Radeon AI PRO
Whether you're running local AI, machine learning, or building a professional workstation, you'll find AMD Radeon AI PRO graphics cards for demanding AI workloads and memory-intensive applications here.
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AMD Radeon AI PRO Graphics Cards
AMD Radeon AI PRO graphics cards are powerful AI GPUs specifically designed for professional AI workloads. Whether you're working with large language models (LLMs), machine learning, generative AI, or data-intensive applications, Radeon AI PRO GPUs provide a powerful platform for local AI inference as well as professional workstation development and deployment, thanks to generous video memory, the latest RDNA 4 architecture, and AMD ROCm support.
Overview of Radeon AI PRO GPU Models
The Radeon AI PRO series currently consists of two models:
| Feature | Radeon AI PRO R9600 | Radeon AI PRO R9700 |
|---|---|---|
| Architecture | AMD RDNA 4 | AMD RDNA 4 |
| Video Memory | 32 GB GDDR6 | 32 GB GDDR6 |
| PCIe Interface | PCIe 5.0 x16 | PCIe 5.0 x16 |
| Memory Bandwidth | 640 GB/s | 640 GB/s |
| Compute Units | 48 | 64 |
| Stream Processors | 3,072 | 4,096 |
| AI Accelerators | 96 | 128 |
| FP16 Matrix Performance | 99 TFLOPS | 191 TFLOPS |
| INT8 Performance | 199 TOPS | 383 TOPS |
Radeon AI PRO R9600 vs. Radeon AI PRO R9700
The AMD Radeon AI PRO R9600 and Radeon AI PRO R9700 are both based on the RDNA 4 architecture and feature 32 GB of GDDR6 memory as well as AMD ROCm support.
The biggest difference is compute performance: the Radeon AI PRO R9700 offers more Compute Units, Stream Processors, and AI Accelerators, making it the better choice for larger AI models and demanding AI workloads. The Radeon AI PRO R9600, on the other hand, is an excellent solution for local AI applications, machine learning, and developing with small to medium-sized LLMs.
The Right Radeon AI PRO Graphics Card for Your Workload
| Use Case | Recommendation |
|---|---|
| Local AI Models (e.g. Ollama, LM Studio) | Radeon AI PRO R9600 |
| Image Generation & Generative AI | Radeon AI PRO R9600 |
| Machine Learning & AI Development | Radeon AI PRO R9700 |
| Large LLMs & Demanding AI Inference | Radeon AI PRO R9700 |
| Professional AI Workstations | Radeon AI PRO R9700 |
| Enterprise Multi-GPU Workstations | Multiple Radeon AI PRO R9700 GPUs |
AMD ROCm for Professional AI Workloads
AMD ROCm (Radeon Open Compute) is AMD's open software platform for high-performance computing and artificial intelligence. The full ROCm platform is primarily designed for Linux systems and serves as the foundation for many professional AI and HPC workflows. It enables the use of the AI accelerators built into Radeon AI PRO graphics cards while supporting a wide range of frameworks and development tools for machine learning, deep learning, and local AI applications.
ROCm allows developers to build, train, and run AI models locally. Developers also benefit from support for widely used frameworks such as PyTorch, along with a constantly growing ecosystem of AI tools and libraries. This makes Radeon AI PRO GPUs an excellent choice for professional developers as well as organizations looking to run AI workloads on their own hardware.
What Are Radeon AI PRO Graphics Cards Used For?
Typical use cases for Radeon AI PRO GPUs include:
- Large Language Models (LLMs)
- Image Generation (Stable Diffusion, FLUX)
- Video Generation
- AI Coding Assistants
- RAG Applications
- Data Analytics
- Machine Learning
Why Is Local AI So Important?
With an AMD Radeon AI PRO graphics card, many AI applications can be run directly on your own workstation. Unlike cloud-based services, your models and data remain on your local system, improving both data security and control over sensitive information. At the same time, you avoid ongoing cloud costs and eliminate your dependency on an internet connection. Running AI workloads locally also reduces latency and delivers faster response times for many applications.
With an AI PC for developers or an AI PC for creators, you're ready to start working with local AI right away.
FAQ – AMD Radeon AI PRO Graphics Cards
Do AMD Radeon AI PRO graphics cards support ROCm?
Yes. AMD Radeon AI PRO graphics cards support AMD ROCm (Radeon Open Compute), making them ideal for machine learning, AI inference, high-performance computing, and a wide range of professional AI workloads.
Can I run Large Language Models (LLMs) locally on a Radeon AI PRO GPU?
Yes. With 32 GB of GDDR6 memory, Radeon AI PRO graphics cards are capable of running many local LLMs. Which models can be used depends on factors such as model size, quantization, and the software being used.
Which applications support AMD Radeon AI PRO graphics cards?
Radeon AI PRO GPUs are compatible with numerous AI frameworks and applications, including PyTorch, ONNX Runtime, Ollama, LM Studio, and ComfyUI, provided they support AMD ROCm.
What is the difference between the Radeon AI PRO R9600 and R9700?
Both graphics cards feature 32 GB of GDDR6 memory and are based on the RDNA 4 architecture. However, the Radeon AI PRO R9700 offers more Compute Units, AI Accelerators, and significantly higher AI compute performance, making it better suited for larger AI models and demanding workloads.
Can I install multiple Radeon AI PRO graphics cards in a workstation?
Yes. Professional workstations can be equipped with multiple Radeon AI PRO GPUs to accelerate parallel AI workloads and efficiently handle highly demanding compute tasks.
Which CPU is recommended for a Radeon AI PRO graphics card?
For AI graphics cards such as the Radeon AI PRO series, a modern multi-core processor with strong compute performance is recommended. Depending on your workload, AMD Ryzen, AMD Ryzen Threadripper, or Intel Core Ultra processors are excellent choices. For demanding AI workloads, training larger models, or multi-GPU systems, CPUs with high core counts provide the best performance.
What kind of cooling does a Radeon AI PRO graphics card require?
AMD Radeon AI PRO graphics cards are designed for professional continuous operation under heavy workloads. A workstation chassis with excellent airflow is recommended to ensure the GPU can sustain maximum performance during demanding AI workloads. For systems with multiple GPUs, a powerful case ventilation setup is essential.
What power supply do I need for a Radeon AI PRO graphics card?
The required PSU capacity depends on the graphics card model and the rest of your hardware. For AI workstations equipped with a Radeon AI PRO GPU, a high-quality power supply with sufficient headroom is recommended. Systems using multiple GPUs or powerful multi-core processors should use a correspondingly higher-capacity PSU.
Are AMD Radeon AI PRO graphics cards suitable for gaming?
Radeon AI PRO graphics cards can run games, but they are specifically designed for professional AI, compute, and workstation workloads. For gaming, AMD Radeon RX graphics cards are the better choice.