Lenovo and Nutanix have announced an expanded partnership to deliver AI-ready hybrid cloud solutions tailored for India’s booming digital economy. Speaking at Nutanix’s .NEXT on Tour event in Mumbai, the companies underscored their long-term collaboration (since 2016) and shared vision: bringing high-performance, locally manufactured infrastructure to Indian enterprises. Lenovo’s “Make in India for India” strategy means new servers built at its Puducherry plant are now liquid-cooled and pre-loaded with Nutanix software, enabling faster AI and data workflows. In other words, Indian organizations will soon deploy cloud-native apps and generative AI projects on hardware made locally – from core data centers all the way out to edge locations – with the same unified software stack everywhere. This close engineering ties means CX (customer experience) teams can spin up new data-intensive services – say, personalized banking apps or intelligent customer chatbots – faster and more reliably than before.
Moreover, Lenovo’s Pondicherry facility now builds GPU-accelerated rack servers for global use. These systems incorporate Lenovo Neptune® liquid-cooling to push performance while slashing energy use. In fact, Lenovo’s 6th‑Gen Neptune cooling “solves power limits” for AI workloads by using warm-water heat removal – boosting performance and cutting power use up to 40%. For example, a Harvard research cluster saw 4× higher performance in the same rack after switching to Neptune cooling. This means enterprises can run larger AI models or more compute in the same space – and spend far less on electricity and cooling. For CX professionals, that translates to smoother digital experiences (less chance of slowdowns or outages) and a greener, cost-efficient IT bill that frees budget for innovation.
Unified Multicloud Software Platform
Meanwhile, Nutanix brings its unified multicloud software platform to these Lenovo systems. The Nutanix Cloud Platform (NCP) acts like an invisible “underlayer” that runs on every ThinkAgile HX appliance. It lets IT teams manage VMs, containers and data consistently on-premises or in public clouds. As Nutanix notes, NCP “enables organizations to run applications and manage data anywhere” – including AWS, Azure and Google Cloud – and it even supports external storage and Kubernetes for cloud-native apps. In practice, this means a developer can build a cloud-native service once and deploy it on Lenovo hardware at headquarters, on a remote branch office server rack, or spill over into AWS seamlessly, all without learning new tools.
Lenovo’s ThinkAgile HX series illustrates this integration. These turnkey appliances ship with Nutanix software pre-installed, offering “a seamless hybrid multicloud solution providing simplicity and freedom to harness the power of AI with flexibility, scalability, and security across workloads from edge to cloud”. In short, a business can plug in a ThinkAgile HX cluster and immediately have a private cloud that also coordinates with public clouds and Kubernetes. Containers and apps become portable: ThinkAgile HX supports multi-hybrid connectivity so that organizations can “adopt cloud-native containerized applications which they can easily lift and shift across different cloud deployments”. This removes a lot of the integration headaches (and costs) that typically come with juggling disparate cloud environments.
Image: Lenovo’s ThinkAgile HX appliances (conceptual Lenovo art) combine on-prem servers with Nutanix software and cloud icons.
Enterprise AI Solutions
Beyond infrastructure, enterprise AI solutions are a focal point. Lenovo and Nutanix have co-engineered AI “factories” so organizations can build their own generative AI capabilities in a controlled, on-prem environment. For example, Nutanix’s GPT-in-a-Box platform is now validated on Lenovo ThinkAgile HX appliances. GPT-in-a-Box is a full-stack AI-ready solution that packages hardware, software, data services, and pre-trained LLMs so companies can deploy and fine-tune large language models on site or at the edge. In Nutanix’s words, this lets “enterprises run and fine-tune AI and GPT models at the edge or in their data center while maintaining complete control over their data”. Lenovo’s Amit Luthra highlights this capability: with locally built, Neptune-cooled servers and GPT-in-a-Box software, “Indian enterprises can now set up AI factories that combine performance, efficiency and scalability,” extending from edge nodes to cloud cores.
Jointly, Lenovo/Nutanix solutions tackle the heavy lifting of AI workflows. The ThinkAgile HX V4 generation, for instance, is billed as “the industry’s first liquid-cooled HCI appliance for GenAI”. It comes pre‑integrated with GPT-in-a-Box 2.0 software, and is engineered to run multi-GPU setups optimized for inference, training and fine-tuning. Lenovo claims these HX systems cut power consumption by about 25% thanks to Neptune cooling. Meanwhile, Nutanix Enterprise AI (NAI) stack provides the software layer: NCP plus Nutanix Files/Object storage, the AHV hypervisor, Kubernetes, and NVIDIA GPU support all come bundled for a turnkey AI environment. In short, a corporation can order a Lenovo ThinkAgile HX rack, load it with Nutanix’s AI suite, and quickly stand up a private AI cluster – avoiding the months-long integration project it would normally take.
