Lenovo expands Hybrid AI portfolio with new inferencing and agentic AI solutions for enterprises

Lenovo has expanded its Hybrid AI Advantage portfolio with new inferencing platforms and agentic AI capabilities aimed at helping enterprises deploy AI faster, reduce operational costs, improve token economics, and strengthen governance across hybrid IT environments.

Lenovo has unveiled an expanded portfolio under its Hybrid AI Advantage platform, introducing new AI inferencing infrastructure and agentic AI capabilities designed to help enterprises accelerate AI adoption while lowering operational costs. The latest offerings aim to simplify AI deployment across devices, data centres and cloud environments as organizations increasingly shift from AI experimentation to production-scale implementation.

The announcement comes as enterprises focus on continuous AI inferencing and autonomous execution rather than model training alone. Lenovo said its hybrid AI factory approach enables organizations to run AI closer to where data is generated, allowing businesses to optimize performance, security, governance and infrastructure costs.

“As captured by the Lenovo CIO Playbook 2026, 94% of organizations are planning to increase their AI investment over the next year1, and enterprises are moving beyond AI experimentation and demanding measurable business outcomes,” said Ashley Gorakhpurwalla, President of Infrastructure Solutions at Lenovo. “Lenovo is uniquely positioned to help customers deploy AI where it creates the greatest value—while dramatically improving token economics, accelerating time-to-value, and maintaining the trust, security, and governance organizations require.”

New AI platforms focus on faster inferencing

To support growing enterprise demand for AI inferencing, Lenovo has introduced new inference-optimized platforms developed in collaboration with NVIDIA, Intel, Red Hat and Canonical.

Among the key announcements is a CPU-only Lenovo Hybrid AI Platform built with Red Hat AI Enterprise and powered by Intel Xeon 6 processors. Lenovo said the platform is designed to process nearly twice as many AI requests concurrently while improving throughput, lowering latency and accelerating time-to-first-token for enterprise workloads such as retrieval-augmented generation (RAG), customer support and HR applications.

The company also introduced the Lenovo Hybrid AI Platform (221), available in two configurations based on an organization's AI maturity.

One version, developed with Canonical, combines Ubuntu and Kubernetes architectures to provide developers with an automated environment for building, testing and deploying private AI applications and copilots. The second configuration, based on Red Hat AI Enterprise, is intended for organizations deploying governed AI workloads into production, offering lifecycle management and scalability across hybrid environments.

According to Lenovo, the expanded portfolio is designed to address growing concerns around AI infrastructure costs. Citing industry research, the company said many organizations deploying agentic AI are experiencing higher-than-expected costs. Lenovo claims its optimized infrastructure can deliver significantly lower cost per token compared with cloud infrastructure-as-a-service and model-as-a-service offerings for suitable AI workloads.

Agentic AI capabilities aim to improve productivity

Alongside the infrastructure updates, Lenovo introduced new agentic AI capabilities intended to simplify enterprise AI deployment through one-click implementation of autonomous AI agents.

The company plans to expand AI-powered enterprise use cases, including knowledge assistants that enable employees to search and synthesize information across multiple enterprise systems through a single interface. Lenovo said these solutions have demonstrated substantial productivity gains by reducing time spent searching for information.

Lenovo is also developing AI Operations (AIOps) capabilities using NVIDIA NemoClaw skills to help IT teams automate routine operational tasks, identify issues earlier and accelerate troubleshooting.

In addition, the company is co-developing autonomous AI agents and enterprise AI skills with customers worldwide using NVIDIA NemoClaw frameworks. To further simplify AI development, Lenovo has introduced personal AI Factory environments on the ThinkStation PGX platform, enabling developers to build and test AI applications before scaling deployments to production.

The ThinkStation PGX is positioned as both an entry point and endpoint for local AI execution, providing organizations with a pathway from proof-of-concept projects to enterprise-scale AI deployments. Lenovo said initial customer engagements will focus on co-development programmes to validate business outcomes.

The company is also extending agentic AI to industry-specific use cases, including retail, where an AI-powered kiosk is being developed to assist shoppers with product discovery, inventory checks, promotions and personalized recommendations while helping retailers improve operational efficiency.

Strengthening AI governance and security

Alongside its AI innovations, Lenovo announced new infrastructure capabilities aimed at strengthening security, governance and compliance for enterprise AI deployments.

The latest additions include Nutanix Compute Only Cluster on Lenovo ThinkSystem servers, providing a CPU-only virtualization platform intended to reduce infrastructure complexity while maintaining enterprise performance.

The company also introduced Lenovo XClarity One, a unified platform that offers zero-trust management, automation and infrastructure visibility across hybrid environments. Additional hardware root-of-trust and supply chain security capabilities are designed to help organizations meet compliance and governance requirements as AI deployments continue to expand.

Lenovo said its integrated approach combines infrastructure, software, services and AI solutions to help enterprises deploy AI securely while maintaining greater control over data, governance and operational efficiency.