Lenovo adds AMD EPYC servers and AI Factory services for HPC – Unite.AI

Lenovo announced on November 10, 2026, a new high-performance computing and artificial intelligence infrastructure, including ThinkSystem servers with 6th Generation AMD EPYC SP7 processors, storage, interconnects, and expanded AI factory services. The portfolio includes customer data centers, hybrid environments and colocation facilities.

Lenovo sees AI and HPC as a system-level infrastructure challenge. As continuous inference, agent execution, and scientific workloads increase, performance depends on compute and memory bandwidth, as well as storage, data movement, and cooling. Scott Patti, vice president of Lenovo’s Infrastructure Solutions Group, said the goal is to “get more useful performance out of every watt,” addressing power and cooling constraints and moving more quickly from deployment to operational AI.

Servers, storage and interconnections

The dual-socket ThinkSystem SC755 is the liquid-cooled Neptune server in the update. Lenovo’s internal testing reports that it can remove up to 100% of the system’s heat through water and deliver up to 40% higher sustained performance than similar air-cooled systems. These results will vary based on system configuration, workload, facility water temperature, and data center conditions. Dynamic partitioning allows customers to convert two dual-socket systems to single sockets and vice versa, making compute allocation more flexible across workloads.

For compute density and memory bandwidth, Lenovo adds the ThinkSystem SR755. Its focus uses broad-based AI infrastructure, electronic design automation, financial modeling, engineering and large-scale virtualization. Lenovo’s internal analysis reports lower power consumption and better economics compared to dual-socket configurations, with actual results subject to change.

Two storage systems extend the focus to data throughput. The ThinkSystem DE6800 is intended for applications requiring reliable, high-throughput storage, while the DE6500 offers cost-effective performance with simpler deployment and management. Both address latency-sensitive block storage workloads. The Cornelis CN5000 fabric validation also provides customers with another high-performance interconnect intended to reduce data movement bottlenecks in demanding AI and HPC environments.

Data center deployment and capacity services

The services part tackles the work after the hardware arrives. Hybrid AI Factory services now cover GPU deployment, configuration, and optimization. Multi-node support for Red Hat AI Enterprise and NVIDIA AI Enterprise with NVIDIA Run:ai provides two software paths for deploying, managing, and scaling workloads, including agent AI and physical AI.

Looking more broadly, Lenovo’s expanded Gigafactory services cover the concept and build phases through deployment and optimization for production. NVIDIA Infrastructure Services expertise is included for specialized deployment and cluster validation. Lenovo can also facilitate access to Digital Realty’s colocation network and Digital Realty Innovation Lab, where organizations can validate AI infrastructure, applications and workload requirements.

Lenovo provides a single point of contact for organizations needing colocation space, with scalable infrastructure, modular services and flexible financing through TruScale Infrastructure as a Service. The additions combine computing hardware with deployment work and data center capacity, reflecting Lenovo’s position that deployment is only one part of achieving AI operational capability.

Existing customer deployments

The University of Florida showcases the research side of the portfolio. Its fourth-generation HiPerGator cluster, shipped with Mark III systems, combines Lenovo, NVIDIA and AMD technology. The Lenovo case study lists 60,000 AMD EPYC server CPU cores and 1,552 NVIDIA GPUs and provides a total of 33 million search requests in one year.

The TOP500 entry for HiPerGator AI lists 17.49 PFlop/s of measured Linpack Rmax performance and a theoretical peak of 19.00 PFlop/s. The system was installed in 2025 and ranks 125th on the June 2026 list.

DreamWorks Animation illustrates the structures side. It replaced a traditional air-cooled render farm with Lenovo ThinkSystem servers using Neptune liquid cooling. Lenovo’s case study reports effective heat removal of up to 100%, a 6-degree increase in chilled water setpoint, and up to 10% lower annual data center energy costs, adding that the higher setpoint reduces energy consumption and creates space for additional liquid-cooled infrastructure.

The announcement and customer cases frame usable AI capacity as a combination of servers, facilities and deployment work. University of Florida data shows the scale of the research, while DreamWorks quantifies the facility’s results; The advantages of the new SC755 remain the supplier’s test results that depend on workload and site conditions. For power-constrained operators, the practical implication is that cooling, networking and distribution services can be just as consequential to usable AI capacity as the processors themselves.