Rawat said, “While Nvidia remains dominant in GPU-driven AI workloads, AMD is making strides to close the gap. Threadripper Pro 9000 CPUs serve as robust complements to high-end GPUs, including Nvidia’s, offering a powerful combined compute platform. Additionally, AMD’s ROCm ecosystem and Radeon AI PRO R9700 enable seamless CPU-GPU integration for AI inference and creative applications, positioning AMD not just as a CPU provider but as a comprehensive platform player in the workstation market.”
AMD also announced the Ryzen Threadripper 9000, designed for power users seeking workstation-grade compute in a high-end desktop (HEDT) platform. Touting up to 64 cores for content creation, rapid compiling, and local AI training, without relying on the cloud, it helps in reducing costs, improving privacy, and cutting down delays, claimed the company.
Over the last few years, there has been a significant demand for high-end workstations that can handle AI tasks locally, reducing reliance on cloud services and enhancing performance for applications like real-time data analysis and content creation.
Intel, too, has been repositioning its high-end desktop processors as workstation-class, ideal for CAD, 3D rendering, simulations, and AI prototyping. To effectively compete with Intel and Nvidia in the enterprise market, AMD should expand its ecosystem by strengthening partnerships with independent software vendors and even offer more pre-built solutions with clear, workload-specific benchmarks, Rawat said. “As gaining enterprise trust is critical, AMD should focus on certifications, long-term support, and robust deployment tools similar to Intel’s vPro.”
