Nikon has released nine free Image Recipes developed in collaboration with RED, bringing cinema-inspired color profiles to the Nikon ZR, Z6 III, Z50 II, Z5 II, and Zf cameras via the Nikon Imaging Cloud.
New Lenovo ThinkSystem and ThinkAgile storage and virtualization infrastructure solutions provide optimal performance, security and efficiency for the most demanding AI and enterprise workloads
New Lenovo ThinkSystem DS Series Storage Arrays provide simple deployment and management for virtualized environments running mission-critical enterprise workloads
New Lenovo ThinkAgile FX Series provides maximum flexibility and investment protection with a multi-vendor hyperconverged infrastructure (HCI) appliance.
Tailored Lenovo Hybrid Cloud Advisory and Deployment services leverage structured and unstructured data to achieve business outcomes with AI
December 10, 2025 – Lenovo today announced an expansive series of new data storage, virtualization solutions and data management services, designed to help customers modernize their IT and data infrastructure for powering enterprise applications and AI ready capabilities. Today’s new offerings include new Lenovo ThinkSystem and ThinkAgiledata storage and virtualization solutions, announced in tandem with data management services. Designed to provide a modern foundation for enterprises and mid-size businesses achieving AI innovations, this announcement combines complementary hardware, software and services offerings to help deploy, manage, and unleash the true potential of enterprise data.
“Sixty-three percent of organizations either do not have or are unsure if they have the right data management practices for AI, according to a survey by Gartner ®.”1Customer unique data is the differentiation that will drive their competitive advantage and most accurate results, however 80% of storage deployed in the last 5 years is on slower hard drive-based storage (according to IDC reporting) that is not optimized for AI. At the same time, customers are challenged with new virtualization and containerization requirements that demand open solutions.Businesses must mitigate this risk by ensuring their enterprise data systems and practices are modernized for advanced use cases.
“With disruptions in enterprise virtualization strategies and the mandate to make their data ready for the most demanding workloads, organizations are looking to modernize their legacy infrastructure with open solutions,” said Stuart McRae, Executive Director and General Manager of Data Storage at Lenovo. “These new offerings provide the security, flexibility, and performance to optimize enterprise applications and power enterprises to extract maximum value from data.”
Flexibility and Choice for Virtualization and Data Needs
Businesses today need the efficiency and cyber resiliency of their systems to run parallel to performance, simplicity, and scalability with an option to deploy on-prem and hybrid so that the data can stay in place for compliance while AI workloads run where appropriate. Lenovo has introduced new Lenovo ThinkSystem and Lenovo ThinkAgile Enterprise offerings optimized or AI, virtualization and storage bottlenecks, including:
Lenovo ThinkSystem DS Series Storage Arrays: All-flash and protected Storage Area Network (SAN) block storage systems that are simple to deploy and manage for virtualized environments, improving performance and efficiency for virtualization and data modernization.
Lenovo ThinkAgile FX Series: Hyperconverged Infrastructure (HCI) that delivers an open architecture that supports seamless conversion between select HCI solutions without replacing hardware, delivering maximum investment protection and flexibility.
Lenovo ThinkAgile MX Series for disaggregated storage for Microsoft Azure Local: As a hyperconverged infrastructure (HCI) integrated appliance provider with Microsoft, we are expanding support for disaggregated external Fibre Channel Storage Area Networks (SAN to deliver greater enterprise storage support for virtualization customers.
Lenovo ThinkAgile MX Series with NVIDIA RTX Pro 6000: Integrated next generation GPU support to power advanced AI performance capabilities for enterprise inferencing with Microsoft Azure Local.
Lenovo ThinkAgile HX Series for AI Lenovo’s HCI offering features Nutanix Enterprise AI (NAI) software stack to enable customers running in virtualized and distributed containerized environments to deploy, run, and scale AI models in minutes.
