Outpace Evolving Data Demands with Incredible Flexibility
HPE Compute Scale-up Server 3200 utilizes a proven modular architecture that scales seamlessly from 4 to 16 sockets, in 4-socket increments, in a single-system.
Scale-up architecture reduces both server sprawl and complex data reassembly for the target workloads, including SAP HANA, Oracle, and Microsoft SQL Server databases. It’s also easier to manage than a scale out deployment.
Meet all your in-memory computing demands with up to 32 TB of shared memory.
Benefit from unbounded and flexible I/O with three different options depending on your workload requirements (Max GPU, Max I/O, Max drives).
Enjoy the flexibility of the cloud while retaining control of your most valuable asset, your data, with deployment via HPE GreenLake.
Process and Analyze Your Ever-Growing Data at Extreme Speed with Groundbreaking Performance at Scale
HPE Compute Scale-up Server 3200 is powered by 4th Gen Intel® Xeon® Scalable processors. With up to 60 cores per processor and built-in accelerators, these processors are designed to boost performance across the fastest-growing workloads, including AI and data analytics.
2X memory bandwidth compared to prior generation. Eight independent DDR5 memory channels per socket provide slots for up to 16 DIMMs per chassis.1
Achieve the performance levels required by critical applications with ultra-low latency and high bandwidth technology. Double the effective fabric bandwidth with innovative fabric link design.
Leverage innovative in-memory design and extreme shared memory capacity of up to 32 TB in a single platform.
I/O subsystem based on PCIe5.0 delivers 4x I/O bandwidth compared to prior models.
Protect Your Mission-Critical Workloads with Proven End-to-End Reliability and Trusted Security
HPE Compute Scale-up Server 3200 is classified as an AL4 system by IDC2 to provide impressive resiliency.
Delivers excellent service levels on industry standards with extreme and proven RAS capabilities not available on other x86 platforms.
Contain errors at the firmware level, including memory errors, before any interruption can occur at the operating system layer with the Hewlett Packard Enterprise “Firmware First” approach.
Reduce human error with proven predictive fault handling analysis engine, which predicts hardware faults and initiates self-repair without operator assistance.
Decrease threat exposures with a reduced attack surface area backed by a robust security framework, a firewalled management network, and the HPE Silicon Root of Trust to reduce cyber risk and protect against firmware attacks and malware by providing an end-to-end supply chain with enhanced security.
1 Benchmarking and tests done with equivalent compute products in a controlled environment. HPE Research and Development, Houston, Texas, June 2023
2 IDC, #US51038023, Mission-Critical Platforms Deliver Continuity in the Shift to a "Digital First" Business, July 2023