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    Sapphire AI PRO Radeon AI Pro R9700 32358-01-20G 32GB 256-bit GDDR6 PCI Express 5.0 x16 Graphics Card

    • Radeon AI Pro R9700
    • 32GB GDDR6
    • PCI Express 5.0 x16
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    +
    Overview
    Specs
    Reviews (6)
    Sapphire AI PRO Radeon AI Pro R9700 Graphics Card
    Sapphire AI PRO Radeon AI Pro R9700 Graphics Card
    Accelerating AI With AMD

    AMD Radeon™ AI PRO Series graphics cards are designed to accelerate advanced AI experiences and work on multiple machine learning frameworks, speeding up local AI workloads and processing large machine learning data sets.

    AMD RADEON AI PRO SERIES
    Sapphire AI PRO Radeon AI Pro R9700 Graphics Card
    Sapphire AI PRO Radeon AI Pro R9700 Graphics Card
    SUPERCHARGE YOUR WORKFLOW

    AMD Radeon™ AI PRO R9700 transforms the way you approach AI development. Cutting-edge RDNA™ 4 Architecture and 2nd-gen AI Accelerators delivers up to 2x better AI performance compared to the previous generation. Equipped with 32GB of dedicated video memory, it lets you tackle larger, more complex projects without limits. Purpose-built to accelerate AI workloads locally, Radeon™ AI PRO R9700 turns your ambitions into reality with the speed and capacity your workflow demands.

    Sapphire AI PRO Radeon AI Pro R9700 Graphics Card
    PUSH BEYOND DESKTOP LIMITS

    Unlocks lightning-fast data transfers and open a pathway to easy multi-GPU scalability with PCIe Gen 5 support. Designed specifically for AI developers who need to run large models locally, AMD Radeon™ AI PRO R9700 eliminates cloud dependencies, handles the most memory-intensive workloads, and scales with your needs.

    Built for AI-First Professionals.
    Sapphire AI PRO Radeon AI Pro R9700 Graphics Card

    1. Testing as of May 2025 by AMD using DeepSeek R1 Distill Llama 8B Benchmark. Tested on a System with AMD Ryzen Threadripper PRO 9995WX CPU, 512GB DDR5-6400 RAM, 4TB Storage, Ubuntu 24.04.2, AMD ROCm 6.4 with Radeon AI PRO R9700 (32GB) GPU vs. the same system with Radeon PRO W7800 (32GB) GPU. System configurations may vary yielding different results. RPW-494.

    © 2025 Advanced Micro Devices, Inc. All rights reserved. AMD, the AMD Arrow logo, Radeon, Radeon Pro, Radeon Al Pro, and combinations thereof are trademarks of Advanced Micro Devices, Inc. Certain AMD technologies may require third-party enablement or activation.

    Other product names used in this publication are for identification purposes only and may be trademarks of their own respective owners. Supported features may vary by operating system. Please confirm with the system manufacturer for specific features. No technology or product can be completely secure.

    Warranty & Returns

    Warranty, Returns, And Additional Information

    Warranty

    • Limited Warranty period (parts): 3 years
    • Limited Warranty period (labor): 3 years
    • Read full details

    Return Policies

      We want to ensure your holiday shopping this year is hassle-free. That’s why we’re automatically extending our return policies on almost every product! For purchases placed between November 1st, 2026 and December 31, 2026 you will have until January 31, 2027 to return your product.

    • Return for refund until: January 31, 2027
    • Return for replacement until: January 31, 2027
    • This item is covered by Newegg.ca's Extended Holiday Return Policy.
    • 15% restocking fee may apply.
    • Read full return policy for details.
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    The Sapphire AI PRO Radeon AI Pro R9700 is a workstation graphics card with 32GB of GDDR6 memory, designed for AI developers and professionals running machine-learning workloads locally or working with large datasets.

    Recommended For

    • Local LLM users who need to keep a roughly 27B–32B model in GPU memory for inference, especially when 16GB cards would require CPU offload or a lower quantization.
    • AI developers and researchers building local inference workflows who can use AMD ROCm or other supported backends and want 32GB of GPU memory for memory-intensive models.
    • ComfyUI and image-generation users who run larger models locally and value fitting more of the workflow in GPU memory over the fastest results on smaller models.
    • Workstation builders planning multi-GPU local AI systems who can provide the required power and platform capacity and want to combine GPU memory across cards for larger inference workloads.

    Real-World Use Scenarios

    • Running a local LLM for coding, research, or document questions: the 32GB of video memory can accommodate some larger models that may not fit on 16GB cards, so users can run inference on their own workstation instead of sending prompts to a cloud service.
    • Generating images in ComfyUI: creators can run diffusion models locally, with enough video memory for examples such as Flux.1 Schnell and Stable Diffusion 3.5 Medium, subject to model and workflow settings.
    • Building or testing AI applications with PyTorch and ROCm: developers can use the card to run inference experiments and evaluate models locally; the software stack and framework compatibility need to match the workload.
    • Serving larger models or more simultaneous AI requests with a multi-GPU workstation: multiple R9700 cards can pool capacity for inference workloads, though this is a more involved setup and software support varies by model and deployment.
    • Experimenting with local AI image and video generation: users can test different generative models and workflows on a desktop, but results depend on the chosen model, application support, and configuration.

    Spec Summary

    AttributeValue
    Best ForWorkstation graphics and AI-ready desktop use, with 32GB of GDDR6 memory
    GPU And ComputeAMD Radeon AI Pro R9700 with 4,096 stream processors; 2,350 MHz core/game clock and up to 2,920 MHz boost clock, based on RDNA 4 architecture
    Memory Configuration32GB GDDR6 on a 256-bit memory interface, with a 20 Gbps memory clock
    Interface And Display OutputsPCI Express 5.0 x16 card with four DisplayPort outputs; supports up to four displays and resolutions up to 8K
    Graphics CompatibilitySupports DirectX 12 Ultimate and OpenGL 4.6; HDCP ready
    Power Requirements300W power consumption; 750W recommended PSU
    Physical SpecificationsDual-slot design, 266.7 × 111 × 39 mm; maximum GPU length 267 mm; one fan, black finish, and 2 kg item weight
    Model IdentifiersSapphire AI PRO series, model 32358-01-20G (R9700)