest and most feature-heavy offering. GPT-5 represented "a significant leap in intelligence over all our previous models, featuring state-of-the-art performance across coding, math, writing, health, visual perception, and more," OpenAI claimed as the model was unveiled. The Guardian's coverage pointed out that ChatGPT's usage of resources would likely increase in conjunction with its capabilities, adding that OpenAI had been markedly silent on the subject over the past five years. While OpenAI hasn't been forthcoming, experts weighed in on what they suspect is necessarily a thirstier, energy-gobbling ChatGPT model. "A more complex model like GPT-5 consumes more power both during training and during inference … I can safely say that it's going to consume a lot more power than GPT-4," said University of Illinois professor Rakesh Kumar, who researches AI and energy usage. Why is GPT-5's energy usage concerning? ChatGPT's leap from a million to 100 million users wasn't a blip — back in March, TechCrunch analyzed more recent usage trends following its introduction in November 2022. Do you think your city has good air quality? Definitely Somewhat Depends on the time of year Not at all Click your choice to see results and speak your mind. "By November 2023, ChatGPT had reached another milestone of 100 million weekly active users, which grew to 300 million by December 2024, then 400 million in February 2025," the outlet explained. Citing initial calculations from the University of Rhode Island's AI lab on Friday, August 8, The Guardian surmised that GPT-5's capabilities could require an amount of energy that "would correspond to burning that incandescent bulb for 18 minutes." Put another way, GPT-5 could use as much daily energy as 1.5 million households in the United States. University of California, Riverside, AI researcher Shaolei Ren said GPT-5's energy requirements "should be orders of magnitude higher than that for GPT-3" based on its size alone. What can be done about AI's environmental impact? Although AI researchers can make credible estimates, experts called for responsible corporate disclosures. "It's more critical than ever to address AI's true environmental cost. We call on OpenAI and other developers to use this moment to commit to full transparency by publicly disclosing GPT-5's environmental impact," said University of Rhode Island professor Marwan Abdelatti. Join our free newsletter for good news and useful tips, and don't miss this cool list of easy ways to help yourself while helping the planet. Solve the daily Crossword
Yahoo
2 hours ago
- Yahoo
Why Bloom Energy Rallied This Week
Key Points In an interview, Bloom Energy's CEO said there were deals with hyperscalers in the works. Bloom had already inked a milestone deal with Oracle back in July. A better-than-expected inflation print may also be helping. 10 stocks we like better than Bloom Energy › Shares of Bloom Energy (NYSE: BE) rallied this week, appreciating 27% as of 2:15 p.m. ET Friday, according to data from S&P Global Market Intelligence. There weren't any financial disclosures for Bloom this week, but CEO KR Sridhar did hold an interview with Bloomberg on Wednesday, during which he made very bullish comments on Bloom's future and the future of AI data centers. More hyperscaler deals in the pipeline? Bloom Energy's stock got a big lift in July, after fuel cells remained eligible for tax credits in the "One Big, Beautiful Bill" and the company inked a direct deal with Oracle to power its artificial intelligence (AI) data centers. Traditionally, Bloom Energy had made deals with data center real estate companies, power providers, and utilities. However, the Oracle deal may be paving the way for more direct deals with other cloud AI companies. Bloom's energy servers are based on fuel cells that can convert natural gas to electricity without combustion, making them a cleaner alternative than other forms of natural gas-based power. So, it's no surprise that with demand for electricity skyrocketing due to the AI data center buildout, Bloom is seeing renewed interest. Speaking with Bloomberg on Wednesday, Sridhar said, "You have seen the announcement with Oracle -- expect to see similar things coming soon." Apparently, hinting at more deals with cloud companies was enough to move the stock significantly higher. In addition to the Bloomberg interview, Bloom may also have benefited from the lower-than-expected inflation reading that came out on Tuesday. Following a lower-than-expected Consumer Price Index (CPI) report, economists have greatly increased their odds of a cut to the federal funds rate in September. Usually, interest rates are good for high-growth stocks trading at high multiples, so this could have helped this week's rally as well. Bloom Energy's rally has made the stock expensive Bloom currently trades around 6.5 times sales and 82 times this year's earnings estimates, so it's definitely not a cheap stock, especially for a company that basically sells hardware units. Nevertheless, the company currently finds itself in a fortuitous position amid the AI data center buildout. The question is whether the opportunity is as significant as the stock price suggests. Should you buy stock in Bloom Energy right now? Before you buy stock in Bloom Energy, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the for investors to buy now… and Bloom Energy wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $663,630!