Lenovo today announced new products and services built for the AI and HPC convergence. The company introduced high-performance servers, high-speed storage arrays and expanded Hybrid AI services. Together, these offerings help organizations turn massive volumes of data into faster scientific discovery, engineering breakthroughs and business innovation.
Demand for the underlying infrastructure is rising rapidly. Continuous inference, agentic execution and more complex scientific workloads drive that growth.
The expanded portfolio of AI and HPC convergence brings together new Lenovo ThinkSystem servers powered by 6th Generation AMD EPYC™ SP7 processors. It also includes high-performance storage and interconnect options, Lenovo Neptune™ liquid cooling, and expanded services for enterprise and gigawatt-scale AI factories. As a result, organizations gain the compute, data infrastructure and expertise to deploy, operate and scale complex AI and HPC workloads. They can do so across their own data centers, hybrid environments and colocation facilities.
“AI and high-performance computing are converging around a simple customer need: the ability to turn increasingly complex workloads into real outcomes,” said Scott Patti, Vice President, Infrastructure Solutions Group, Lenovo. “That means getting more useful performance from every watt, overcoming growing power and cooling constraints, and moving faster from infrastructure deployment to operational AI. Lenovo is bringing together high-performance infrastructure, Neptune™ liquid cooling and expanded services to help customers do exactly that at scale.”
More Compute, Faster Data, Greater Efficiency
As AI and HPC workloads grow in scale and complexity, performance depends on the entire system. Therefore, Lenovo expands every layer, from compute and memory bandwidth to data movement, storage and cooling. This new generation of infrastructure aims to reduce bottlenecks and deliver greater performance and efficiency at scale.
- Lenovo ThinkSystem SC755: This dual-socket Neptune™ liquid-cooled server removes up to 100% of system heat via water. Moreover, it delivers up to 40% higher sustained performance than similar air-cooled systems1. Lenovo Dynamic Partitioning™ adds flexibility to resource allocation. Customers can easily convert two dual-socket systems into single sockets, and back again.
- Lenovo ThinkSystem SR755: Lenovo designed this system for high-bandwidth performance across large-scale virtualization, engineering, financial modeling, electronic design automation and agentic AI infrastructure. It offers high compute density and memory bandwidth. In addition, it uses less power and delivers better economics for demanding workloads than dual-socket configurations2.
- Lenovo ThinkSystem DE6800 and DE6500: Lenovo built both systems for scale and performance. They are optimized for high-throughput, latency-sensitive block workloads. The DE6800 suits high-throughput applications that demand reliable storage. Meanwhile, the DE6500 delivers economical high performance with simplified deployment and management.
- Cornelis CN5000 fabric validation: This gives customers a high-performance interconnect option for demanding AI and HPC environments. It also helps reduce bottlenecks across increasingly data-intensive workloads.
“As AI and HPC workloads converge, organizations need infrastructure that delivers exceptional compute performance, energy efficiency and flexibility at scale,” said Dan McNamara, Senior Vice President and General Manager, Compute and Enterprise AI, AMD. “The new Lenovo ThinkSystem platforms powered by 6th Gen AMD EPYC™ Server CPUs help customers accelerate demanding workloads – from engineering and scientific research to AI inferencing and agentic AI – while building a more efficient, scalable foundation for continued innovation.”
From Infrastructure to Operational AI Capacity
Deploying the AI and HPC convergence technology foundation is only part of the challenge, though. Organizations must also configure and optimize their growing HPC and AI environments. Furthermore, they must secure the power and data center capacity to run them. Lenovo is expanding its services portfolio for enterprises and gigawatt Hybrid AI factories. The goal is to help customers move from infrastructure deployment to operational AI capacity faster.
- Expanded Hybrid AI Factory Services: New Lenovo GPU deployment, configuration and optimization capabilities help customers stand up and scale complete hybrid AI factories for complex workloads. Additionally, new multi-node support across RedHat AI Enterprises and NVIDIA AI Enterprise with NVIDIA Run:ai gives customers greater flexibility. They can build the operating environment that best meets their needs. It also makes deploying, governing and scaling emerging workloads easier, including agentic AI and physical AI.
- End-to-end Gigafactory Services: Lenovo is expanding its capabilities for large AI deployments with new gigafactory services. These include NVIDIA Infrastructure Services (NVIS) expertise for specialized deployment and cluster validation. From concept and build through deployment and optimization, Lenovo helps customers bring AI capacity online faster. It also helps them optimize that capacity for production.
- Colocation Services with Digital Realty: Organizations that need extra data center capacity can now access Digital Realty’s global network of colocation facilities through Lenovo. They can use the Digital Realty Innovation Lab (DRIL) environment to validate AI infrastructure, applications and workload requirements. Lenovo serves as a single point of contact for colocation space. Customers also get scalable infrastructure, modular services and flexible financing through Lenovo TruScale Infrastructure as a Service.
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News Source: Businesswire.com
