AMD Instinct MI350X 288GB HBM3E

The AMD Instinct MI350X 288GB HBM3E is a next-generation compute accelerator built on AMD's CDNA 4 architecture, engineered specifically for the most demanding enterprise AI training, inference, and high-performance computing workloads. Featuring 288GB of HBM3E memory with exceptional memory bandwidth, the MI350X delivers substantial improvements in both compute density and memory capacity over its predecessors, making it a compelling platform for large-scale generative AI model training and deployment at scale.

Supermicro's implementation of the MI350X targets modern datacenter infrastructure where power efficiency, thermal management, and density are critical operational concerns. The accelerator supports AMD's ROCm open software ecosystem, providing compatibility with widely adopted AI and HPC frameworks including PyTorch, TensorFlow, JAX, and OpenMPI-based HPC applications. The MI350X is designed for multi-GPU scale-out environments using AMD Infinity Fabric interconnect technology, enabling coherent high-bandwidth communication across accelerator nodes.

With its large 288GB HBM3E memory footprint, the MI350X is particularly well-suited for inference of frontier large language models (LLMs) and multimodal models that exceed the memory capacity of smaller accelerators, allowing entire model weights to reside on-device without complex sharding strategies. Enterprise datacenter operators across AI cloud services, scientific research institutions, and large-scale model development organizations will find the MI350X a high-capacity, standards-aligned accelerator platform supported through AMD's mature open-source software stack.

Ideal for

• Large language model (LLM) training and fine-tuning for generative AI applications requiring high memory capacity and compute throughput
• High-throughput AI inference serving for frontier models including LLMs and multimodal models that benefit from on-device full-weight residence
• High-performance computing (HPC) simulations in scientific research, computational fluid dynamics, and molecular dynamics workloads
• Enterprise AI cloud infrastructure buildout requiring dense GPU compute nodes with scale-out interconnect capabilities
• Data analytics acceleration for large-scale vector database operations and retrieval-augmented generation (RAG) pipelines
• Government and defense HPC workloads demanding open, auditable software stacks with ROCm-based framework compatibility

Technical specifications

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