The Radeon AI PRO R9700 is AMD’s newest bid to shake up the professional GPU space, offering 32 GB of memory and RDNA 4 power at a $1,299 price point.
After being teased earlier this year, AMD has announced that its Radeon AI Pro R9700 GPU will launch at $1,299 US, bringing workstation-class AI performance to a more accessible price point. The card will reach retail shelves worldwide starting Oct. 27, marking the company’s latest push into the local AI development market and one of the most accessible cards of this level.
The Radeon AI PRO R9700 runs on AMD’s latest RDNA 4 architecture and includes 32 gigabytes of GDDR6 memory, a feature that sets it apart in a market where most consumer GPUs top out at 16 gigabytes. The extra memory matters when running large language models such as DeepSeek R1 or Mistral 3.1, which often need more than 20 gigabytes of VRAM to function properly. Without enough memory, these models either run slowly or fail to load altogether.
AMD has detailed how it designed the card with 64 compute units and 128 second-generation AI accelerators, delivering 191 teraflops of FP16 performance. The 256-bit memory interface provides 640 gigabytes per second of bandwidth, while 64 megabytes of Infinity Cache help speed up memory access. Power draw is rated at 300 watts, and the card supports PCIe 5.0.
What makes the Radeon AI PRO R9700 particularly useful for AI developers is its support for AMD’s ROCm open software platform. The system works with popular frameworks such as PyTorch and TensorFlow, and it can run more than two million models from Hugging Face right out of the box. That kind of compatibility allows developers to start projects without spending days configuring their systems.
The Radeon AI PRO R9700 is aimed at professionals who want to run AI workloads on their own machines rather than rely on cloud services. Local processing offers greater privacy and more control over sensitive data — an essential factor for companies working with proprietary information. The dual-slot design also lets users install multiple cards in a single workstation for improved scalability.
With its combination of memory capacity, processing power and open software support, the Radeon AI Pro R9700 offers AI developers a practical new option for managing complex models without investing in costly data-centre hardware. For anyone looking to tackle AI workflows on a limited budget, the Radeon AI Pro R9700 represents a significant step toward making the field more accessible, opening new opportunities for emerging players seeking to innovate and drive the industry forward.