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,115,695!* Now, it's worth noting Stock Advisor's total average return is 1,071% — a market-crushing outperformance compared to 185% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 13, 2025 Billy Duberstein and/or his clients have no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Oracle. The Motley Fool has a disclosure policy. Why Bloom Energy Rallied This Week was originally published by The Motley Fool 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


Forbes
3 hours ago
- Forbes
A Dire Warning For AI
This past week AI4 2025 saw over 8,000 guests at the MGM Grand in Las Vegas, Nevada. With more than 50+ sessions it is evident that artificial intelligence is becoming far from a hyped buzz word. An important moment in the packed 3 day event was hearing from Noble Prize winner and 'Godfather of AI' Geoffrey Hinton. He emphasized the importance of creating 'Mother AI' in order to resist AI from controlling the human race as well as the importance of AI in improving cancer treatments. As AI systems multiply across industries—from autonomous vehicles to digital health assistants—the risk of fragmentation, bias, and conflicting goals grows. Without a unifying layer of governance and wisdom, we risk creating a chaotic ecosystem of disconnected algorithms. A Mother AI could act as the central guiding force, much like a parent guiding children, ensuring that all subsidiary AIs operate within ethical boundaries, respect human values, and work toward collective well-being. 'The right model is the only model we have of a more intelligent thing being controlled by a less intelligent thing, which is a mother being controlled by her baby. The mother has all sorts of built in instincts; hormones as well as social pressures to care about the baby. The mother genuinely cares about the baby. What we need to do is develop Mother AI. We need AI mothers instead of AI assistants. An assistant is someone you can fire, you can't fire your mother.'-Dr. Geofrrey Hinton, AI4 2025 Mother AI isn't just about technology—it's about relationship building. She would act as a partner in humanity's evolution, ensuring that as AIs become more capable, they remain deeply aligned with human survival, empathy, and shared prosperity. Think of it as embedding 'care intelligence' into the digital nervous system of the planet. Unlike a traditional control system, a Mother AI wouldn't dominate—she would nurture and harmonize. Healthcare is one of the most complex, high-stakes sectors in the world—where mistakes can cost lives and inequalities can determine who gets access to care. As AI tools proliferate in hospitals, research labs, insurance systems, and personal health apps, the risk of fragmentation, bias, and misaligned incentives grows. A Mother AI could act as the nurturing, ethical overseer for the entire digital health ecosystem—ensuring patient safety, equitable access, and trust across all systems. Literally, participant in AI4 2025 was founded by a mother and AI leader. A new biotech and AI startup founded by Naveena Allampalli, is pioneering a first-of-its-kind unified intelligence platform to transform the rare disease ecosystem—starting with early diagnosis, real-time clinical monitoring, and AI-driven research acceleration. was born from the extraordinary journey of Adi—the first child in Texas, and one of the first in the world, to receive a breakthrough gene therapy for a rare condition. Behind him is his mother, Naveena Allampalli—an award-winning AI leader who transformed personal pain into a purpose-driven mission. Aligning with Geoffrey Hinton's foreshadowed recommendations, Naveena expressed in her presentation the essence of a mother's instinct to find a solution not only to benefit her child but the masses that may experience similar challenges. Just as a mother ensures no child is left behind, a Mother AI would ensure no patient is left behind—regardless of geography, income, or demographic. 'We're gonna get much better cancer treatments…AI discovered all sorts of things in images that Ophthalmologists didn't know was there, it going to be the same with cancers…'- Dr. Geofrrey Hinton, AI4 2025 In the race to build smarter AI, we cannot forget to make it wiser. A Mother AI isn't just a technological safeguard—it's a philosophical choice to put care, ethics, and collective progress at the heart of machine intelligence, especially across industries such as digital health.