Intel Xeon Gold 5416S 16c/32t 2.0GHz-4.0GHz 150W (PK8071305122201)

Intel Xeon Gold 5416S — Technical Overview and Performance Analysis

The Intel Xeon Gold 5416S is a mid-range Sapphire Rapids processor offering a strong balance of core count, memory bandwidth and PCIe 5.0 connectivity. With 16 cores and 32 threads running at a 2.0 GHz base clock and boosting up to 4.0 GHz, the CPU provides consistent multi-thread throughput and responsive single-thread performance for enterprise and cloud workloads.

The processor features 2 MB of L2 cache per core and a shared 30 MB L3 cache. This cache structure improves performance in mixed workloads such as distributed search engines, message brokers, analytics pipelines, telemetry systems and microservice-heavy platforms. The predictable cache behavior is particularly valuable for multi-node deployments where latency consistency is important.

The Xeon Gold 5416S supports eight-channel DDR5 memory up to 4400 MT/s, delivering significantly higher bandwidth than earlier DDR4-based servers. Memory-intensive applications, including JVM microservices, real-time data processing systems and distributed databases, benefit directly from this improved throughput.

With 80 PCIe 5.0 lanes, the processor enables high-speed NVMe configurations, 100/200G network adapters, accelerators, and SmartNIC solutions. This makes the 5416S well suited for software-defined storage nodes, virtualized networking environments, telecom workloads and hybrid compute-storage server designs.

Operating at 150 W TDP, the processor provides a favorable balance between performance and cooling requirements. It runs reliably in dense 1U/2U dual-socket configurations, making it an efficient choice for mid-size datacenters and edge computing environments.

Overall, the Intel Xeon Gold 5416S offers a highly capable platform for organizations upgrading to DDR5 and PCIe 5.0. It delivers the core performance, memory bandwidth and I/O flexibility needed for modern virtualization clusters, analytics stacks and cloud-native enterprise workloads.