AMD Announces October 27 as Launch Date for Radeon AI Pro R9700, Starting at $1,299
AMD has officially confirmed that its most powerful RDNA 4-based workstation GPU, the Radeon AI Pro R9700, will launch on October 27, with prices starting at $1,299 USD. The card, first unveiled during Computex 2025, has been highly anticipated among AI professionals and workstation users, and AMD’s announcement now solidifies both its pricing and release schedule.
Earlier retail leaks already hinted at the price, with an ASRock Creator Radeon AI Pro R9700 briefly listed for $1,329, aligning closely with today’s confirmed MSRP. AMD also clarified that the Radeon AI Pro R9700 will be sold exclusively through board partners and system integrators, with no reference model planned for direct sale from AMD itself.
Under the hood, the Radeon AI Pro R9700 is powered by the Navi 48 GPU, the same silicon used in the Radeon RX 9070 XT, but re-engineered for professional AI and compute workloads. It features 4,096 Stream Processors, 128 ROPs, and an identical number of RT Cores as the RX 9070 XT.
The defining difference lies in memory capacity. The R9700 doubles the VRAM to 32 GB of GDDR6 across a 256-bit memory bus, making it the most affordable 32 GB workstation GPU currently available. The additional memory modules are optimized for AI model training, inference, and large-scale data processing, providing a significant edge for creators, researchers, and developers working on LLMs, diffusion models, and text-to-image AI applications.
“Powered by AMD RDNA 4 architecture, the Radeon AI Pro R9700 enables medium to large AI models to run directly on local workstations. Combined with AMD ROCm open software support, the card accelerates large language models, diffusion models, and other compute-intensive workflows, bringing data-center-class efficiency to the desktop,” AMD stated in its official announcement.
According to AMD’s internal benchmarks, the Radeon AI Pro R9700 delivers over twice the performance of the Radeon Pro W7800 in AI-focused benchmarks such as DeepSeek R1. The GPU’s ROCm platform supports multi-GPU scalability, allowing users to chain multiple R9700 units together for expanded performance and memory capacity, a key advantage for handling high-throughput AI workloads locally without relying on cloud infrastructure.
Physically, the R9700 maintains a dual-slot blower-style cooler, ideal for multi-GPU workstation setups that demand efficient airflow and compact configurations.
AMD has also emphasized that the Radeon AI Pro R9700 will outperform competing GPUs like NVIDIA’s GeForce RTX 5080, particularly in memory capacity, as AMD’s offering provides twice the VRAM at a similar or lower price point.
The Radeon AI Pro R9700 continues AMD’s push to democratize high-performance AI compute. By combining RDNA 4’s enhanced compute pipeline, ROCm open-source support, and 32 GB of VRAM, the card bridges the gap between consumer gaming GPUs and data-center accelerators, giving professionals a cost-effective entry into serious AI development.
With workstation-level performance and a relatively accessible price tag, the R9700 could become the go-to choice for studios, researchers, and AI engineers looking to develop and deploy models locally.
Will you be upgrading your workstation with AMD’s new AI powerhouse when it launches later this month?
