AMD Instinct MI300X 192GB HBM3 OAM GPU Module — Dell PowerEdge XE9680 (AMD Config)

The AMD Instinct MI300X 192GB HBM3 OAM GPU Module, configured for the Dell PowerEdge XE9680, is built on AMD's CDNA 3 architecture and represents one of the highest-memory-capacity accelerators available for enterprise AI and HPC infrastructure. The MI300X integrates a unified memory architecture combining CPU-class compute dies and GPU compute dies within a single package, delivering 192GB of HBM3 memory with an aggregate memory bandwidth exceeding 5.2 TB/s. This extraordinary memory capacity makes it uniquely suited to hosting large-scale AI models entirely in GPU memory, eliminating costly memory offloading and enabling sustained throughput for inference and training at scale.

As an OAM (OCP Accelerator Module) form-factor device, the MI300X is designed for high-density server integration. In the Dell PowerEdge XE9680 AMD configuration, up to eight MI300X modules are supported per 4U chassis, interconnected via AMD Infinity Fabric links that enable peer-to-peer communication between accelerators with high bandwidth and low latency. The XE9680 platform manages thermal and power delivery requirements suited to the MI300X's TDP envelope, supporting data center deployments that demand dense, scalable GPU compute without architectural compromise.

The MI300X targets the most demanding enterprise AI workloads, including large language model (LLM) training and inference, generative AI applications, scientific simulation, and high-performance computing. Its support for FP64, FP32, FP16, BF16, INT8, and FP8 precisions — combined with ROCm software stack compatibility — gives enterprise operators flexibility across frameworks including PyTorch, TensorFlow, and JAX. Organizations in sectors such as financial services, life sciences, energy, and government research deploy this configuration to accelerate time-to-insight on compute-intensive workloads that would otherwise require distributed multi-node execution.

Ideal for

• Large language model (LLM) training and fine-tuning, leveraging 192GB HBM3 per module to fit multi-billion parameter models within a single node
• Generative AI inference serving, enabling high-throughput, low-latency responses for enterprise-deployed foundation models without memory offloading
• High-performance computing (HPC) simulations in life sciences, computational fluid dynamics, and climate modeling requiring FP64 double-precision throughput
• Financial services quantitative analytics and risk modeling, running large matrix operations and Monte Carlo simulations at accelerated scale
• AI-driven drug discovery and genomics workloads that process large biological datasets requiring sustained memory bandwidth and compute density
• Enterprise AI infrastructure consolidation, replacing multi-node distributed training clusters with dense single-chassis configurations using the Dell PowerEdge XE9680 with eight MI300X modules

Technical specifications

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