The AMD Radeon AI PRO R9700, unveiled at Computex 2025, represents a major leap forward in professional GPU technology. Designed specifically for AI workloads, local inference, and memory-intensive tasks, it targets developers, researchers, and professionals building AI-driven workstations. Built on AMD’s advanced RDNA 4 architecture, the R9700 utilizes a Navi 48 GPU, fabricated using TSMC’s 4nm N4P process. This next-generation design integrates 64 compute units, amounting to 4,096 stream processors, along with 128 second-generation AI accelerators, making it exceptionally capable in handling both precision and tensor-based operations.
Equipped with 32GB of GDDR6 memory on a 256-bit memory interface, the card delivers an impressive 640 GB/s bandwidth, ideal for handling large AI models and datasets. It connects via a PCIe 5.0 x16 interface, offering cutting-edge throughput for high-speed data exchange. For display output, the R9700 includes four DisplayPort 2.1 ports, supporting high-resolution, high-refresh rate displays often used in professional environments. With a 300W TDP, it draws power via dual 8-pin connectors and features a blower-style cooling system, optimized for multi-GPU workstation and server deployments.
Performance-wise, the R9700 is built for AI. It delivers 96 TFLOPS of FP16 (half-precision) compute performance and reaches up to 1,531 TOPS (INT4 Sparse) for optimized low-precision AI workloads. The 32GB VRAM capacity makes it well-suited for running and fine-tuning demanding models such as DeepSeek R1 Distill Qwen 32B Q6, Mistral Small 3.1 24B, Flux 1 Schnel, and Stable Diffusion 3.5 Medium. In real-world benchmarks, the R9700 shows up to 2x the performance of the Radeon PRO W7800 and outperforms NVIDIA’s RTX 5080 (16GB) by as much as 5x in memory-constrained AI scenarios.
One of the R9700’s key strengths is scalability. It supports 4-way multi-GPU configurations over PCIe 5.0, allowing users to combine up to four cards in a single system. This offers a massive 128GB of effective VRAM, enabling local inference and model training for ultra-large models like Mistral 123B and DeepSeek R1 70B. These models can consume up to 112-116 GB of VRAM.
The card will officially launch in July 2025, and AMD has partnered with top vendors like ASUS, ASRock, GIGABYTE, PowerColor, Sapphire, XFX, and Yeston to bring a variety of models to market. With its high performance, robust memory capacity, and focus on AI-specific tasks, the Radeon AI PRO R9700 is set to become a top choice for professionals seeking powerful, scalable, and cost-efficient solutions in the AI and ML development space.
