AMD Instinct MI350X OAM for Dell PowerEdge

The AMD Instinct MI350X OAM (Open Accelerator Module) for Dell PowerEdge represents AMD's latest generation of data center GPU accelerators, built on the CDNA 4 architecture and engineered specifically for high-density AI training, large-scale inference, and HPC workloads. Designed in the OAM form factor, it integrates natively into Dell PowerEdge OAM-compatible platforms, enabling high-bandwidth, low-latency inter-accelerator communication through AMD Infinity Fabric interconnects within multi-accelerator server configurations.

The MI350X is equipped with HBM3E memory, delivering exceptional memory bandwidth and capacity suited to the demands of large language model training, scientific simulation, and deep learning inference at scale. The CDNA 4 compute architecture introduces significant generational improvements in FP8, FP16, BF16, and FP32 matrix throughput relative to prior Instinct generations, making it well-suited to transformer-based model workloads and mixed-precision compute pipelines common in enterprise AI infrastructure.

As a Dell-integrated OAM module carrying manufacturer part number 100-300000091, this accelerator is validated and optimized for deployment within Dell PowerEdge server ecosystems, ensuring firmware compatibility, thermal management alignment, and support through Dell's enterprise infrastructure management tooling. It is positioned for organizations in data center, cloud, telecommunications, and research environments across UAE, GCC, EMEA, and APAC regions seeking scalable, high-performance GPU acceleration.

Ideal for

• Large language model (LLM) pre-training and fine-tuning at enterprise scale, leveraging high HBM3E memory bandwidth for transformer workloads
• High-performance inference serving for generative AI applications requiring sustained throughput and low latency in production environments
• High-performance computing (HPC) simulation workloads including computational fluid dynamics, molecular dynamics, and finite element analysis
• Data center AI infrastructure consolidation within Dell PowerEdge OAM-based server deployments for multi-tenant or private cloud environments
• Retrieval-augmented generation (RAG) and vector search pipelines requiring large in-accelerator memory footprints for embedding and index operations
• Scientific research and government/defense modeling workloads demanding FP64 and mixed-precision compute with validated enterprise-grade hardware

Technical specifications

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