Lenovo presented during NVIDIA GTC several new Lenovo Hybrid AI Advantage™ solutions with NVIDIA. Solutions are designed to accelerate AI adoption, reduce time-to-first-token (TTFT), and deliver measurable business results across client, enterprise, and cloud environments.
As AI moves from training models to driving real-time decisions, inference has become the new driver of value for businesses, creating a need for an infrastructure that securely spans the edge, data center, and cloud. According to Lenovo’s latest report CIO Playbook 2026 conducted by IDC, 84 percent of companies surveyed expect to use AI in both on-premises data centers, edge environments, and the cloud, increasing demand for validated hybrid AI platforms that can handle inference at production scale.
“Together, Lenovo and NVIDIA are uniquely positioned to help enterprises adopt AI, from experimentation to production and on to large-scale AI factories in the cloud,” said Mike Creutzer, Nordic Head of Infrastructure Solutions Group at Lenovo. As agent-based AI drives a significant increase in inference workloads, cost control and performance per token are becoming critical factors. With NVIDIA’s fast computing and Lenovo’s end-to-end solutions for hybrid AI platforms, customers can now scale AI with greater efficiency, lower cost per token and faster time to market.
AI development and inference regardless of work environment
Lenovo enables real-time AI development and inference with next-generation portable and desktop workstations powered by NVIDIA RTX Pro Blackwell:
- NVIDIA RTX PRO Blackwell Generation Laptop GPUs in the next generation of Think laptops from Lenovo, which include the ultralight ThinkPad P14s Gen 7, ThinkPad P16s Gen 5 and the premium ThinkPad P1 Gen 9.
- Up to two NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition GPUs in the ThinkStation P5 Gen 2 desktop computer.
- AI development device capable of handling AI models with up to 200 billion parameters and delivering 1 petaflop of AI compute capacity, making the ThinkStation PGX well-suited for secure, private, and local AI development and inference.
- Lenovo AI Developer, a full-stack AI development suite and expertly designed reference architectures that enable data scientists and AI developers to improve, scale and secure their AI workflows.
- Lenovo Imaging Services for Devices, pre-configured to simplify deployment, reduce the burden on the IT organization, and ensure your entire PC fleet is ready to use from day one.
- The world's first proof-of-concept for a laptop battery with an energy density of 1,000 Wh/L based on silicon anode, with a capacity of up to 99.9 Whr, providing longer battery life and higher performance without increasing the size of the device.
For more information about Lenovo's next-generation work computers, see here.
Production-ready AI platforms for real-time inference
Lenovo AI servers with NVIDIA technology and hybrid AI platforms now delivers return on investment (ROI) in less than six months and up to eight times lower cost per token compared to equivalent cloud-based IaaS.1
New inference-optimized Lenovo ThinkSystem and ThinkEdge servers, combined with enhanced hybrid AI platforms and integrated partner solutions, enables real-time AI inference in industries such as retail, manufacturing, healthcare, sports, and smart cities.
The expanded server portfolio includes NVIDIA Certified Systems integrated with the software NVIDIA AI Enterprise, and includes:
- Two Lenovo hybrid AI platforms: one with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs for scalable AI and multimodal inference, as well as one based on NVIDIA Blackwell Ultra. The latter is among the first systems to be certified by NVIDIA's design review board for AI training in enterprise environments.
- Lenovo hybrid AI inference launch platform with NVIDIA RTX PRO 4500 Blackwell Server Edition delivering up to three times higher performance for video and data processing and four times better performance for content generation compared to NVIDIA L4 in single-node installations.
- Lenovo ThinkAgile HX650a with Nutanix Enterprise AI and Nutanix Kubernetes Platform, providing a validated foundation for secure inference and agent-based workloads.
- Lenovo's hybrid AI platforms with Cloudian enable scalable and superior data pipelines, while Veeam Kasten offers Kubernetes-based protection to secure AI models and services.
These solutions are supported by an expanded global collaboration with IBM Technology Lifecycle Services to accelerate the adoption of hybrid AI worldwide.
Lenovo AI Library Expansion: Industry-Ready AI Solutions at Scale
Lenovo is expanding the Lenovo AI Library with new agent-based and physical AI solutions based on Lenovo Hybrid AI Advantage with NVIDIA.
Lenovo Hybrid AI Services enables new agent-based solutions for sports and retail, including fan engagement agents and in-store and online smart assistants, powered by the Lenovo xIQ Agent Platform. The solutions integrate with enterprise systems to deliver real-time insights, personalized customer experiences and increased operational efficiency.
In manufacturing and industrial environments, Lenovo's physical AI solutions combine robotics, edge AI, and multimodal sensor technology to automate inspection processes, improve quality control, increase worker safety, and reduce downtime.
Powering the next generation AI cloud with NVIDIA Rubin
Lenovo helps customers manage data in gigawatt scale with next-generation NVIDIA Vera Rubin platforms. As a launch partner for NVIDIA Vera Rubin NVL72 Lenovo delivers fully liquid-cooled rack-scale AI systems designed for faster deployment and significantly improved token economics. These systems achieve up to 10x higher throughput and up to 10x lower cost per token compared to previous generations.2
Lenovo also introduces systems based on NVIDIA HGX™ Ruby NVL8 and collaborates with NScale to power hyperscale AI implementations optimized for large-scale inference and emerging agent-based workloads.
Supported by Lenovo Hybrid AI Factory Services, these platforms combine lifecycle management, global implementation expertise, and operational optimization, helping AI cloud providers move from build to monetization faster with lower risk.
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