Acer Altos BrainSphere R685 F5 Rackmount Server

The Acer Altos BrainSphere R685 F5 is a 2U dual-socket rack server engineered for demanding enterprise virtualization, AI inference, and high-density compute workloads. Built on a dual AMD EPYC processor architecture, the R685 F5 delivers high core counts, large memory capacity, and broad PCIe expansion to support the parallel processing demands of modern data center applications. Its 2U chassis balances compute density with accessibility, making it well suited for organizations scaling out server infrastructure in standard enterprise rack environments.

The server supports substantial DDR5 memory across multiple DIMM slots, enabling large in-memory datasets for database workloads, analytics, and AI model inference without repeated storage fetching. Multiple PCIe Gen 5 expansion slots accommodate high-bandwidth accelerators, NVMe storage controllers, and high-speed networking adapters. Flexible storage bay configurations support a mix of NVMe SSDs and SAS/SATA drives, giving storage architects the ability to tier data between fast NVMe for active workloads and higher-capacity drives for warm data.

As part of Acer's Altos BrainSphere server line, the R685 F5 is positioned for enterprises adopting AI inference at scale, large-scale virtualization with VMware or similar hypervisors, and high-throughput cloud-native workloads. Integrated out-of-band management via a dedicated baseboard management controller (BMC) supporting IPMI and Redfish standards enables remote monitoring, firmware updates, and system lifecycle management without requiring physical access to the hardware.

Ideal for

• Large-scale enterprise server virtualization hosting dozens of concurrent VMs per node with VMware vSphere, Microsoft Hyper-V, or KVM hypervisors
• On-premises AI inference serving, running large language model endpoints or computer vision pipelines accelerated by PCIe-attached GPU or NPU cards
• High-performance relational and in-memory database hosting, leveraging high core counts and large DDR5 memory capacity for OLTP and OLAP workloads
• Software-defined storage cluster nodes within Ceph or similar distributed storage frameworks, utilizing mixed NVMe and SAS/SATA drive bay configurations
• Private cloud infrastructure deployments running OpenStack or Kubernetes-based container orchestration platforms requiring dense compute per rack unit
• High-throughput data analytics and business intelligence processing where parallel CPU threads and fast memory bandwidth reduce query and batch job latency

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.