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Is AMD Moving Away from the Memory Arms Race? Leaked W9000 Details Unveil a Surprising Twist That Could Transform the Workstation Market

Photo credit: www.techradar.com

AMD May Be Prioritizing Cost Over Specifications with the Radeon PRO W9000’s 32GB CapRadeon PRO W9000 Aimed at Real-World Professionals Rather Than AI-Focused WorkloadsDespite Its 356mm² Die Size, the Radeon W9000 Could Still Excel in Practical Applications

AMD is preparing to unveil its latest workstation GPU series, the Radeon PRO W9000, designed with the RDNA 4 architecture. This model focuses on professionals in high-demand environments, including video editing, 3D rendering, and development in AI.

A recent leak by Hoang Anh Phu indicates that the lineup may feature a model with 32GB, utilizing the Navi 48 XTW architecture.

While AMD is often seen as competing with Nvidia, whose RTX PRO 6000 Blackwell boasts an impressive 96GB frame buffer and 24,064 CUDA cores, the 32GB limit on the Radeon PRO W9000 suggests a different approach. This configuration seems tailored for professionals who may not need extensive data handling but prioritize cost-effectiveness and performance efficiency.

Is AMD Shifting Its Strategy?

Given that this information remains unverified, it’s prudent to approach it with caution. However, if the leak proves accurate, it implies a potential change in AMD’s focus on balancing performance with price. The preceding Radeon PRO W7900 offered 48GB of memory, making the move to 32GB—a variant likely using GDDR6—a notable reduction.

Despite the lower memory capacity, the Navi 48 XTW die, with its 356mm² size, is anticipated to enhance performance across various tasks effectively.

Furthermore, it is expected to benefit applications related to CAD, CGI rendering, and real-time simulations, similar to improvements seen in top laptops for video editing or Photoshop.

The upcoming chip is projected to have multiple variants: XL, XT, and XTX, each designed for specific professional requirements. The XTW model is understood to include hardware upgrades tailored for professional workflows, positioning it as a viable option for those needing a GPU for production-level projects.

Phu, a recognized hardware analyst, stated, “It’s not as powerful as the last generation, but pricing remains crucial.”

An additional concern is the software compatibility as RDNA 4 has yet to achieve full integration with AMD’s ROCm platform, which is essential for developers in AI and machine learning.

While final specifications and the official nomenclature still remain undisclosed, indicators suggest a strategic reveal coinciding with Computex 2025 and AMD’s “Advancing AI” event set for June 2025.

Source: Toms Hardware

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