Lenovo ThinkSystem AMD Instinct MI250X 128GB OAM GPU

The Lenovo ThinkSystem AMD Instinct MI250X 128GB OAM GPU (4X67A84460) is a high-performance compute accelerator built on AMD's CDNA2 architecture, engineered for the most demanding AI training, high-performance computing, and data-intensive enterprise workloads. Packaged in the Open Accelerator Module (OAM) form factor, it is designed for integration into OAM-compatible server platforms, enabling dense, scalable multi-GPU configurations within enterprise datacenter environments.

At the heart of the MI250X is a dual-die design delivering a combined 128GB of High Bandwidth Memory 2e (HBM2e) across both Graphics Compute Dies (GCDs), offering exceptional memory bandwidth to feed compute-hungry workloads without bottlenecks. The accelerator provides substantial peak throughput for both FP64 and FP32 matrix operations, making it particularly well-suited for scientific simulation, large-scale deep learning model training, and inference at scale. AMD's ROCm open software ecosystem provides a flexible, open-source compute platform supporting frameworks such as PyTorch, TensorFlow, and JAX.

Validated and integrated by Lenovo for ThinkSystem server platforms, this GPU undergoes rigorous system-level testing to ensure thermal, electrical, and firmware compatibility within Lenovo's enterprise infrastructure. This tight hardware-software integration supports the reliability and manageability requirements of production datacenter deployments, making it a credible choice for organizations building AI infrastructure, national research computing environments, and enterprise HPC clusters across regions including the UAE, GCC, EMEA, and APAC.

Ideal for

• Large-scale deep learning model training for natural language processing, computer vision, and multimodal AI workloads requiring sustained FP64 and FP32 matrix throughput
• High-performance computing (HPC) simulations in scientific research domains including computational fluid dynamics, molecular dynamics, and climate modeling
• Generative AI inference infrastructure where high memory capacity and bandwidth reduce latency for large language model serving
• Financial services risk analytics and quantitative modeling requiring double-precision floating-point accuracy at scale
• Government and academic supercomputing clusters demanding open, standards-based accelerator ecosystems with full FP64 fidelity
• Enterprise AI platform buildouts requiring dense multi-GPU server configurations with validated Lenovo ThinkSystem integration

Technical specifications

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