AMD Radeon AI PRO R9700 GPU Arrives on July 23rd

AMD confirmed today that its RDNA 4‑based Radeon AI PRO R9700 GPU will reach retail on Wednesday, July 23. Built on the Navi 48 die with a full 32 GB of GDDR6 memory and supporting PCIe 5.0, the R9700 is specifically tuned for lower‑precision calculations and demanding AI workloads. According to AMD, it delivers up to 496% faster inference on large transformer models compared to NVIDIA’s desktop RTX 5080, while carrying roughly half the price of the forthcoming RTX PRO “Blackwell” series. At launch, the Radeon AI PRO R9700 will only be offered inside turnkey workstations from OEM partners such as Boxx and Velocity Micro. Enthusiasts who wish to install the card themselves can expect standalone boards from ASRock, PowerColor, and other add‑in‑board vendors later in the Q3. Early listings suggest a price of around $1,250, placing it above the $599 RX 9070 XT yet considerably below competing NVIDIA workstation GPUs. Retailers are already accepting pre-orders.

Designed for AI professionals who require more than what consumer‑grade hardware can provide, the Radeon AI PRO R9700 excels at natural language processing, text‑to‑image generation, generative design, and other high‑complexity tasks that rely on large models or memory‑intensive pipelines. It’s 32 GB of VRAM allows production-scale inference, local fine-tuning, and multi-modal workflows to run entirely on-premises, improving performance, reducing latency, and enhancing data security compared to cloud-based solutions. Full compatibility with AMD’s open ROCm 6.3 platform provides developers with access to leading frameworks, including PyTorch, ONNX Runtime, and TensorFlow. This enables AI models to be built, tested, and deployed efficiently on local workstations. The card’s compact dual-slot design and blower-style cooler ensure reliable front-to-back airflow in dense multi-GPU configurations, making it simple to expand memory capacity, deploy parallel inference pipelines, and sustain high-throughput AI infrastructure in enterprise environments.