AMD finds that IT leaders are optimistic about AI change

Today, AMD released the findings from a new survey of global IT leaders. The survey discovered that more than two thirds of IT leaders are increasing their investments in AI technologies, and that three in four IT leaders are optimistic about the potential benefits of AI, which range from increased employee efficiency to automated cybersecurity solutions. IT leaders have voiced concern on their AI adoption timelines due to their lack of implementation roadmaps and the overall preparedness of their existing hardware and technology stack. This is the case even though AI has clear benefits for enterprises to become more productive, efficient, and safe.

AMD commissioned the survey of 2,500 IT leaders from the United States, the United Kingdom, Germany, France, and Japan in order to gain a better understanding of how artificial intelligence technologies are reshaping the workplace, how IT leaders are planning their AI technology and related Client hardware roadmaps, and what their greatest challenges are for adoption.

It has been abundantly evident that businesses who have already adopted AI solutions are observing a positive impact, whereas businesses that delay implementation run the danger of falling behind their competitors and being left behind. Despite some reservations regarding security and a view that educating the workforce will be burdensome, it has become abundantly clear that AI solutions are having a beneficial impact. 90 percent of the companies that are placing an emphasis on the adoption of AI claim already seeing better workplace productivity.

“There is a benefit to being an early AI adopter,” said Matthew Unangst, senior director, commercial client and workstation, for AMD. “IT leaders are beginning to see the benefits of AI-enabled solutions, but their organizations need to outline a more focused plan for implementation or risk falling behind the competition.” The Future of AI-Powered Computing for the Enterprise “AMD believes in a multi-faceted approach of using AI IP across our whole portfolio of products to the benefit of our partners and customers. Open software ecosystems, together with high-performance hardware, are key.

The Future of Business Computing Powered by AI

AMD is focused on developing cutting-edge solutions with AI capabilities across our product portfolio – from the cloud to the edge to endpoints – while working in close collaboration with open industry-standard software to ensure that IT leaders have access to the best computing platform as they implement AI solutions. This will allow IT leaders to implement AI solutions more effectively.

This year, AMD launched the first AMD Ryzen 7040 Series processors, with select models featuring a Ryzen AI Engine with support for Windows Studio Effects, along with Ryzen AI developer tools – delivering unique experiences that are not currently available on other x86 processors2 and paving the way for greater AI capabilities directly on laptops. The Ryzen AI Engine supports Windows Studio Effects.

In addition to AI that is stored in the cloud, the adoption of AI applications in the workplace absolutely requires the use of a specific AI engine that can run on mobile PCs. It has the ability to: • Make it possible to execute AI models locally, which would result in more personalized and secure experiences for employees of an organization.

• Improve the power efficiency of the laptop, which will result in increased staff productivity and improved connectivity.

• Make it possible for a laptop to run software from the next generation, which will increase the overall bandwidth that an organization has available to run AI workloads.

It is essential for companies who wish to operate AI workloads in their own on-premise data centers to have up-to-date infrastructure. Customers may be able to cut the number of racks required for their existing infrastructure by as much as 70 percent by implementing an upgrade to modern AMD EPYC processors in their data centers.

AMD has also recently shared information about its AMD Instinc MI300X accelerator (192 GB), which is based on the AMD CDNA 3 accelerator architecture. This will be the world’s most advanced accelerator for generative AI, and it will provide the compute and memory efficiency required for large language model training and inference for generative AI workloads. AMD also recently shared details about its AMD Radeon Pro WX 5200 graphics card, which is based on the AMD CDNA 3 accelerator architecture.

AMD is bringing an open, ready, and established AI software platform to market as a complement to the hardware through the AMD ROCm software ecosystem for data center accelerators. This is being done in order to complement the technology.