Lenovo today announced the expansion of the Lenovo Hybrid AI Advantage™ with a portfolio of AI inferencing and agentic AI innovations designed to help organizations deploy AI agents faster, reduce token costs, and run AI economically from device to AI factory. As AI moves from model training to continuous inference and autonomous execution, enterprises face a new challenge: how to deliver intelligence at scale while achieving sustainable costs. Organizations need the flexibility to run AI where data is created and decisions are made—on AI PCs, devices, and workstations; in the data center; or in the cloud.
Lenovo expands Hybrid AI Advantage with inferencing innovations reducing costs up to 8X versus cloud IaaS.
New CPU-only Hybrid AI Platform with Red Hat processes ~2x more AI requests concurrently.
One-click deployment of autonomous and long-running agents for enterprise use cases.
92% of organizations deploying agentic AI report costs exceeding expectations per industry research.
Lenovo ThinkStation PGX provides simplified development environment with NVIDIA NemoClaw blueprints.
Knowledge Super Agent solutions demonstrate savings of thousands of employee hours.
As hybrid AI inferencing becomes the primary driver of enterprise AI spending, Lenovo is expanding its Hybrid AI portfolio with new inference-optimized platforms. Through collaboration with ecosystem leaders including NVIDIA, Intel, Red Hat, and Canonical, Lenovo is delivering open, scalable solutions that simplify AI deployment with only a few clicks, accelerate time-to-value, and improve AI economics across hybrid environments. Industry research shows that 92% of organizations deploying agentic AI report costs exceeding expectations. Lenovo's inference-optimized architecture helps address these challenges by delivering high-performance CPU-based inferencing, scalable infrastructure, and improved token economics. For AI workloads requiring sustained CPU and GPU utilization, Lenovo solutions can deliver up to 8X lower cost per token than cloud-based infrastructure-as-a-service environments and up to 18X lower cost per million tokens compared with model-as-a-service APIs.
The new CPU-only Lenovo Hybrid AI Platform with Red Hat is an inference-first solution built on Red Hat AI Enterprise and powered by Intel Xeon 6 processors with integrated AI acceleration. Designed to process ~2x more AI requests concurrently, the new platform delivers higher throughput, lower latency, and accelerated time-to-first-token for enterprise AI workloads such as retrieval-augmented generation (RAG), HR support and customer service assistance. By combining Lenovo servers, storage, and Red Hat AI Enterprise into a validated architecture, organizations can deploy and scale private AI while maintaining security, governance, operational control, and cost efficiency across on-premise and hybrid cloud environments.
The new Lenovo Hybrid AI Platform (221) is available with two configurations based on AI maturity. The Canonical solution uses Canonical Ubuntu and Canonical Kubernetes architectures designed for speed, cost efficiency, and data sovereignty. The automated AI stack enables developers to easily and rapidly build, test, and deploy private AI-powered applications, copilots, and personalized experiences. The Red Hat AI Enterprise solution is designed for enterprises moving AI into protected, governed production with full lifecycle management and scalability, enabling IT teams to deploy, manage and scale inference and agentic AI workloads across environments with consistency and safeguards. Together, these platforms advance Lenovo's vision of bringing intelligence closer to users, data, and business processes while optimizing performance, governance, and cost.
Building on this inferencing foundation, Lenovo is introducing new agentic AI capabilities designed to help organizations increase productivity and reduce operational complexity. With one-click deployment of autonomous and long-running agents, Lenovo ensures customers have everything they need from the desktop to the data center to start harnessing value with agentic AI and realize measurable business outcomes. Key enterprise use cases include helping employees find information faster and spend less time searching across disconnected systems through Knowledge Super Agent use cases, reducing the burden on IT teams by automating routine operational tasks with NVIDIA NemoClaw skills for AIOps, co-developing autonomous AI agents with customers globally, and lowering barriers to AI adoption through new personal AI Factory environments on Lenovo ThinkStation PGX.
As organizations confront increasing concerns around data privacy, governance, and AI security, Lenovo's AI infrastructure portfolio continues to advance a trust-by-design approach to AI deployment, keeping humans in control—from experimentation through autonomous execution. New capabilities include Nutanix Compute only Cluster on Lenovo ThinkSystem Servers for enterprise-grade virtualization, Lenovo XClarity One delivering unified zero-trust management, and supply chain and hardware root-of-trust protections that help organizations maintain compliance and governance requirements. Ashley Gorakhpurwalla, President of Infrastructure Solutions at Lenovo, stated: "As captured by the Lenovo CIO Playbook 2026, 94% of organizations are planning to increase their AI investment over the next year, and enterprises are moving beyond AI experimentation and demanding measurable business outcomes. 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."
About Lenovo
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Guided by its vision of "Smarter Technology for All", Lenovo is executing a Hybrid AI strategy that spans Personal AI – one personal AI, multiple devices; and Enterprise AI – helping customers turn data into insights and value. This strategy is delivered through the Group's commitment to world-class innovation and a full-stack AI portfolio, including devices (PCs, workstations, smartphones, tablets, accessories), infrastructure solutions (server, storage, edge, high performance computing and software defined infrastructure), as well as software, solutions, and services.
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