Placa gráfica Sapphire Radeon AI PRO R9700 — 32 GB GDDR6, 256-bit, PCIe 5.0, refrigeração ativa (1 ventoinha)

Sapphire AMD RADEON AI PRO R9700 32 GB GDDR6 is a professional discrete graphics card built on the Radeon AI PRO R9700 GPU. It provides 32 GB of GDDR6 memory on a 256-bit memory bus and connects via PCI Express x16 5.0. The card features active cooling with a single fan and multiple display outputs, and it is intended to accelerate local AI workloads and handle large machine learning data sets.

Advantages

The card combines a high-capacity 32 GB GDDR6 frame buffer with a 256-bit memory interface to support large models and datasets. PCIe 5.0 x16 interface ensures high bandwidth to the host system. Active single-fan cooling provides compact thermal management suitable for workstation builds. Multiple DisplayPort outputs allow multi-monitor configurations for visualization and development workflows.

Suitable for

• Local AI model training and inference for medium to large models
• Data preprocessing and machine learning dataset handling
• Workstation visualization and multi-monitor development setups
• GPU-accelerated compute tasks in AI frameworks that support Radeon GPUs

Key specifications

• GPU: Radeon AI PRO R9700
• Video memory: 32 GB GDDR6
• Memory bus: 256-bit
• Interface: PCI Express x16 5.0
• Cooling: active, single fan
• Power connectors: dual 6-pin (300 W TDP indicated)
• Display outputs: four DisplayPort

How to use

Install the card into a free PCI Express x16 slot on a compatible motherboard that supports PCIe 5.0 or PCIe-compatible modes. Connect the required two 6-pin power connectors from the system power supply. Install appropriate Radeon PRO or AMD driver packages and any vendor-supplied software to enable GPU acceleration in supported machine learning frameworks. Configure display connections via the DisplayPort outputs and verify cooling clearance and airflow within the chassis.

Recommendations

For AI workloads, use vendor-recommended drivers and updated machine learning frameworks that list support for Radeon GPUs. Ensure sufficient PSU capacity and proper case airflow; monitor GPU temperature during extended compute sessions. For best results with large models, pair the card with a CPU and system memory that avoid creating I/O bottlenecks.