AMD Instinct MI300A 128GB HBM3 APU OAM – Dell PowerEdge

The AMD Instinct MI300A 128GB HBM3 APU OAM is a groundbreaking Accelerated Processing Unit that uniquely integrates AMD CDNA 3 compute dies alongside CPU cores and 128GB of unified HBM3 memory onto a single package, eliminating the traditional CPU-to-GPU memory transfer bottleneck. This heterogeneous architecture delivers exceptional memory bandwidth and capacity for data-intensive AI and HPC workloads, with the unified memory pool accessible at full bandwidth by both the CPU and GPU compute engines simultaneously. Offered in the OAM (OCP Accelerator Module) form factor, it is validated and deployed within Dell PowerEdge server platforms designed for high-density datacenter infrastructure.

Built on the CDNA 3 microarchitecture, the MI300A delivers substantial double-precision (FP64) floating-point throughput alongside native support for FP32, FP16, BF16, FP8, and INT8 precisions through AMD Matrix Cores, making it equally capable across traditional scientific simulation, large language model inference, and mixed-precision AI training pipelines. The 128GB HBM3 memory subsystem provides aggregate memory bandwidth measured in multiple terabytes per second, enabling models and datasets that would otherwise require multi-device partitioning to reside entirely within a single device's memory space.

As a Dell PowerEdge-validated component, the MI300A APU OAM is engineered for integration into Dell's high-performance server ecosystem and benefits from Dell's system-level thermal, power, and management validation. It supports the ROCm open software platform for GPU compute, ensuring compatibility with HPC frameworks such as OpenMP, OpenCL, HIP, and popular AI frameworks including PyTorch and TensorFlow. The OAM mechanical and electrical interface aligns with OCP standards, facilitating deployment in open-compute-compatible datacenter environments across enterprise, research, and cloud infrastructure.

Ideal for

• Large-scale AI model training and fine-tuning where unified 128GB HBM3 memory eliminates multi-GPU memory partitioning for billion-parameter models
• High-performance computing (HPC) scientific simulations requiring sustained FP64 throughput, such as climate modeling, computational fluid dynamics, and molecular dynamics
• LLM inference serving in enterprise AI platforms where high memory capacity and bandwidth reduce latency for large foundation models
• Memory-bound data analytics and in-memory database acceleration leveraging the unified CPU-GPU address space to avoid explicit data staging
• Seismic processing and energy sector simulation workloads that demand both dense linear algebra performance and large working-set memory
• Sovereign and on-premises AI infrastructure deployments in UAE, GCC, EMEA, and APAC datacenters requiring validated Dell PowerEdge server integration

Technical specifications

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