With the rapid popularization of artificial intelligence (AI) technology, when facing computing power bottlenecks, enterprises no longer pursue stronger processing capabilities, but need smarter and more efficient computing resources to adapt to the ever-evolving AI needs. Today, AI models are becoming increasingly large and complex, and enterprises need to be able to process massive data, support continuous learning, and provide high efficiency in real-time decision making.
Against this background, modern data centers have become the key to enterprises eliminating bottlenecks in AI innovation. By upgrading existing IT infrastructure, enterprises can free up more space and electricity, improve efficiency, and lay the foundation for future development. For example, replacing the older Intel Xeon processor with the latest generation of AMD EPYC processors can save up to 68% of energy and reduce the number of servers used by 87%.
When planning an AI strategy, it is crucial to understand your own infrastructure status. Enterprises should evaluate existing space, electricity and cost factors to select suitable technical solutions. In addition, many companies mistakenly believe that the deployment of AI requires huge initial investment, which can actually be overcome by gradual upgrades and customized solutions.
AMD's AI portfolio can meet a wide range of complex AI workloads, from basic model training to edge reasoning. The AMD Instinct MI325X GPU performs excellently in generative AI workloads and provides higher inference performance. AMD EPYC CPU has become the industry standard for AI computing scalability with its unparalleled core density and energy efficiency.
In addition, open source software plays a crucial role in AI innovation. AMD's ROCm software stack is widely adopted by many industry leaders, making it easy to run AI models from small to large. Through collaboration with several well-known vendors, AMD ensures that its hardware and software solutions are flexible to meet demands of different sizes.
Key points:
Enterprises need to upgrade their data centers to cope with the rapid development of AI technology.
AMD's hardware and software solutions support enterprises to achieve efficient AI computing.
Open source software will promote innovation in the field of AI and improve application flexibility and scalability.