AMD Instinct™ MI400 Series GPUs
Leadership Frontier AI, Sovereign AI, and HPC
AMD Instinct™ MI400 Series GPUs deliver an open, AMD ROCm™ software-based foundation—scaling from hyperscale deployments to HPC, sovereign and research environments. Built on open standards plus virtualization and partitioning for resource allocation, AMD Instinct MI400 Series GPUs keep models, tools, and operations consistent at scale.
The portfolio spans the AMD Helios™ rackscale solution powered by 72 AMD Instinct MI455X GPUs for frontier AI and the AMD Instinct MI430X GPU for sovereign AI and HPC — enabling customers to select the right platform for their needs without sacrificing consistency, flexibility, or scalability.
Under the Hood
AMD Instinct GPUs are built on AMD CDNA™ architecture, which offers advanced chiplet, HBM memory and Cache, and AMD Infinity Fabric™ technologies to AMD Instinct GPUs. AMD CDNA architecture offers matrix and vector core technologies for support of a broad range of datatype capabilities—from the highly efficient OCP MXFP 8/6/4 (including INT8, and FP16/BF16 sparsity support for AI), to the most demanding FP64 for HPC.
Benefits
- Rack Design
- Leadership Performance
- GPU Advancements
- Software & Ecosystem
Rack Design
Fully Integrated AI Infrastructure Solution for Scale
The AMD Helios rackscale solution design is a fully integrated AI infrastructure, combining the latest AMD Instinct™ GPUs, AMD EPYC™ Server CPUs, AMD Pensando™ networking, designed using open industry standards enabling large-scale inference, frontier model training and fine-tuning.
Leadership Perfomance
Leadership GPU and Rack Performance
The AMD Helios rackscale solution offers tremendous rack-level AI factory output — exaFLOP-class performance engineered for hyperscale inference, training, and fine-tuning at massive scale. At rackscale, AMD Helios offers up to 2.9 exaFLOPS peak OCP MXFP4, 1.4 exaFLOPS peak OCP MXFP8, 31 TB of HBM4 memory, and 1.67 PB/s of memory bandwidth.
GPU Advancements
Advanced GPU Packaging Enables Next-Gen AI Scaling
The AMD Instinct™ MI455X GPU brings key innovations to enable next-Gen AI scaling. The chiplet architecture optimizes compute, memory, cache, and I/O functions independently for performance, power and manufacturing enhancements. The AMD Instinct MI455X GPU stacked 3D hybrid bonded compute dies use high-density interconnects to provide higher compute density and improved performance.
The integrated 432 GB (12 stacks) of next-gen HBM4 memory with 23.3 TB/s bandwidth allow for larger models, KV caches, and activations to remain resident in local memory.
All tied together with our high-bandwidth AMD Infinity Fabric™ interconnect for low-latency communications on an advanced CoWoS-L package to enable the next generation of AI Scaling.
Software & Ecosystem
Open Software Freedom, Built to Scale
AMD ROCm™ software enables the AMD Helios rackscale solution with AMD Instinct MI455X platforms, converting kernel-level GPU innovations into reliable production results for inference, training, and fine-tuning. ROCm software enables predictable distributed execution with communication primitives (RCCL), KV-cache optimizations, and compute/communication overlap tuned for exaFLOP-class scale.
Exascale-proven and operator-ready, AMD ROCm software helps customers deploy faster, scale reliably from rack to Exascale-class systems, and maintain portability across the AMD Helios rackscale solution with AMD Instinct MI455X and MI430X GPUs and platform deployments.
Most Powerful Rack-Scale AI Infrastructure1
Leadership Rack Performance for Hyperscale AI
The AMD Helios rackscale solution design is a fully integrated AI infrastructure, combining the latest AMD Instinct™ GPUs, AMD EPYC™ Server CPUs, AMD Pensando™ networking, designed using open industry standards enabling large-scale inference, frontier model training and fine-tuning.
Leadership Performance for Frontier AI
Meet the AMD Instinct™ MI400 Series GPUs
AMD Instinct™ MI455X GPU
Built on 5th Gen AMD CDNA™ architecture, the AMD Instinct™ MI455X GPU is designed specifically for the AMD Helios rackscale solution offering leadership AI performance for frontier AI supporting modern AI capability for inference, training, and fine-tuning.
AMD Instinct MI455X GPU Specs Comparisons
Up to 26% the AI performance vs. competitive GPUs2
- AI Performance
- Memory
AI Performance
(Peak PFLOPS)
FP4
FP8 | FP6
FP16 | BF16
AMD Instinct MI455X
NVIDIA Vera Rubin
Memory
Memory Capacity
Memory Bandwidth
AMD Instinct MI455X
NVIDIA Vera Rubin
AMD Instinct™ MI430X GPU
Supercharging AI for Science and HPC
AMD Instinct™ MI430X GPU is designed for scientific HPC and sovereign AI, combining FP64 accuracy for simulation and modeling with modern AI capability for inference, training, and fine-tuning.
