Lenovo unveiled a new innovation at the just-concluded NVIDIA GTC global AI conference in San Jose, Costa Rica, with the purpose of enhancing fans’ experience in glob sports. The new Lenovo Hybrid AI Advantage is an agentic AI and hybrid AI factory platforms that include NVIDIA Blackwell Ultra support, ushering in the new age of AI reasoning through faster deployment of customised AI agents.
With NVIDIA solutions, the agentic is designed to accelerate AI adoption, reduce time-to-first-token (TTFT), and deliver measurable business results across personal, enterprise, and cloud environments.
The tech firms say the tool helps operationalise AI through faster deployment and real-time inferencing across workstations, edge, data centres, and emerging AI factories Building on the inferencing acceleration introduced at Lenovo Tech World, this next phase of Hybrid AI execution expands the Lenovo Hybrid AI Advantage™ with NVIDIA from device to data centre to gigawattscale AI cloud deployments, enabling real-time decisionmaking, operational efficiency, and intelligent automation across industries at global scale.
As AI moves from training models to powering real-time decisions, inferencing has become the new frontier of enterprise value—and organisations need infrastructure that delivers both securely spanning edge, data center, and cloud.
According to the CIO Playbook 2026 commissioned by Lenovo and conducted by IDC, 84 percent of organisations expect to run AI across on-premises or edge environments alongside the cloud—accelerating demand for validated hybrid AI platforms built for production-scale inferencing.
“Together, Lenovo and NVIDIA are uniquely positioned to help organisations operationalise AI—from experimentation to enterprise production to AI cloud gigafactories. “As agentic AI drives exponential growth in inferencing workloads, cost control and performance per token become mission-critical.
By combining NVIDIA AI Enterprise software with Lenovo’s full-stack hybrid AI platforms and services, we enable customers to scale AI with greater efficiency, lower cost per token, and faster time-to-production,” said Lenovo chairman and chief executive, Yuanqing Yang
