

The Radeon AI PRO R9700 marks AMD’s latest attempt to disrupt the professional GPU market, featuring 32 GB of memory and RDNA 4 capabilities at a $1,299 price tag.
Following anticipation earlier this year, AMD has revealed that its Radeon AI Pro R9700 GPU is set to retail for $1,299 US, making workstation-grade AI performance more attainable. The card will hit store shelves globally starting Oct. 27, representing the company’s newest effort to penetrate the local AI development sector and one of the most attainable options in this category.
The Radeon AI PRO R9700 is built on AMD’s cutting-edge RDNA 4 architecture and boasts 32 gigabytes of GDDR6 memory, distinguishing it in an arena where most consumer GPUs are limited to 16 gigabytes. The additional memory is essential for running large language models like DeepSeek R1 or Mistral 3.1, which typically require over 20 gigabytes of VRAM for optimal operation. Insufficient memory can lead to sluggish performance or prevent models from loading entirely.
AMD has outlined its design for the card, which incorporates 64 compute units and 128 second-generation AI accelerators, yielding 191 teraflops of FP16 performance. The 256-bit memory interface facilitates 640 gigabytes per second of bandwidth, while 64 megabytes of Infinity Cache enhances memory access speed. The power consumption is rated at 300 watts, and the card is compatible with PCIe 5.0.
The Radeon AI PRO R9700 is particularly beneficial for AI developers due to its compatibility with AMD’s ROCm open software platform. This system integrates seamlessly with widely used frameworks like PyTorch and TensorFlow, and is capable of executing over two million models from Hugging Face instantly. Such compatibility enables developers to initiate projects without dedicating excessive time to system configuration.
Targeted at professionals seeking to execute AI tasks on local machines instead of depending on cloud solutions, the Radeon AI PRO R9700 enhances privacy and provides greater control over sensitive data—crucial for organizations dealing with proprietary content. Its dual-slot architecture allows the installation of multiple cards within a single workstation, facilitating improved scalability.
By combining memory capacity, processing power, and open software support, the Radeon AI Pro R9700 presents AI developers with a viable new tool for managing intricate models without the need for expensive data-center equipment. For those aiming to navigate AI workflows with budget constraints, the Radeon AI Pro R9700 signifies a notable advancement in making the field more reachable, fostering new prospects for emerging participants looking to innovate and propel the industry forward.
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