AMD Instinct MI210 64GB PCIe Accelerator

The AMD Instinct MI210 64GB PCIe Accelerator is built on AMD's CDNA2 compute architecture, delivering high-performance double-precision floating-point throughput optimized for scientific computing, high-performance computing (HPC), and AI inference workloads. Featuring 64 GB of HBM2e memory with a 512 GB/s memory bandwidth, the MI210 provides the large memory footprint and bandwidth essential for memory-intensive simulations, large-scale linear algebra operations, and deep learning model inference at scale.

The MI210 operates in a standard PCIe Gen 4 x16 form factor, enabling deployment into existing server infrastructure without requiring specialized compute nodes. With 45.3 TFLOPS of FP16 peak performance and 22.6 TFLOPS of FP64 peak performance, the card addresses the demanding numerical precision requirements of climate modeling, computational fluid dynamics, molecular dynamics, and financial risk analytics. AMD Matrix Cores within the CDNA2 architecture accelerate mixed-precision matrix operations central to transformer-based AI models and dense linear algebra.

The MI210 supports AMD ROCm, the open-source GPU compute platform, enabling compatibility with HIP, OpenMP offload, and popular machine learning frameworks including TensorFlow and PyTorch. With a 300 W TDP and passive cooling design suited to datacenter airflow, the MI210 integrates into standard 1U and 2U rack servers. The card's support for PCIe Peer-to-Peer communication and AMD Infinity Fabric Link-capable board designs enables multi-accelerator scaling within a single server node.

Ideal for

• Large-scale HPC simulations including computational fluid dynamics, climate modeling, and molecular dynamics requiring high FP64 throughput and large memory capacity
• AI and deep learning inference deployments running transformer and convolutional neural network models that benefit from the 64 GB HBM2e memory footprint
• Financial services risk analytics and Monte Carlo simulations demanding sustained double-precision compute performance in rack-standard server slots
• Scientific research computing clusters requiring PCIe-based GPU acceleration that integrates into existing server hardware without platform redesign
• Mixed-precision training and inference workloads leveraging AMD Matrix Cores for accelerated GEMM operations within ROCm-compatible software environments
• Oil and gas seismic processing and geophysical imaging workloads requiring high memory bandwidth and FP64 precision in datacenter-deployed servers

Technical specifications

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