Asus TURBO Radeon AI PRO R9700 32GB GDDR6 Video Card TURBO-AI-PRO-R9700-32G

Introducing the Asus TURBO Radeon AI PRO R9700 32GB GDDR6 Video Card—a purpose-built powerhouse that brings AMD Radeon™ AI PRO performance into compact workstations. Designed and engineered by Asus to tackle intensive AI, simulation, rendering, and professional computing tasks, this card balances raw compute capability with a space-conscious, thermally optimized design. With 32GB of high-speed GDDR6 memory, PCI-E 5.0 interface support, and outputs that drive ultra-high-resolution displays, the TURBO-AI-PRO-R9700-32G is ready to elevate demanding workflows while fitting into cramped chassis where airflow and longevity matter most.

Benefits

• Exceptional professional performance: Powered by the AMD Radeon AI PRO R9700 GPU and 32GB of GDDR6 memory on a 256-bit bus, this card delivers the memory capacity and bandwidth required for large datasets, complex models, and high-fidelity visual workloads—accelerating deep learning, scientific simulations, and multi-app creative pipelines.
• Compact-system optimized cooling: The blower-style cooler, die-cast shroud, and reinforced backplate are engineered for efficient exhaust of heat from compact workstations and rack-mounted systems, keeping critical thermal loads away from other components and maintaining sustained performance under heavy loads.
• Reduced memory temperatures for stable throughput: The unique wave thermal design and premium phase-change GPU thermal pad drive memory temps down by up to 16%, improving thermal headroom and allowing the card to maintain higher clocks and consistent performance during prolonged tasks.
• Reliable, long-lived components: Durable dual ball bearings and a reinforced mechanical structure provide robust operation in continuous-use environments, reducing maintenance needs and ensuring dependable uptime for production-critical systems.
• Future-ready connectivity and resolution: With PCI-E 5.0 interface compatibility and a rich array of outputs (3 × DisplayPort 2.1 and 1 × HDMI 2.1), the TURBO Radeon AI PRO R9700 supports multi-monitor, high-refresh, and ultra-high-resolution setups up to 7680 × 4320—perfect for detailed visualization and multi-stream displays.

Key features

• Feature: High-capacity GDDR6 memory — 32GB of GDDR6 on a 256-bit memory bus provides the headroom needed for large AI models, big datasets, and complex render scenes without frequent memory swapping.
• Feature: Tuned core clocks with GPU Tweak III — OC mode delivers up to 2940 MHz Boost Clock and up to 2370 MHz Game Clock (as adjusted via GPU Tweak III), giving you accessible performance tuning for burst and sustained workloads.
• Feature: Advanced thermal architecture — blower-style cooler, die-cast shroud, reinforced backplate, and a wave-designed thermal surface combine with a phase-change GPU thermal pad to maximize heat dissipation and reduce component temperatures under sustained load.
• Feature: Robust mechanical and bearing design — dual ball bearings ensure long-term fan durability and consistent cooling performance in continuous-operation environments common to professional workstations.
• Feature: Industry-leading connectivity and display support — PCI-E 5.0 interface and 3 × DisplayPort 2.1 plus 1 × HDMI 2.1 outputs enable multi-display, ultra-high-resolution (up to 7680 × 4320) and high-bandwidth workflows for visualization, simulation, and media production.

Summary

The Asus TURBO Radeon AI PRO R9700 32GB GDDR6 Video Card is engineered to bring workstation-class GPU power into compact systems without compromising thermal performance or reliability. Combining a high-memory configuration, optimized thermal solutions, durable components, and modern connectivity, it’s an ideal choice for professionals and teams running AI training and inference, complex rendering, large-scale simulations, and multi-display visualization. PC Builder rated and crafted by Asus, the TURBO-AI-PRO-R9700-32G delivers the performance density and deployment flexibility required by today’s demanding professional workflows.