ASUS launches its Turbo Radeon AI Pro R9700: a new player in the AI race?
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In September 2025, ASUS announced the launch of its Turbo Radeon AI Pro R9700A graphics card specifically designed for artificial intelligence workloads. In a market largely dominated by NVIDIA, this announcement is attracting attention. Should we see it as a simple expansion of the product range, or a sign of a deeper restructuring of the GPU ecosystem for AI?
Who is ASUS today in the hardware industry?
ASUS is a long-established Taiwanese player in the computer hardware industry, recognized for over thirty years for its motherboards, Its laptop, Its gaming peripherals and graphics cards.
While the company has built its reputation with the general public and gamers through its ROG brand (Republic of Gamers), it has been aiming for some years to invest more broadly in the professional segment and, now, in that of artificial intelligence.
The launch of the Turbo Radeon AI Pro R9700 marks a symbolic step: ASUS is no longer content to be a gaming-oriented manufacturer, but intends to position itself as a credible supplier of hardware solutions for intensive computing and AI.
The R9700 explained: what it promises
La Turbo Radeon AI Pro R9700 relies on the Radeon architecture, optimized for AI and HPC workloads (High performance computingAmong its highlighted features:
- 32 GB of GDDR6 memory,
- 4096 computing cores,
- un redesigned cooling system (dual fans, diecast case, reinforced backplate)
- and total compact design designed for cluster integration.
The objective is clear: to offer a reliable card, capable of supporting sustained computing environments, with a thermal design conceived for data centers as well as for advanced workstations.
Is this a credible alternative to NVIDIA?
The AI GPU market is dominated by NVIDIA, thanks to its combination of hardware (A100, H100 GPUs) and proprietary software (CUDA, cuDNN, TensorRT). ASUS, by launching this card, is not directly challenging NVIDIA, but relies on the AMD ecosystem (via ROCm, the open source alternative to CUDA).
This offers an interesting avenue: allowing some users to break free from NVIDIA's lock-in (vendor lock in), even though software maturity and framework compatibility remain a challenge. In other words, ASUS is not yet positioning itself as an “NVIDIA killer”, but as diversification player.
For whom and for what purposes?
The R9700 is primarily aimed at the following profiles:
- AI researchers and developers seeking a less expensive alternative to NVIDIA for training mid-sized models.
- Events who wish to test or deploy AI without being entirely dependent on CUDA.
- Integrators and data centers interested in thermally optimized hardware designed for cluster scalability.
independent tests Future factors will be crucial: it will be necessary to evaluate raw performance, energy efficiency and above all compatibility with dominant AI frameworks (PyTorch, TensorFlow, JAX).
Challenges and limitations to watch out for
Three points of concern emerge:
- La software maturity of ROCm and its adoption by developers.
- Le price/performance ratio compared to NVIDIA GPUs, which are still leaders in the high-end market.
- ASUS's ability to convincing beyond the hardwareby providing support, documentation and integration with the AI software ecosystem.
Conclusion
The announcement of the ASUS Turbo Radeon AI Pro R9700 illustrates a broader trend: the desire of new players to establish themselves in a strategic market currently dominated by NVIDIA. While this card doesn't immediately reverse the balance, it contributes to expand the range of products and stimulate competitionFor users, this means more choice, a possible rebalancing of costs, and the opportunity to explore less locked-down alternatives.
In the longer term, the question is not only whether ASUS can compete with NVIDIA, but whether the AI ecosystem will be able to open itself up to a plurality of hardware solutionsFrom this perspective, the R9700 is less of an immediate “game-changer” than a strategic signal The AI GPU battle is only just beginning, and diversity could be the real catalyst.
