Lenovo today announced products and services designed for the rapidly converging worlds of artificial intelligence and high-performance computing. The new high-performance servers and high-speed storage arrays, coupled with expanded Hybrid AI services will help organizations turn massive volumes of data into faster scientific discovery, engineering breakthroughs and business innovation.
As the world moves toward continuous inference, agentic execution and more complex scientific workloads, demand for the underlying infrastructure is rapidly accelerating.
The expanded portfolio brings together new Lenovo ThinkSystem servers powered by 6th Generation AMD EPYC™ SP7 processors, high-performance storage and interconnect options, Lenovo Neptune™ liquid cooling, and expanded services for enterprise and gigawatt-scale AI factories. Together, these new capabilities give organizations the compute, data infrastructure and expertise needed to deploy, operate and scale increasingly complex AI and HPC workloads 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. From compute and memory bandwidth to data movement, storage and cooling, Lenovo is expanding each layer with a new generation of infrastructure designed to reduce bottlenecks and deliver greater performance and efficiency at scale.
- Lenovo ThinkSystem SC755: The dual-socket Neptune™ liquid-cooled server is designed to remove up to 100% of system heat via water and deliver up to 40% higher sustained performance compared to similar air-cooled systems. Lenovo Dynamic Partitioning™ enables more flexible allocation of compute resources across workloads by allowing customers to easily convert two dual socket systems into single sockets, and back.
- Lenovo ThinkSystem SR755: Designed for high-bandwidth performance across large-scale virtualization, engineering, financial modeling, electronic design automation and agentic AI infrastructure. The system is engineered for high compute density and memory bandwidth, with lower power consumption and better economics for demanding workloads as compared to dual-socket configurations.
- Lenovo ThinkSystem DE6800 and DE6500: Designed for scale and performance, and optimized for high-throughput, latency-sensitive block workloads. The DE6800 is especially well suited for high throughput applications demanding reliable storage, while the DE6500 delivers economical high performance with simplified deployment and management.
- Cornelis CN5000 fabric validation: Provides customers with a high-performance interconnect option for demanding AI and HPC environments, helping 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
With AI infrastructure growing more complex, deploying the technology foundation is only part of the challenge. Organizations also need to configure and optimize growing HPC and AI environments while securing the power and data center capacity required to operate them. Lenovo is expanding its services portfolio for enterprises and gigawatt Hybrid AI factories 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. New multi-node support across Red Hat AI Enterprise, NVIDIA AI Enterprise with NVIDIA Run:ai gives customers greater flexibility to build the operating environment that best meets their needs and makes it easier to deploy, govern, and scale emerging workloads, including agentic AI and physical AI.
- End-to-end Gigafactory Services: Lenovo is expanding its capabilities for large AI deployments with new gigafactory services, including 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 and optimize it for production.
- Colocation Services with Digital Realty: For organizations requiring additional data center capacity, Lenovo can now facilitate access to Digital Realty’s global network of colocation facilities. Organizations can leverage the Digital Realty Innovation Lab (DRIL) environment to help validate AI infrastructure, applications and workload requirements, with Lenovo providing a single point of contact for organizations needing colocation space, with scalable infrastructure, modular services, and flexible financing through Lenovo TruScale Infrastructure as a Service.
AI and HPC in Action
Lenovo customers, from leading research institutions to enterprises running demanding commercial workloads, are already advancing AI-driven discovery worldwide – from sovereign AI research in Bavaria, Germany to fusion energy innovation at Imperial College London.
At the University of Florida, the fourth generation of HiPerGator, built on Lenovo, NVIDIA and AMD technology, delivers 17.49 PFLOPS and processed 33 million research requests in the past year, expanding access to AI-for-science across campus.
Additionally, DreamWorks Animation leverages Lenovo Neptune liquid-cooled servers in their data center to deliver a 20% greater performance and faster rendering to accelerate creative iteration.
Visit https://www.lenovo.com/us/en/servers-storage/solutions/hpc/ or Booth #3023 at SC26 to learn how Lenovo brings together infrastructure, services and a broad partner ecosystem to help customers build, deploy and operate AI and HPC environments at scale.
