AMD Instinct MI300X 192GB HBM3 OAM Accelerator

The AMD Instinct MI300X is a high-performance GPU accelerator built on AMD's CDNA 3 architecture, designed specifically for large-scale AI training, inference, and HPC workloads in enterprise datacenter environments. Featuring 192GB of HBM3 memory across eight stacks, it delivers 5.3TB/s of aggregate memory bandwidth, enabling the execution of extremely large AI models—including multi-hundred-billion parameter large language models—entirely within a single accelerator's memory footprint. The OAM (OCP Accelerator Module) form factor supports dense, scalable deployment in OAM-compatible server platforms.

The MI300X integrates 304 compute dies alongside memory dies in a unified 3D chiplet architecture, providing 1,307 TFLOPS of FP8 peak compute throughput and 655 TOPS of INT8 performance. Its Infinity Fabric interconnect enables high-bandwidth, low-latency communication between accelerators in multi-GPU configurations, while ROCm software platform compatibility ensures broad support for machine learning frameworks including PyTorch and TensorFlow, as well as HPC programming models such as HIP, OpenMP, and OpenCL.

Targeted at hyperscale datacenters, cloud service providers, and enterprise AI infrastructure teams, the MI300X is engineered to reduce the need for model parallelism across multiple nodes by accommodating very large model states in a single device. Its 192GB unified memory pool is particularly advantageous for generative AI inference serving, where low latency and high memory capacity directly translate into greater throughput and the ability to serve larger context windows. The OAM module form factor aligns with open datacenter hardware standards, supporting flexible integration into next-generation AI server designs.

Ideal for

• Large language model (LLM) training and fine-tuning for models with hundreds of billions of parameters, leveraging the 192GB HBM3 memory capacity to reduce cross-node communication overhead
• Generative AI inference serving at scale, enabling high-throughput token generation with low latency for enterprise chatbot, copilot, and AI application deployments
• High-performance computing (HPC) workloads including scientific simulation, molecular dynamics, and computational fluid dynamics that benefit from high memory bandwidth and FP64 double-precision compute
• Multi-modal AI model development encompassing vision-language models, diffusion-based image generation, and speech processing pipelines requiring large activation memory
• Enterprise AI infrastructure consolidation, replacing multi-GPU configurations for tasks that previously required model sharding across several smaller-memory accelerators
• Retrieval-augmented generation (RAG) and vector database acceleration supporting enterprise knowledge management and real-time semantic search applications

Technical specifications

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