Integrated Features
Key joint capabilities: Lenovo and Nutanix are emphasizing several integrated features that directly improve operations and customer outcomes:
- Built-in High Performance: ThinkAgile HX runs on Lenovo’s top-ranked servers (consistently rated #1 in x86 reliability), and supports double-wide GPUs for AI training. Neptune cooling boosts clock speeds while conserving energy. This means customer-facing services (like real-time personalization, fraud detection, or recommendation engines) can run with lower latency and less risk of thermal throttling.
- AI-Ready Turnkey Stack: The NVIDIA-certified stack (GPT-in-a-Box + NCP + storage + GPU) is pre-validated, simplifying AI deployments. For CX teams, this cuts time-to-market for new AI-driven features (e.g. smart assistants or data analytics). Because data never leaves the enterprise zone, privacy and compliance are maintained.
- Container and Kubernetes Support: Nutanix Kubernetes Platform (NKP) is part of the solution, so organizations can orchestrate microservices with persistence, DR, and scale. Regulated industries (like BFSI and healthcare) often require on-prem/hybrid models, and NKP on Lenovo HCI gives them cloud-native agility without sacrificing data control.
- Cost Efficiency and ROI: Lenovo cites large savings from the combined stack: ThinkAgile HX with Nutanix can slash TCO and yield huge returns. In fact, Lenovo claims “up to 61% reduced total cost of ownership, yielding a five-year ROI of 418%”. In earlier marketing, Lenovo even quoted up to 79% infra cost reduction with hybrid cloud. Lower power bills (thanks to Neptune) and simpler management also shrink OPEX. For CX organizations, that means more budget to invest in innovation (like mobile apps or UX improvements).
Partnership Bearing Fruit
By late 2025, this partnership was bearing fruit in India. Lenovo earned Nutanix’s APJ OEM Award FY25, reflecting strong sales of these joint solutions locally. Nutanix, meanwhile, reports commanding market share: it was ranked #1 HCI software vendor in India for Q4 2023 with a 53% share. That dominance isn’t accidental – Nutanix proudly supports 8 of India’s top 10 banks, along with leaders in telecom, IT services and public sector. These references show Indian enterprises trust the Lenovo+Nutanix stack for critical workloads that directly affect end customers (e.g. banking apps, online portals, CRM systems).
Overall, what this means for CX professionals is a stronger foundation for digital experience initiatives. With Lenovo/Nutanix infrastructure, teams can:
- Rapidly Prototype New Services: The pre-integrated AI stack lets developers treat new AI services “like any other app” on Nutanix. Rather than wrestling with hardware configs, data policies or compliance issues, developers focus on customer features – from intelligent chatbots to personalized recommendations – and deliver them faster.
- Ensure Consistency and Reliability: A unified hybrid cloud platform enforces consistent environments across branches and cloud zones. This reduces variability in performance and uptime, meaning customers get a reliable experience (e.g. banking app stays responsive even under load).
- Maintain Data Control: Keeping AI and analytics on-premises or in approved clouds helps meet data privacy requirements. This is crucial for customer trust in sectors like finance and healthcare. Lenovo/Nutanix’s focus on data services and disaster recovery (persistent storage, backups, failover) means customer data is safer and always available.
- Optimize Costs for Better CX Investment: By cutting power and infrastructure waste, more resources are freed up to invest in UX improvements or customer support. In fact, Lenovo highlights sustainability gains from Neptune cooling, aligning with corporate ESG goals (which increasingly matter to customers).
Alliance Aligns
From a strategic standpoint, the Lenovo-Nutanix alliance aligns with India’s push to become a tech manufacturing and AI hub. The “Atmanirbhar Bharat” initiatives and PLI incentives encourage such local production. This partnership embodies those policies: technology built in India, for Indian and global markets. It also signals confidence to CX leaders that cutting-edge AI infrastructure isn’t locked overseas – support and customization are local.
In closing, the joint Lenovo-Nutanix offering is more than vendor hype. It leverages recognized platforms and market positions: Lenovo’s servers and Neptune cooling (award-winning in HPC) combined with Nutanix’s Gartner-recognized hybrid cloud software. For CX professionals, that translates to two trusted companies working together – not just piece-mealed solutions. Nutanix’s leadership in hybrid infrastructure (“leader in the 2025 Gartner MQ for Distributed Hybrid Infrastructure”) and Lenovo’s expertise in hardware reliability and services converge here.
In the data-driven, AI-hungry Indian market, this partnership equips companies to deliver richer customer experiences: faster app rollouts, smarter services, and more resilient operations. Prebuilt, locally supported infrastructure gives businesses a competitive edge as generative AI and multicloud computing become essentials. Enterprises can thus focus on innovating their customer journeys, knowing that the underlying AI platform – made in India and powered by Lenovo and Nutanix – is robust and future-ready.
