AMD Accelerates AI Adoption on Windows 11 With New Developer Tools for Ryzen AI
AI is one of the most transformative technologies to debut in the past 40 years, but taking full advantage of its capabilities requires more than just the latest processor or graphics card. Previous major shifts in computing, like the adoption of 64-bit software and the introduction of 3D-accelerated graphics in the late 1990s, required significant software support as well as sophisticated new hardware capabilities. Today, AMD and Microsoft are stepping up to this challenge, working together to create the building blocks developers and consumers will need to take full advantage of AI both today and in the future.
While many AI tasks can run on a conventional CPU or GPU, these often aren't the ideal locations for executing a machine learning inference workload. As more AI models and workloads evolve, it will be vital to use specialized AI engines on the silicon designed specifically for AI tasks to deliver the right performance and experience to end users. The select new AMD Ryzen 7040 Series processors with Ryzen AI deliver cutting-edge AI features via a dedicated on-die processing block that's purpose-built to handle AI workloads - the first of its kind for x86 Windows 11 laptops. Integrating this functionality in ultrathin laptops will give these systems the outstanding AI performance they might not enjoy if relying on more conventional processors.
While many AI tasks can run on a conventional CPU or GPU, these often aren't the ideal locations for executing a machine learning inference workload. As more AI models and workloads evolve, it will be vital to use specialized AI engines on the silicon designed specifically for AI tasks to deliver the right performance and experience to end users. The select new AMD Ryzen 7040 Series processors with Ryzen AI deliver cutting-edge AI features via a dedicated on-die processing block that's purpose-built to handle AI workloads - the first of its kind for x86 Windows 11 laptops. Integrating this functionality in ultrathin laptops will give these systems the outstanding AI performance they might not enjoy if relying on more conventional processors.