Complete Lifecycle Services Optimized for Advanced Workloads including AI
To help customers fully realize the benefits of their new systems and prepare their data for AI, Lenovo is extending this momentum with a broad portfolio of hybrid cloud and data lifecycle services designed to modernize environments, strengthen reliability, and support evolving storage and AI workload requirements. This portfolio includes Lenovo Deployment Services for ThinkAgile and ThinkSystem that help organizations accelerate time to value through more efficient infrastructure rollout, alongside a range of storage services that can be consumed individually or through Lenovo’s flexible TruScale model to enhance performance, agility, and innovation across the data storage lifecycle.
To guide long-term strategy, Lenovo’s Hybrid Cloud Advisory Services help customers align on-prem or hybrid environments with compliance, data protection, and operational efficiency. Lenovo’s Migration Services help organizations optimize data and workloads by combining cloud flexibility with the dependability of existing infrastructure.
As part of Lenovo’s expanded Data Management Services portfolio, Lenovo Premier Enhanced Storage Support delivers a specialized, storage-focused experience for IT teams managing critical workloads. With direct access to Lenovo experts, customers benefit from proactive monitoring, performance optimization, and guided issue resolution—helping ensure systems run reliably, are better protected, and maintain the resilience needed to support AI innovation and hybrid cloud growth.
Explore how Lenovo is powering the future of Enterprise AI and Storage at https://www.lenovo.com/datastoragesolutions.
About Lenovo
Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 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.
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The question “what present do you recommend for …” will be tapped into phones and computers countless times over this festive period, as more people turn to AI platforms to help choose gifts for loved ones.
With a quarter of Britons using AI to find products, brands are increasingly adapting their strategies to ensure their products are the ones recommended, especially those trying to reach younger audiences.
But can AI offer thoughtful, personal suggestions for friends and family? The Guardian put the idea to the test.
First we tried asking for possible gifts for a middle-aged man who enjoys running and photography. The market-leading chatbot ChatGPT suggested: a Canon lens for £129 from Argos; a Koospur tennis racket sensor tracker for £71.72 on Amazon; and a Boondocker recycled camera bag for £34.98. The AI platform insisted the “ideal present” would be the camera bag, plus maybe the tennis sensor tracker. It also threw in experience ideas such as tennis coaching, whisky tasting or live music.
When asked to work with a more restricted budget it suggested tennis racket-emblazoned socks for £18, which were ugly and definitely not worth the high price tag.
The answers skewed heavily towards big online retailers, with seven of the nine initial suggestions from Amazon. Asking for ideas from more niche companies led to a minimalist tennis court print for £30 from a website called the Smart Party Shop and vague advice to buy from “Etsy or Not On the High Street-type sellers”.
Searching for a woman who likes beauty products, DIY and fitness again produced some middle-of-the-road suggestions. However, with a nudge for more cult picks it steered towards a £17.50 Odylique rose moisturiser gift set, which it described as “luxurious but not mainstream”. It also put forward a £30 Floris sandalwood and patchouli-scented candle, which it claimed was “more personal than just another lipstick”.
When asked to recommend DIY tools, it suggested a small, pink kit with some rather useless-looking pliers, rather than the usual all-purpose devices such as drills, sanders and staple guns – a sign that the longstanding complaint that AI reinforces gender stereotypes remains.
The Guardian then instructed the AI to try shopping locally, using the example of homeware ideas in south London. ChatGPT said to try ALKEMI, an independent lifestyle store in Nunhead. When the area was narrowed down to Herne Hill it suggested two shops: Jo’s House and Forget Me Not And Green.
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Trying other AI models did not appear to vary the quality of responses much. Searching on Google’s Gemini for gifts for a man who likes chess, video games, reading and music, specifically techno and house threw up these top suggestions: a book on chess strategy for £22; a £50 Bandcamp gift card; or a hot sauce tasting kit for about £30-£40.
So what were the main takeaways from the exercise? AI seems to favour bigger brands (especially Amazon) unless you tell it not to. It can find you a gift, just not necessarily one that says anything more than “an algorithm picked this”. Perhaps you’ll have a bit more luck if you are willing to spend the time to steer it towards more relevant answers, but then it sort of defeats the point.
