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    AMD Radeon AI Pro R9700 Graphics Cards

    Discover AMD Radeon AI PRO R9700 graphics cards with 32 GB GDDR6 for local AI and professional workstations.

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    Radeon AI PRO R9700 for Local AI and Professional Workstations

    The Radeon AI PRO R9700 is aimed at professional users looking for a powerful workstation GPU for compute-intensive projects. It combines a large memory capacity with professional drivers and AMD ROCm support – ideal for modern development and AI environments.

    Sapphire Radeon AI PRO R9700 32GB graphics card

    The Benefits of the Radeon AI PRO R9700

    32 GB GDDR6 Graphics Memory

    With 32 GB of GDDR6 VRAM, the Radeon AI PRO R9700 provides ample memory for extensive model weights, larger context windows, high-resolution image models, and other memory-intensive AI and compute workloads.

    This allows you to use applications and models that exceed the memory capacity of a 16 GB graphics card.

    AMD RDNA 4 Architecture

    The latest RDNA 4 architecture with AI Accelerators delivers high compute performance for AI applications and professional workloads.

    ROCm Support

    The Radeon AI PRO R9700 supports AMD ROCm for AI and compute workloads. The exact range of functions depends on the operating system, ROCm version, and framework.

    Linux currently offers more comprehensive ROCm support. On Windows, PyTorch with ROCm components is available, among other options, although the complete ROCm stack is not yet supported.

    Ideal for Multi-GPU Systems

    A Radeon AI PRO R9700 is generally suitable for use in multi-GPU workstations. Many models feature a compact dual-slot design, making it easier to install multiple graphics cards.

    Suitable Hardware for the Radeon AI PRO R9700

    For powerful single-GPU workstations, AMD Ryzen 9000 and Intel Core Ultra processors are suitable choices.

    Users who work with larger datasets or want to install multiple expansion cards can opt for AMD Ryzen Threadripper or Threadripper PRO or Intel Xeon W. These platforms provide more PCIe lanes, higher memory capacities, and extensive expansion options.

    For multi-GPU systems, AI servers, and professional computing platforms, AMD EPYC and Intel Xeon server processors are also suitable. Depending on the platform, they provide numerous PCIe lanes, large memory capacities, and extensive expansion options for demanding AI workloads.

    Make sure to choose a compatible motherboard, sufficient system memory, enough space between the PCIe slots, suitable case cooling, and a high-quality power supply with adequate headroom.

    For workstation and server platforms, you should also check whether the motherboard, BIOS, and case support the graphics card. Whether ECC memory can be used depends on the processor, motherboard, and BIOS.

    Difference Between an AMD Radeon AI PRO R9700 and a Radeon RX 9070 XT

    Feature Radeon AI PRO R9700 Radeon RX 9070 XT
    Target Audience AI development and professional workstations Gaming and home multimedia PCs
    Graphics Memory 32 GB GDDR6 16 GB GDDR6
    Typical Use Local LLMs, AI inference, and workstation workloads Gaming at high resolutions

    Both GPUs are based on AMD's RDNA 4 architecture but are designed for different target groups.

    With 32 GB, the Radeon AI PRO R9700 offers twice as much graphics memory and is designed for local AI and professional workstation applications. Users primarily interested in gaming will generally get better value for money from a Radeon RX 9070 XT.


    FAQ – Radeon AI PRO R9700 Graphics Cards

    Does the Radeon AI PRO R9700 Support AMD ROCm?

    Yes, the Radeon AI PRO R9700 supports AMD ROCm. AMD provides guides for ROCm, OpenCL, and PyTorch environments, among other resources.

    Before purchasing, check the latest ROCm compatibility information to confirm which operating systems, frameworks, and versions are supported.

    Can I Use Multiple Radeon AI PRO R9700 Graphics Cards in One Workstation?

    Yes. Thanks to its dual-slot design, the Radeon AI PRO R9700 is suitable for multi-GPU configurations in compatible workstations, allowing you to increase compute performance for demanding AI workloads.

    What Power Supply Do I Need for a Radeon AI PRO R9700?

    AMD recommends a power supply of at least 750 watts for a system with a Radeon AI PRO R9700.

    Since the graphics card has a typical board power of 300 watts, the power supply should also provide sufficient headroom for the processor, storage drives, and other components. Multi-GPU systems require an individual power calculation.

    Can I Also Play Games with a Radeon AI PRO R9700?

    Yes, although the Radeon AI PRO R9700 was not designed primarily for gaming.

    Radeon RX graphics cards generally offer better value for money for current games, as well as drivers and features optimised for gaming.