Radeon AI PRO R9700: AMD Goes After NVIDIA's Bread and Butter, and It's Working

The market for professional AI hardware has long resembled a private NVIDIA party, open only to those willing to pay the "CUDA tax." We have all gotten used to the idea that if you need to train a model or run heavy inference, there are practically no alternatives. But the green team's perpetual dominance has begun to wear on even its most loyal fans, especially amid shortages and Jensen Huang's peculiar pricing policy. Against that backdrop, the Radeon AI PRO R9700 looks less like just another hardware release and more like AMD's attempt at a quiet revolution in the workstation segment.

The new card's main trump card is 32 gigabytes of video memory. These days, when even "light" versions of Llama 3 demand substantial resources, VRAM capacity matters more than clock speed. AMD has clearly picked up on this trend. While competitors in the mid-range price segment skimp on memory, the red team is offering room to maneuver. In our tests, the R9700 performed surprisingly briskly with quantized 70B models. Where cards with 16 or 24 GB start to choke and offload computation to slow system RAM, the Radeon keeps chewing through tokens with confidence. The difference in usability is something you can physically feel: latency is minimal, and generating long contexts does not turn into an agonizing wait.

Of course, hardware is only half the story. Historically, AMD lost on the software side. The ROCm ecosystem was long considered the domain of masochistic enthusiasts willing to spend weeks compiling libraries. But the latest updates have changed the situation radically. We checked: most popular PyTorch and Stable Diffusion frameworks now run practically out of the box. Yes, NVIDIA is still ahead in optimizing specific kernels for transformers, but that gap is no longer a chasm. For a developer who just needs a local server for testing, the Radeon AI PRO R9700 becomes a perfectly rational choice rather than an act of desperation.

The card also shows its teeth in video generation and complex 3D rendering. We compared it with current Blackwell-line products and the previous-generation Ada Lovelace. In raw performance on video diffusion, AMD runs neck and neck with NVIDIA's top consumer cards, while winning on stability over long runs thanks to more efficient cooling and professional-grade driver packaging. This matters especially for studios that cannot afford equipment downtime because of drivers crashing in the middle of a render.

Why does this matter right now? The AI industry is moving from the "play around with ChatGPT" stage to the "deploy our own, and cheaper" stage. Dependence on cloud providers and scarce H100 chips is pushing companies to look for alternatives for local compute. If AMD can ensure stable supplies of the R9700 at a reasonable price, it could seriously shake up the market. NVIDIA will have to either increase the memory in its entry-level professional cards or cut prices, and either way end users come out ahead. Monopoly always leads to stagnation, and the arrival of such an aggressive player is the best incentive for progress.

The bottom line: the Radeon AI PRO R9700 is the first AMD product in a long time that can be recommended for AI work without a long list of caveats. Will the ROCm software stack finally beat the magic of CUDA in developers' minds?