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Lenovo unveiled an expanded suite of hybrid artificial intelligence solutions developed in collaboration with NVIDIA, aimed at accelerating enterprise adoption of production-ready AI across edge, data center and cloud environments.
Announced at NVIDIA GTC, the new offerings build on Lenovo’s Hybrid AI Advantage with NVIDIA, extending capabilities from AI inferencing to large-scale AI cloud deployments, including so-called “AI factories.” The initiative is designed to help enterprises move beyond pilot projects to real-world AI deployment with faster time-to-value and improved operational efficiency.
The move comes as enterprises increasingly shift focus from AI model training to inferencing—where models generate real-time insights—driving demand for scalable, secure infrastructure.
Focus on Real-Time AI and Enterprise Deployment
Lenovo said its latest solutions are tailored to support production-scale AI workloads, with platforms optimized for real-time decision-making and automation across industries such as retail, manufacturing, healthcare and smart cities.
“Together, Lenovo and NVIDIA are uniquely positioned to help organizations operationalize AI—from experimentation to enterprise production,” said Yuanqing Yang, highlighting the growing importance of cost efficiency and performance in AI deployments.
The portfolio includes new AI inferencing platforms powered by NVIDIA software, hybrid AI infrastructure, and AI-ready servers designed to deliver higher throughput and lower cost per token. According to Lenovo, the solutions can reduce AI deployment costs and accelerate return on investment, with some implementations delivering results in under six months.
Scaling AI from Devices to Gigawatt Cloud
Lenovo is also expanding AI capabilities to end-user devices, introducing next-generation workstations powered by NVIDIA RTX Pro Blackwell GPUs to enable on-device AI development and inferencing.
At the infrastructure level, the company unveiled new AI cloud systems powered by NVIDIA’s latest platforms, aimed at hyperscale and sovereign cloud providers. These systems are designed to support gigawatt-scale AI workloads, offering significant improvements in performance and energy efficiency.
“AI has entered the production era, where intelligence is generated in real time,” said Jensen Huang, noting that demand for accelerated computing and AI infrastructure is expected to surge.
Lenovo added that its expanded collaboration with NVIDIA will also support its global partner ecosystem, enabling enterprises to deploy AI solutions across hybrid environments more efficiently.
The announcement underscores a broader industry shift toward AI-native infrastructure, as companies seek to integrate AI into core business operations and scale deployments from experimentation to full production.
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