At CES, AMD unveiled the Ryzen AI Halo, a mini-PC with 128GB of memory and robust AI computing capabilities for local development. This points to a future where some AI inference workloads will run locally rather than in the cloud. AMD is well-positioned for this shift in the coming years.

Running AI inference in the cloud is costly, with a 280-fold decrease in price for models like GPT-3.5 over two years. Deloitte outlines where to run AI workloads: cloud for variable tasks, on-premises for sensitive data, and edge devices for real-time processing. The Ryzen AI Halo mini-PC targets local AI processing, with up to 126 TOPS of power.

AMD’s Ryzen AI Halo offers a glimpse into the future of AI, where local processing becomes more common. As hardware improves and AI models become more efficient, the shift to local inferencing will likely accelerate. AMD’s Ryzen AI CPUs are already delivering significant AI performance and memory capacity for future applications.

While the Ryzen AI Halo is a niche product for AI development, it signals a broader trend towards local AI processing on devices. AMD is competing with Nvidia in the data center market but is also preparing for the next phase of AI evolution. Investing in AMD now could position you well for the future of AI technology.

Read more at Nasdaq: Why AMD’s Least Hyped CES Announcement Could Be Its Most Important