Built on an Open Software Ecosystem
Case Studies
AMD Instinct Deployment Options
Frequently Asked Questions
- AMD Helios Rackscale Solution
- AMD Instinct MI455X GPUs
- AMD Instinct MI430X GPUs
AMD Helios Rackscale Solution
The AMD Helios rackscale solution is the first rackscale AI reference design from AMD, built fully on Meta’s new Open Rack Wide (ORW) standard submitted to the Open Compute Project (OCP). It combines 72 AMD Instinct MI455X GPUs, AMD EPYC™ CPUs, and AMD Pensando™ DPUs along with other leading components in an open, double-wide ORW rack designed for today’s AI-scale datacenters.
At OCP Global Summit, Meta introduced a new Open Rack for AI featuring the ORW form factor. AMD is aligning with this open design through the AMD Helios rackscale solution, showing the first full rack built on ORW standards. It demonstrates the AMD commitment to openness — from silicon to system to rack to large-scale clusters.
Earlier OCP racks were single-wide, focused on general-purpose servers. ORW introduces a double-wide rack optimized for high-density AI systems, providing higher power, liquid cooling, and wider trays to accommodate large accelerator nodes. The AMD Helios rackscale solution leverages ORW to integrate GPUs, CPUs, DPUs, and other components into a unified, serviceable, easily deployable AI system.
A full AMD Helios rackscale solution delivers up to 1.4 exaFLOPS of FP8 compute, 2.9 exaFLOPS of FP4 compute and 31 TB of HBM4 memory, enabling trillion-parameter AI training and large-scale AI inference.
Each AMD Instinct MI455X GPU uses next-gen AMD CDNA™ architecture, with 432 GB HBM4 of memory and up to 19.6 TB/s bandwidth — ideal for frontier-class AI models inference and training. Each GPU delivers up to 40 PFLOPS FP4 and 2.9 EF FP4 per AMD Helios rackscale solution.
The AMD Helios rackscale solution is the first double-wide ORW rack solution built for real-world operations, combining modular trays and easy serviceability with sustained performance in power-constrained datacenters. It reduces fragmentation by replacing proprietary, one-off designs with open standards — including OCP, UALink, and UEC — enabling efficient, high-performance AI clusters at scale.
It’s a reference design, not a product for sale. The AMD Helios rackscale solution is a blueprint for OEM and ODM partners to build their own branded systems based on open ORW standards.
The platform is powered by AMD ROCm™, an open-source AI and HPC software stack with Day-0 support for PyTorch, TensorFlow, JAX, ONNX Runtime, vLLM, and Triton. It scales from a single GPU to multi-rack superclusters and avoids vendor lock-in.
The AMD Helios rackscale solution reference design is being shared with partners now, with volume deployments expected in 2H 2026.
AMD Instinct MI455X GPUs
AMD Instinct™ MI455X GPUs power AMD Helios rackscale solution and provide the leadership per-device capability that aggregates through repeatable 4-GPU trays into the 72-GPU AMD Helios to realize predictable, serviceable exaFLOP-class results.
AMD Instinct™ MI455X GPUs provide:
- Up to 40 PFLOPs peak 4-bit performance
- Up to 20 PFLOPs peak 8-bit performance
- 432 GB HBM4
- 23.3 TB/s memory bandwidth
These capabilities aggregate through repeatable 4-GPU trays into the 72-GPU AMD Helios rackscale solution.
Memory has become one of the most important considerations for AI infrastructure as models continue to increase in size and complexity. Each AMD Instinct MI455X GPU provides 432 GB of HBM4 memory, while a full Helios rack delivers 31 TB of HBM4 memory. Combined with high memory bandwidth, this enables customers to support larger models, reduce infrastructure complexity and efficiently scale memory-intensive inference and training workloads.
AMD Instinct MI430X GPUs
AMD Instinct™ MI430X GPU is a new GPU purpose-built for sovereign AI, scientific computing and high-performance computing (HPC). AMD Instinct MI430X GPU is designed to support converged AI and HPC workloads by combining industry-leading HBM4 memory, high-performance FP64 compute and the open AMD ROCm™ software platform. By offering 288 TFLOPS peak hardware-based FP64 performance, AMD Instinct MI430X is built to help governments, research institutions and national laboratories tackle the world's most demanding simulations and AI applications.
Scientific computing and sovereign AI increasingly require infrastructure capable of supporting both traditional HPC and modern AI. AMD Instinct MI430X enables organizations to consolidate these workloads on a single platform while improving efficiency, simplifying infrastructure and maintaining the openness and flexibility required for national-scale deployments.
For AI gigafactories and high-performance computing centers, AMD Instinct MI430X is designed to deliver the numerical fidelity and throughput required for the most demanding workloads. As next-generation AI models increasingly rely on training data generated from high-fidelity simulations, AMD Instinct MI430X helps researchers and institutions build AI systems on accurate scientific data – enabling greater confidence in AI-driven discovery across fields such as climate science, materials research, nuclear engineering and fluid dynamics.
