Lenovo ThinkSystem SR685a V3 8-GPU AMD MI300X Server

The Lenovo ThinkSystem SR685a V3 (Part No. 7D9SA00WNA) is a purpose-built, high-density 2U/4U dual-socket server engineered to house eight AMD Instinct MI300X Accelerated Processing Units simultaneously. Designed around the AMD EPYC 9004 series processor platform, this system delivers an architecture optimized for unified memory and massive parallel compute, making it one of the highest-memory-bandwidth GPU server configurations commercially available. The MI300X APU integrates 192 GB of HBM3 memory per accelerator, and with eight units installed, the platform presents a combined 1.5 TB of high-bandwidth GPU memory within a single server node — a configuration that fundamentally changes how large AI models can be hosted and executed without memory fragmentation across nodes.

The SR685a V3 leverages AMD's Infinity Fabric interconnect to enable coherent, high-throughput communication between accelerators, reducing inter-GPU latency and maximizing effective compute utilization across training and inference workloads. The system supports PCIe Gen 5 connectivity and is designed to accommodate high-bandwidth networking adapters suited for scale-out cluster deployments. Thermal design, power delivery infrastructure, and chassis geometry are co-engineered with the MI300X's TDP requirements to sustain full accelerator performance under continuous enterprise datacenter operation.

Targeted at enterprise datacenters, cloud service operators, and national research institutions, the ThinkSystem SR685a V3 is Lenovo's flagship AI compute platform for the AMD Instinct ecosystem. It is validated through Lenovo's rigorous ISS engineering process and supports enterprise management via Lenovo XClarity Administrator, enabling integration into existing datacenter orchestration, monitoring, and lifecycle management workflows across UAE, GCC, EMEA, and APAC deployments.

Ideal for

• Large Language Model (LLM) training and fine-tuning for models exceeding 70 billion parameters, leveraging the aggregated 1.5 TB HBM3 memory pool to fit entire model states in-memory across a single node
• Generative AI inference serving at enterprise scale, enabling high-throughput, low-latency token generation for production AI applications without inter-node memory offloading
• High-performance computing (HPC) scientific simulation workloads in energy, life sciences, and climate modeling that require sustained FP64 and FP32 throughput at datacenter scale
• Multi-tenant AI infrastructure for cloud service providers requiring dense GPU consolidation, maximizing accelerator count per rack unit to optimize datacenter power and space efficiency
• Retrieval-Augmented Generation (RAG) and vector database operations where large embedding models and knowledge bases must reside in fast GPU-accessible memory simultaneously
• AI-driven drug discovery, genomics, and molecular dynamics research requiring both large memory capacity and high double-precision floating-point compute performance

Technical specifications

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