Intel Xeon 6 Processors Boosted Ray Tracing Performance
Lenovo benchmarking shows CPU-centric rendering gains and improved energy efficiency for high-performance computing.
Updated on Sept. 28, 2026 in Data Centers
Live Poll
Is now a good time to invest in upgraded server infrastructure to lower operational energy costs?
Lenovo has published a whitepaper detailing the rendering performance of the OpenMoonRay engine on its ThinkSystem servers using Intel Xeon 6 processors. The testing establishes a clear performance trajectory for CPU-centric ray tracing in data center environments.
Why it matters
Physically based rendering engines demand high-compute infrastructure to process complex lighting and geometry at scale. This analysis provides a benchmark for how newer processor architectures handle the shift toward demanding visual workloads.
The 128-core Intel Xeon 6980P yielded a 2.11-times performance increase over the baseline processor. Benchmarks showed performance correlated 87.4% with CPU frequency, 27.4% with memory bandwidth, and 5.6% with L3 cache size.
The players
Lenovo
A multinational technology company specializing in high-performance computing hardware, server infrastructure, and enterprise data center solutions.
Intel
A semiconductor designer and manufacturer known for its Xeon series of server processors used in scalable data center and cloud computing environments.
The details
OpenMoonRay is a CPU-centric Monte Carlo ray tracing renderer—a software engine that simulates the paths of light rays to produce realistic images. Testing occurred on Lenovo ThinkSystem SR630 V3 and SC750 V4 servers, with the latter utilizing Neptune, a direct water-cooling technology that allows for inlet temperatures up to 45°C. Researchers evaluated all 10 scenes from the OpenMoonRay GitHub repository using Rocky Linux 9.5 and the Lenovo EveryScale Best Recipe software stack.
Timeline
September 28, 2026: Lenovo published the whitepaper detailing the OpenMoonRay benchmarks.
The Tech Race
The shift toward CPU-centric rendering remains a competitive field against dedicated GPU-accelerated pipelines. This report establishes a performance baseline for how current server-class CPUs manage the physical simulation requirements of the OpenMoonRay engine.
Data center operators looking to optimize physically based rendering workflows can use these findings to project infrastructure capacity requirements. The documented performance gains suggest that upgrading to the Xeon 6980P could significantly reduce the time needed to finalize complex renders.
The takeaway
The move toward 128-core processors like the 6980P signals a continued focus on packing more compute density into individual server nodes. Operators should watch for future benchmarks that incorporate power-draw measurements to fully understand the total cost of ownership for these systems.
Further reading
For more on evolving infrastructure requirements, explore our Data Centers section.
Source note: This article includes information reported by HPCwire.
Live Poll
Is now a good time to invest in upgraded server infrastructure to lower operational energy costs?
