Lenovo launches news in Lenovo Hybrid AI Advantage™, focusing on AI inference and agential AI to help enterprises deploy AI agents faster, lower token costs, and cost-effectively power AI from individual devices to AI factories and data centers.
As AI evolves, a new challenge arises for businesses: how to deliver AI at scale in a financially sustainable way? Businesses need to enable AI implementation where data is created and decisions are made – on AI computers, devices, in the data center, or in the cloud. Lenovo's Hybrid AI Factory enables inference across the entire ecosystem, allowing AI to be placed closer to companies' data, users and business processes while optimizing performance, cost, security and governance.
– For many IT leaders in Europe and the Middle East, AI is not about a technical challenge. It is about a financial challenge. Organizations have proven the value of AI through pilots, but scaling it across the business requires a completely different approach when it comes to costs, governance and data control, says Per Overgaard, Executive Director, Europe and the Middle East Infrastructure Solutions Group, Lenovo. The focus is shifting from maximizing resources to maximizing outcomes as IT leaders face increasing pressure to demonstrate measurable business value from AI investments. Lenovo’s latest solutions help customers deploy AI closer to their data, users and business processes, improving performance, control and cost-effectiveness across the hybrid AI operating model.
Scalable AI inference with lower costs
Lenovo is expanding its hybrid AI solution offering with new platforms optimized for inference. By partnering with leading players such as NVIDIA, Intel, Red Hat and Canonical, Lenovo is delivering scalable solutions that simplify AI implementation to just a few clicks, accelerate time to ROI and improve profitability for hybrid AI environments. This aligns with Lenovo’s vision to bring AI closer to users, data and business processes, while optimizing performance, governance and cost.
The news based on Lenovo Hybrid AI Advantage™ and supported by flexible operating and user models, addresses the growing challenges around cost control, adoption and return on AI investments. Industry Research2 shows that 92 percent of organizations implementing agent-based AI experience cost overruns. Lenovo's inference-optimized architecture alleviates these challenges through high-performance CPU-based inference, a scalable infrastructure, and improved token economics. For AI workloads that require continuous CPU and GPU utilization, Lenovo's solutions offer up to 8x lower cost per million tokens than Infrastructure-as-a-Service environments. Compared to Model-as-a-Service APIs3 The cost can be up to 18 times lower, helping companies implement and scale AI more efficiently.
Agentic AI with easier deployment
Lenovo is also introducing new agent-based AI capabilities designed to increase enterprise productivity and reduce operational complexity. With a single click, autonomous and long-lived agents can be deployed – giving customers everything they need to start leveraging agent-based AI and achieve measurable business value – from the desktop to the data center.
Safe AI with built-in control
As organizations face increasing challenges around data protection, governance and AI security, Lenovo’s AI infrastructure portfolio continues to promote a ”trust-by-design” approach to AI implementation, with a focus on keeping humans in control from the experimental stage to autonomous execution.
About Lenovo
Lenovo is a global company with revenues of $83 billion. It is ranked number 196 on the Fortune 500 list of the world's largest companies, and serves millions of customers every day in 180 markets around the world. Focused on a bold vision to deliver smarter technology for everyone, Lenovo has built on its success as the world's largest PC company through a user-friendly pocket-to-cloud portfolio of AI-enabled, AI-ready and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (data center, storage, edge, high-performance computing and software-defined infrastructure), software, solutions and services.
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