AMD Instinct™ MI430X GPUs deliver uncompromised accuracy and throughput across converged HPC and AI workflows, with 288 TFLOPS hardware-based FP64 for scientific computing alongside support for modern AI data types and software capabilities. With industry-leading 432GB of HBM4 and 2.3 TB/s memory bandwidth, AMD Instinct MI430X is built for large simulations and memory-intensive models – reducing server count, lowering infrastructure complexity, and improving efficiency when scaling massive datasets.
Yes, the next US DOE/ORNL Discovery system and two European systems the Alice Recoque and Herder systems are expected to be deployed with AMD Instinct MI430X GPUs.
Powered by AMD ROCm™ software, AMD Instinct MI430X provides an open foundation with programming models, compilers, libraries, runtimes, and deployment tools for both HPC and AI. This commitment to open standards supports interoperability and long-term portability across software, system, and networking choices – helping sovereign operators innovate without lock-in.
The AMD Instinct MI430X is estimated to have 8.7X better hardware-based FP64 peak FLOP performance over Nvidia Vera Rubin.
ENDNOTE: AMD Instinct MI400-001A - Based on engineering projections by AMD performance labs in July 2026, to estimate peak theoretical precision of the AMD Instinct™ MI430X GPU using FP64 (Vetor) datatype vs. AMD Instinct MI300X GPU vs. Nvidia Rubin GPU. Results subject to change when products are released in market.
The AMD Instinct MI430X GPUs are expected to be available in 2027. More details will be provided in the future.
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Footnotes
- Based on calculations by AMD Performance Labs in June 2026, to determine the peak theoretical precision performance of an AMD Helios Rackscale Solution using peak Matrix FP16, BF16, INT8 datatypes and peak Open Compute Project MXFP6, MXFP8, FP8 and MXFP4 datatypes vs. NVIDIA Vera Rubin NVL72 with NVFP4 Dense datatype with FP8/FP6 datatypes. System manufacturers may vary configurations, yielding different results. MI400-005
- Based on calculations by AMD Performance Labs in June 2026, to determine the peak theoretical precision performance of an AMD Instinct™ MI455X GPU using the peak Matrix FP16, BF16, INT8 datatypes and peak Open Compute Project MXFP6, MXFP8, FP8 and MXFP4 datatypes vs. published preliminary specifications of NVIDIA Vera Rubin GPU with the NVFP4 Dense datatype. System manufacturers may vary configurations, yielding different results. MI400-003
- Calculations by AMD Performance Labs in June 2026, based on published memory capacity and memory bandwidth of AMD Instinct™ MI455X and MI430X GPUs vs. the published memory capacity and memory bandwidth specifications of a NVIDIA Vera Rubin GPU. System manufacturers may vary configurations, yielding different results. MI400-004
- Based on AMD Performance Labs calculations (June 2026) using an AMD Instinct™ MI455X GPU, peak theoretical precision performance (FP32, FP16, BF16, MXFP6, MXFP8, FP8, MXFP4 Matrix/Vector), compared to published specifications for AMD Instinct™ MI355X, MI350X, MI325X, MI300X, MI250X, and MI100 GPUs. Results may vary by system configuration and datatype. MI400-006
- Based on calculations by AMD Performance Labs in June 2026, to determine the peak theoretical precision performance of an AMD Helios Rackscale Solution using peak Matrix FP16, BF16, INT8 datatypes and peak Open Compute Project MXFP6, MXFP8, FP8 and MXFP4 datatypes vs. NVIDIA Vera Rubin NVL72 with NVFP4 Dense datatype with FP8/FP6 datatypes. System manufacturers may vary configurations, yielding different results. MI400-005
- Based on calculations by AMD Performance Labs in June 2026, to determine the peak theoretical precision performance of an AMD Instinct™ MI455X GPU using the peak Matrix FP16, BF16, INT8 datatypes and peak Open Compute Project MXFP6, MXFP8, FP8 and MXFP4 datatypes vs. published preliminary specifications of NVIDIA Vera Rubin GPU with the NVFP4 Dense datatype. System manufacturers may vary configurations, yielding different results. MI400-003
- Calculations by AMD Performance Labs in June 2026, based on published memory capacity and memory bandwidth of AMD Instinct™ MI455X and MI430X GPUs vs. the published memory capacity and memory bandwidth specifications of a NVIDIA Vera Rubin GPU. System manufacturers may vary configurations, yielding different results. MI400-004
- Based on AMD Performance Labs calculations (June 2026) using an AMD Instinct™ MI455X GPU, peak theoretical precision performance (FP32, FP16, BF16, MXFP6, MXFP8, FP8, MXFP4 Matrix/Vector), compared to published specifications for AMD Instinct™ MI355X, MI350X, MI325X, MI300X, MI250X, and MI100 GPUs. Results may vary by system configuration and datatype. MI400-006