AMD Instinct MI250X

AMD Instinct MI250X
Name	AMD Instinct MI250X
Caption	An AMD Instinct MI250X OAM module.
Designer	Advanced Micro Devices
Launched	2021
Codename	Aldebaran
Fab	TSMC
Process	6 nm
Numcores	220 Compute Units
Memory	128 GB HBM2e
Memory bandwidth	3.2 TB/s
Power	~560 W
Predecessor	AMD Instinct MI100
Successor	AMD Instinct MI300

AMD Instinct MI250X. It is a high-performance GPU accelerator designed by Advanced Micro Devices for exascale computing and advanced artificial intelligence workloads. Launched in 2021 as part of the AMD CDNA 2 architecture family, it represents a significant leap in computational density and memory bandwidth for data center and supercomputer deployments. The processor is a foundational component of several leading TOP500 systems, including the record-setting Frontier at Oak Ridge National Laboratory.

Overview

The accelerator was developed under the codename "Aldebaran" and manufactured by TSMC using an advanced 6 nm lithography process. It is packaged in an OAM form factor, designed for high-density server deployments in systems like the HPE Cray EX. Its primary design focus is to deliver exceptional performance for double-precision high-performance computing and mixed-precision AI training, positioning it as a key competitor to offerings from Nvidia and Intel. The launch was a strategic move by Advanced Micro Devices to capture a larger share of the HPC and hyperscale datacenter markets.

Specifications

The processor integrates 220 Compute Units, yielding a total of 14,080 stream processors. It is equipped with 128 GB of HBM2e memory, delivering an exceptional 3.2 TB/s of memory bandwidth. For computational precision, it offers 47.9 TFLOPS of peak double-precision performance and 383 TFLOPS of peak FP32 performance. Its board power is rated at approximately 560 watts. These specifications represented a substantial generational improvement over its predecessor, the AMD Instinct MI100, particularly in memory capacity and FP64 compute throughput.

Architecture

The core is built on the second-generation AMD CDNA 2 architecture, which introduces a chiplet design with two Graphics Compute Dies connected via a high-bandwidth Infinity Fabric interconnect. This MCM approach allows for efficient scaling of compute and memory resources. The architecture includes enhanced Matrix Core technology to accelerate mixed-precision operations critical for machine learning algorithms. Key architectural features also include full support for AMD Infinity Hub technology, enabling coherent memory pooling across multiple accelerators and AMD EPYC CPUs within a node.

Performance

In real-world deployments, it has demonstrated leading performance in traditional HPC applications. It achieved record-breaking results on the HPL-AI benchmark, a metric for converged HPC and AI performance. Within the Frontier system, these accelerators enable sustained exascale performance on complex scientific workloads ranging from computational fluid dynamics to molecular dynamics simulations. Its performance in AI training benchmarks, such as those for large language models, also proved highly competitive, challenging the dominance of Nvidia A100 in the datacenter.

Software and ecosystem

Programming and optimization are supported through the open-source ROCm software platform, which includes compilers, libraries, and tools. Key libraries like HIP and MIOpen provide optimized kernels for deep learning and linear algebra. The ecosystem benefits from integration with popular frameworks like PyTorch and TensorFlow, as well as containerization through Docker and Singularity. Support for standard programming models like OpenMP and MPI is also robust, facilitated by tools from partners like HPE and Cray.

Applications

Its primary applications are in building the world's most powerful supercomputers for national laboratories and research institutions. Beyond Frontier, it powers systems like the LUMI in Finland and the Adastra in France. These systems tackle grand-challenge problems in fields such as climate modeling, drug discovery, astrophysics, and nuclear fusion research. In commercial settings, it is deployed for large-scale AI model training, financial modeling, and computational chemistry simulations by hyperscale cloud providers and enterprise data centers.

Category:Graphics processing units Category:Advanced Micro Devices Category:Supercomputer hardware