The AMD Instinct MI450 is a next-generation data-center AI accelerator from the AMD Instinct MI400 series, built on the AMD CDNA 5 architecture and supported by the open AMD ROCm software stack. "MI450" is AMD's roadmap name for this generation; the productized SKUs are the MI455X (for frontier AI) and the MI430X (for sovereign AI and HPC).
A single GPU integrates 432 GB of next-gen HBM4 memory (12 stacks) with 23.3 TB/s of bandwidth, keeping larger models, KV caches and activations resident locally. The chips connect via AMD Infinity Fabric and are designed for AMD Helios rack-scale systems.
In the AMD Helios rack-scale configuration the solution reaches up to 2.9 exaFLOPS in OCP MXFP4 and 1.4 exaFLOPS in MXFP8, with 31 TB of HBM4 memory and 1.67 PB/s of bandwidth. The MI400 parts target frontier AI (training and inference) in data centers; announced deployments and partnerships include OpenAI, among others. Launch: 2026.
AI Accelerator
Which group AMD Instinct MI450 belongs to and how it is built
An AI Accelerator is a specialized hardware component designed for efficient execution of artificial intelligence computations, particularly neural network inference, computer vision processing, and sensor data analysis. In robotics, AI accelerators are used to run perception models, object recognition, image segmentation, planning, and other tasks that require high computational throughput under constrained power budgets. They may take the form of dedicated NPU, TPU, VPU, or GPU chips, or specialized embedded modules.
A data-center AI accelerator card is a design class describing the construction of high-performance compute processors (GPUs/accelerators) intended for mounting in data-center servers. It is characterised by: an SXM form factor (a module soldered onto an HGX/DGX baseboard) or a dual-slot PCIe card; high-bandwidth memory (HBM2e/HBM3/HBM3e) integrated on-package; dedicated GPU-to-GPU interconnects (NVLink, Infinity Fabric) with hundreds of GB/s of bandwidth; high TDP (350โ1000 W) requiring air or liquid cooling; support for virtualisation/partitioning (MIG) and low-precision compute formats (FP8/FP16/BF16/INT8). The class includes designs such as NVIDIA H100/H200/A100, AMD Instinct MI300, Google TPU, and Intel Gaudi. It describes physical construction and configuration, not the functional role (which is given by the component type "AI Accelerator").
Basic physical properties of AMD Instinct MI450 โ dimensions, weight and materials
