AMD Instinct MI350X AI Accelerator

The AMD Instinct MI350X accelerates large-scale AI training, inference and HPC in enterprise data centres. Its passive, air-cooled design and high-capacity memory help teams expand demanding workloads while keeping deployment practical in conventional infrastructure.

AMD Instinct MI350X AI Accelerator
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AMD Instinct MI350X Overview

As AI workloads grow denser, infrastructure teams are being asked to deliver more accelerator capacity, more memory, and steadier performance without pushing every deployment into specialist rack-scale designs.

AMD Instinct MI350X for Large-Scale AI and HPC

The AMD Instinct MI350X is a CDNA 4 OAM accelerator for large-scale AI training, inference and HPC in standard data-centre environments. It is suited to organisations that want MI350-class capability with a more conventional air-cooled deployment profile.

Designed for High-Capacity Workloads

With 288 GB of GPU memory and 8 TB/s of memory bandwidth, the platform is built for large models and data-heavy jobs that need room to move. It also supports 4600 TFLOPS of BF16 / FP16 performance, with a 1000 W TDP that aligns with serious production use.

Operational Fit for Production Environments

That combination helps teams expand training and inference capacity while keeping deployment more manageable. It supports faster iteration on larger workloads and gives infrastructure managers a practical path to add AI capability without unnecessary platform complexity.

Our team can help you assess the AMD Instinct MI350X for your environment and plan a deployment that fits your operational requirements.

AMD Instinct MI350X Key Features​

AMD Instinct MI350X is a data center accelerator for enterprise AI and HPC environments, designed to fit large-scale compute platforms that need dense performance, high memory capacity, and broad workload consistency.

Accelerated AI Compute Density

High-Throughput Matrix Processing
The MI350X delivers BF16 and FP16 performance up to 4600 TFLOPS for demanding AI training and inference workloads.

Large On-Device Memory Pool
The platform provides 288 GB of GPU memory to support larger models and data sets within a single accelerator environment.

Bandwidth-Driven Data Movement
The memory subsystem provides 8 TB/s of bandwidth to sustain rapid access to working data during compute-intensive execution.

Enterprise HPC Alignment
The MI350X is suited to distributed AI and high-performance workloads that benefit from dense accelerator throughput and high memory capacity.

Platform Stability And Scale

Workload-Conscious Capacity Planning
The large memory footprint helps reduce memory pressure when deploying models and applications that need substantial local accelerator capacity.

Consistent Performance Envelope
High compute throughput and memory bandwidth work together to support sustained execution across data-intensive enterprise workloads.

Deployment-Focused Acceleration
The card is intended for integration into data center platforms where accelerator density and predictable workload behavior are operational priorities.

Speak to an AMD Server Specialist

If you are balancing large model requirements with platform density, our team can help align AMD Instinct MI350X configurations to your AI and HPC deployment goals.

AMD Instinct MI350X Technical Specifications

Full specifications for this model are listed below.

Additional information

Evaluating whether this is the right fit for your environment?

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AMD Instinct MI350X Deployment Scenarios

The AMD Instinct MI350X is designed for enterprise AI and HPC workloads that need high accelerator memory and bandwidth in conventional server environments. It fits organisations that want strong model performance without moving to the most specialised rack-scale or liquid-cooled deployment.

Enterprise AI Data Centre Rollouts

In enterprise and cloud data centres, the MI350X supports training and inference on standard air-cooled AI servers where power, cooling and space are already tightly managed. Teams can add capacity without redesigning the facility around denser infrastructure.

Model Development And Fine-Tuning Platforms

Software development teams building and tuning large models need room for iteration, faster training cycles and fewer compromises when working with bigger workloads. The MI350X helps keep development moving in existing data-centre environments without excessive deployment complexity.

Private AI For Financial Services

Finance teams running fraud, risk, compliance and customer service models need private infrastructure that keeps sensitive data under control. The MI350X supports these workloads on-premises or in hosted estates where resilience, privacy and operational practicality all matter.

Clinical Research And Medical AI

Healthcare organisations processing imaging, genomics and clinical AI workloads need reliable throughput for large datasets and controlled handling of patient information. The MI350X gives research and clinical teams more capacity while staying easier to deploy than specialist alternatives.

Rendering And Generative Production Pipelines

Media and entertainment studios using rendering, VFX and generative content pipelines need high throughput for complex scenes and large models. The MI350X helps reduce production queues in standard GPU server environments without forcing a major rack-scale redesign.

Planning an AMD Instinct MI350X Deployment?

We can help design and deploy AMD Instinct MI350X solutions for enterprise AI, finance, healthcare, software development and media production, with support for infrastructure fit, deployment planning and operational integration.

Tailored recommendations for your infrastructure

Below you’ll find alternative models, suitable software and services that pair with this solution – helping you to avoid compatibility issues, reduce support overhead and deploy with confidence.

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Not all deployments fit standard configurations. If you’re weighing up options or want a second opinion on your setup, our team is here to help with honest, straightforward advice backed by decades of vendor knowledge.

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