HPE ProLiant Compute XD685

As artificial intelligence (AI), machine learning (ML), and high-performance computing (HPC) continue to grow in scale and complexity, organizations require server platforms capable of handling massive data and parallel processing demands. The HPE ProLiant Compute XD685 is purpose-built for these environments, offering high compute density, scalability, and flexible cooling options to support next-generation AI workloads.

Designed in a 5U form factor, the XD685 combines dual 5th Gen AMD EPYC™ processors with support for up to eight GPUs and 6 TB of DDR5 memory, making it an ideal solution for large-scale AI training, scientific simulation, and data analytics. Whether configured with air or direct liquid cooling, the XD685 delivers reliable performance and energy-efficient operation in the most demanding data center settings.

Key Features & Specifications of HPE ProLiant Compute XD685

Processor and Architecture

The XD685 is powered by dual 5th Generation AMD EPYC™ processors, supporting up to 96 cores per socket. This dual-socket design enables exceptional compute performance, making it suitable for AI training, HPC simulation, and data-intensive modeling. Its architecture maximizes parallel processing capabilities, allowing enterprises to scale workloads seamlessly across CPUs and GPUs.

GPU and Acceleration Support

A key strength of the XD685 lies in its GPU flexibility and density. The system supports up to eight high-performance accelerators, including NVIDIA H200/B200 and AMD Instinct MI355X GPUs. This configuration provides the compute intensity required for deep learning training, large language model (LLM) processing, AI inference, and scientific computation.

The scalability of HPE XD685 SSD ensures optimal throughput for both AI development and HPC environments, supporting workloads that rely on massive data parallelism.

Memory and Storage

With support for up to 6 TB of DDR5 memory, the XD685 provides the high-speed bandwidth and responsiveness needed for memory-intensive operations. This large memory footprint allows for faster dataset access and reduced latency in training complex AI models or executing HPC simulations.

Its storage options can be configured for high-capacity local data caching or fast-access NVMe storage, depending on workload requirements.

Cooling and Efficiency

The XD685 is available in both air-cooled and direct liquid-cooled configurations, giving organizations the flexibility to match their thermal and power efficiency goals.

  • The air-cooled model offers simplified installation and maintenance for traditional data centers.

  • The direct liquid cooling (DLC) option enhances thermal efficiency and supports sustained GPU performance under heavy workloads, ideal for large-scale AI training clusters.

This flexibility ensures that enterprises can maintain high compute density without compromising performance or reliability.

Security and Management

The XD685 integrates HPE Integrated Lights-Out 7 (iLO 7), which delivers advanced system management, real-time monitoring, and automated firmware validation. iLO 7 helps IT teams securely manage resources, optimize uptime, and maintain operational consistency across AI or HPC clusters. Combined with HPE’s silicon root of trust, it provides hardware-level protection against firmware attacks and unauthorized access.

Performance and Application Scenarios

The HPE ProLiant Compute XD685 is purpose-built for environments where compute intensity and reliability are critical. Its dual AMD EPYC processors, multi-GPU scalability, and flexible cooling make it an ideal fit for the following applications:

  • AI Model Training and Development: Train large-scale generative AI and machine learning models using multi-GPU configurations.

  • High-Performance Computing (HPC): Support complex simulations, scientific modeling, and data-driven research.

  • Data Analytics and Visualization: Process massive datasets for real-time insights and predictive analytics.

  • Large Language Model (LLM) Workloads: Deploy infrastructure capable of running foundation model training and fine-tuning.

  • AI Inference and Deployment: Scale inference workloads efficiently across multi-GPU nodes for production environments.

Optimized for Scalable AI Infrastructure

The HPE ProLiant Compute XD685 delivers a perfect balance of compute density, cooling flexibility, and scalability for enterprise data centers and research environments. Its 5U form factor supports dense GPU configurations while maintaining accessibility for service and maintenance.

Organizations can deploy the XD685 to:

  • Build scalable GPU clusters for AI and HPC research.

  • Run concurrent AI training and inference workloads efficiently.

  • Optimize energy use through configurable cooling options.

  • Ensure data and firmware security through integrated management tools.

This platform enables enterprises to modernize their compute infrastructure and accelerate innovation across AI, analytics, and HPC workflows.

Availability at Saitech Inc

The HPE ProLiant Compute XD685 is available at Saitech Inc, offering flexible configurations tailored to meet the needs of AI, HPC, and data-driven enterprises. With support for the latest AMD EPYC processors, multi-GPU architecture, and advanced management tools, the XD685 delivers high-density performance and efficient scalability for modern compute environments.