AI could streamline the development of future GPUs for AMD CEO Dr. Lisa Su, making the process both quicker and more dependable.
In a groundbreaking development, both AMD and Nvidia are integrating Artificial Intelligence (AI) into the design of their next-generation Graphics Processing Units (GPUs). This shift marks a significant evolution where AI is no longer just the workload GPUs accelerate but also a tool that helps create the GPUs themselves.
AMD CEO Dr. Lisa Su has explicitly stated that AI is significantly helping AMD design next-generation GPUs faster and more reliably by assisting in parts of the design process, particularly for AI accelerators embedded in GPUs. This integration is accelerating development cycles and enhancing reliability.
Nvidia, with its leadership in AI hardware and extensive investment in AI-focused GPU architectures like "Blackwell," is expected to employ similar AI-assisted design techniques. The company's exact use of AI in GPU design has not been publicly detailed to the same extent as AMD, but it is widely anticipated that Nvidia will leverage AI-driven design tools to optimize and accelerate their next-generation GPUs.
This AI-centric approach is evident in AMD's latest GPU releases. For instance, the Instinct MI350 series, based on the 4th Gen CDNA architecture, is purpose-built to accelerate AI workloads at scale and includes innovations such as support for new AI datatypes (FP4 & FP6) and cutting-edge memory technology to handle trillion-parameter models. Similarly, AMD’s Radeon AI PRO R9700 workstation GPUs are designed specifically to support demanding local AI inference and training workloads.
In the CPU market, the AMD Ryzen 7 9700X stands out as the best mid-range option for gaming, while the AMD Ryzen 7 8700G is the top choice for those seeking a CPU with integrated graphics for gaming. The Ryzen 9 9950X3D and Ryzen 5 700X3D are the best high-end and budget upgrades for AM4 platforms, respectively.
Meanwhile, in the CPU landscape as a whole, the AMD Ryzen 9 9800X3D takes the crown as the best overall CPU for gaming. The Intel Core i5 13400F, on the other hand, is the best budget CPU for gaming.
The intersection of AI and the tech industry was the focus of the 'Winning the AI Race' summit, which was attended by President Trump, AMD CEO Dr. Lisa Su, and Nvidia CEO Jensen Huang. During the summit, President Trump announced the AI action plan on July 16.
Dr. Su believes that in 10 years, AI could be used to solve some of the world's most important problems across various industries. She also mentioned that AI could be used to design future chips with new approaches that humans may not understand. Dr. Su expressed optimism about the potential of AI to improve manufacturing, science, medicine, and business.
It's worth noting that the amount of money AI companies are borrowing and spending is significant, indicating the industry's commitment to this transformative technology.
In other news, Jacob Fox, a hardware junkie and former PCGamesN Hardware Writer, has joined PC Gamer full-time. Fox, who also has a background in philosophy, has contributed to sites such as TechRadar and Pocket-lint.
Dr. Su emphasized the importance of AI for the US and argued that schooling should focus on producing the best AI talent. She believes that investing in AI education will be crucial for the US to remain competitive in the global tech landscape.
As AI continues to permeate the tech industry, it will be fascinating to see how AMD and Nvidia's AI-driven GPU designs evolve and what new innovations they bring to the table.
- AMD and Nvidia are using Artificial Intelligence (AI) in the design of their next-generation Graphics Processing Units (GPUs), integrating AI as a tool in the creation of the GPUs themselves.
- AMD CEO Dr. Lisa Su stated that AI is helping AMD design next-generation GPUs faster and more reliably, particularly for AI accelerators embedded in GPUs.
- Nvidia, with its focus on AI hardware, is expected to employ similar AI-assisted design techniques, using AI-driven tools to optimize and accelerate their next-generation GPUs.
- AMD's latest GPU releases, such as the Instinct MI350 series and Radeon AI PRO R9700 workstation GPUs, are designed to accelerate AI workloads and support demanding AI inference and training workloads.
- The intersection of AI and finance is evident in the significant amount of money AI companies are borrowing and spending, indicating the industry's commitment to this transformative technology.
- Dr. Su emphasized the importance of AI education for the US, arguing that it will be crucial for the country to remain competitive in the global tech landscape and to solve some of the world's most important problems across various industries in the next 10 years.
