AMD’s most powerful RDNA 4 workstation card is almost here. The Radeon AI Pro R9700 launches on October 27 with a $1,299 starting price, aligning with earlier leaks and putting serious AI horsepower within reach for creators, researchers, and advanced prosumers.
Built on the Navi 48 GPU and the RDNA 4 architecture, the Radeon AI Pro R9700 mirrors the flagship gaming chip in core configuration but amps up what matters most for AI: memory. You get 32 GB of GDDR6 on a 256-bit bus—double the VRAM of the Radeon RX 9070 XT—making it the most affordable 32 GB workstation GPU on the market. That extra memory headroom is a major advantage for running larger language models, diffusion models, and complex compute workloads locally without offloading to the cloud.
AMD says the card is up to two times faster than the W7800 in DeepSeek R1 and is tuned to accelerate LLMs and text-to-image pipelines. It also supports multi-GPU scaling via ROCm, so teams can stack multiple cards for higher throughput or expanded in-system memory capacity. Despite the power, the card keeps a compact footprint with a dual-slot, blower-style cooler designed for efficient airflow in multi-GPU workstations.
Key specs and features:
– Architecture: RDNA 4, Navi 48
– Compute: 4,096 stream processors, 128 ROPs, with hardware-accelerated ray tracing cores
– Memory: 32 GB GDDR6, 256-bit bus
– Software: ROCm support for AI frameworks and multi-GPU scaling
– Design: Dual-slot, blower-style cooler, ideal for dense workstation builds
– Performance claims: Up to 2x W7800 in DeepSeek R1; optimized for LLMs and diffusion models
– Price and availability: Starts at $1,299; retail availability begins October 27
Availability will be through board partners, as AMD isn’t releasing a reference model. Some partners may offer the card primarily through system integrators, so expect it to appear first in prebuilt workstations and select retail channels. A brief retailer listing for an ASRock Creator variant at $1,329 hints at partner pricing in the same ballpark.
Who is it for? If you need a local AI accelerator that balances price, memory capacity, and developer-friendly software, the Radeon AI Pro R9700 is shaping up to be a standout option. Its 32 GB VRAM gives it a clear advantage over similarly priced GPUs that top out at 16 GB, and ROCm enables scalable performance for multi-GPU setups.
With a competitive price, ample VRAM, and workstation-ready design, the Radeon AI Pro R9700 looks poised to be the go-to RDNA 4 card for AI development, research, and media workflows when it lands on October 27.
