Lenovo ThinkSystem SR685a V3 GPU Server

The Lenovo ThinkSystem SR685a V3 is a 5U rack-optimized GPU server engineered specifically for enterprise AI training, large language model development, and high-throughput inferencing at scale. At its core, the system integrates the NVIDIA HGX H200 baseboard housing eight H200 SXM5 GPUs interconnected via NVLink 4.0 and NVSwitch, delivering a fully unified GPU memory fabric of up to 1,128 GB of HBM3e across the node. Dual AMD EPYC 9004-series (Genoa) processors provide the CPU compute backbone, supplying PCIe Gen 5.0 lanes and high-bandwidth memory channels necessary to keep the GPU complex fully fed without bottlenecks.

The SR685a V3 is purpose-built around air-cooling to lower operational complexity compared to liquid-cooled alternatives, making it deployable in standard enterprise data center environments without specialized cooling infrastructure. Lenovo's optimized airflow design, high-static-pressure fan modules, and thermally tuned chassis accommodate the extreme thermal dissipation demands of eight H200 GPUs within conventional raised-floor or hot-aisle/cold-aisle containment setups. The server supports high-speed InfiniBand NDR400 or Ethernet networking through its PCIe Gen 5 expansion slots, enabling multi-node scale-out clusters for distributed training across hundreds of GPUs.

Targeted at organizations developing foundation models, running scientific simulations, and deploying large-scale recommendation systems, the SR685a V3 benefits from Lenovo's XClarity management suite, providing unified lifecycle management, telemetry, and predictive health monitoring across GPU, CPU, memory, and storage subsystems. Integration with Lenovo Neptune thermal management practices and AMD EPYC's security features—including transparent secure memory encryption—addresses both performance and data-sovereignty requirements for regulated enterprise and government AI deployments. The platform launched in Q2 2025 as part of Lenovo's next-generation ThinkSystem AI-optimized portfolio.

Ideal for

• Training large language models and foundation models with billions of parameters requiring high GPU memory capacity and NVLink all-to-all bandwidth
• Generative AI model fine-tuning for domain-specific enterprise applications in finance, healthcare, and legal sectors
• Multi-node distributed deep learning across InfiniBand NDR clusters for vision transformers and multimodal AI research
• High-throughput AI inferencing for latency-sensitive production serving of large generative models at enterprise scale
• Scientific computing and HPC simulation workloads in computational chemistry, genomics, and climate modeling leveraging FP64 tensor operations
• Recommendation engine training for large-scale e-commerce and digital media platforms requiring high memory bandwidth and GPU parallelism

Technical specifications

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