AMD Radeon AI PRO R9700
The Radeon AI PRO R9700 is AMD's RDNA 4 workstation card with 32 GB of GDDR6 on a 256-bit bus, 64 compute units with dedicated AI accelerators, and a 300 W actively cooled double-slot board on PCIe 5.0 x16. It launched at $1,299 in late 2025 and is the low-cost way to get 32 GB per card for local inference and development; two or four cards in a workstation reach 64 to 128 GB of total VRAM over PCIe. It is a desktop and workstation part, not a datacenter accelerator: no HBM, no GPU fabric, and a 12V-2x6 power connector. GPU Smith specs it for developer boxes and small private-inference nodes where price per GB of VRAM dominates.
- 32 GB per card is the reason to buy it; delivered speed is not. Phoronix measured a single card close to the RTX 6000 Ada on small FP8 models, but reviews also report slower prompt processing than comparable NVIDIA cards (reported, mixed).
- Models above 32 GB need multiple cards over PCIe, which costs bandwidth on tensor-parallel splits; test your parallelism strategy rather than assuming linear scaling.
- FP4 is not in AMD's published list for this card; the lowest listed matrix datatype is INT4. Plan quantisation around FP8, INT8 or INT4.
- ECC is Linux only, so a Windows deployment gives it up.
- Not for datacenters in the AMD sense: no passive cooling, no OEM server qualification. Use it for desk-side and workstation-class nodes.
How much memory does the R9700 have?
32 GB of GDDR6 on a 256-bit bus at 640 GB/s, with 64 MB of Infinity Cache.
How much does the R9700 cost?
$1,299 at launch (reported). Street prices of roughly $1,350 to $1,900 have been reported since; check live listings.
R9700 vs the Radeon PRO W7900?
The W7900 has more memory (48 GB) and bandwidth (864 GB/s) on RDNA 3; the R9700 is newer, has FP8 support and, in Phoronix testing, ran about 1.47x the W7900 performance, at 32 GB.
Can I run several R9700s together?
Yes, for example two cards for 64 GB total, over PCIe. Each is 300 W, double slot and needs 12V-2x6 power.