AMD Instinct MI355X Accelerator (288GB HBM3E)

The AMD Instinct MI355X is a data center GPU accelerator built on AMD's CDNA 4 architecture, representing the company's most advanced compute GPU to date. Featuring 288GB of HBM3E high-bandwidth memory, the MI355X delivers a substantial leap in memory capacity and bandwidth over its predecessor, enabling the training and inference of frontier-scale AI models that demand extreme memory footprints. The CDNA 4 architecture introduces enhanced matrix compute engines optimized for FP8, FP16, BF16, and INT8 precisions, accelerating the mixed-precision workflows central to modern large language model (LLM) and multimodal AI development.

Designed for deployment in high-density AI computing clusters, the MI355X supports AMD's ROCm open software ecosystem, providing compatibility with widely adopted AI frameworks including PyTorch and JAX, as well as HPC applications relying on OpenMP and MPI. The accelerator is engineered for installation in AMD Instinct-validated server platforms and integrates with AMD's Infinity Fabric interconnect technology to enable high-bandwidth GPU-to-GPU communication in multi-accelerator configurations, supporting scale-out training topologies across thousands of accelerators.

With 288GB of HBM3E memory, the MI355X directly addresses the growing memory requirements of trillion-parameter AI models and large-context inference serving, making it well suited to both model training at the frontier and high-throughput inference workloads in enterprise AI infrastructure. Its OAM (OCP Accelerator Module) form factor aligns with open data center standards, facilitating integration into next-generation AI-optimized rack architectures. The MI355X carries AMD part number 100-000001873 and targets enterprises, cloud service providers, and national labs investing in state-of-the-art AI and HPC compute infrastructure.

Ideal for

• Training frontier-scale large language models (LLMs) and multimodal foundation models with parameter counts in the hundreds of billions to trillions, where 288GB HBM3E memory per accelerator reduces model parallelism overhead
• High-throughput LLM inference serving for enterprise AI platforms, supporting long-context windows and large batch sizes that require substantial per-accelerator memory capacity
• Scientific HPC simulations including molecular dynamics, climate modeling, and computational fluid dynamics that benefit from high memory bandwidth and FP64 compute throughput
• Fine-tuning and continued pre-training of large foundation models within regulated enterprise environments that require an open software stack (ROCm) for compliance and auditability
• Generative AI infrastructure for enterprises deploying on-premises AI clouds, where dense GPU clusters built on open OAM standards reduce proprietary hardware lock-in
• AI research and development in national laboratories and academic supercomputing centers requiring maximum memory per accelerator to explore novel model architectures and training techniques

Technical specifications

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