Optimizing Enterprise Use of AI Personal Computers
Not that long ago, IT professionals looking to leverage artificial intelligence (AI) had to buy expensive, space-consuming hardware and find specialized personnel to program and run those systems.
Report Overview
Welcome to the era of the AI PC. To optimize their use of AI across a wide and rapidly expanding range of applications and use cases, enterprises are configuring a new breed of PCs to run AI workloads.
Complex AI model inferencing and training, AI-powered cybersecurity threat intelligence, and AI-enabled video applications are all examples of AI use cases that would not have been conceived for PC platforms—until now.
Defining the AI PC
Like early-generation PCs used for specialized, demanding applications, AI PCs are high-end client machines configured with AI-optimized, lightning-fast processors; powerful graphics chips; and storage with immense capacity and low latency. The hardware acts as the platform for AI-specific software, including AI models and machine language algorithms. This enables organizations—from the world’s largest enterprises to small shops looking for a competitive edge—to run performance-intensive tasks previously associated with supercomputers.
Performance & Reliability
Enterprise Strategy Group research points out that performance and reliability are the top two criteria when choosing a preferred PC.
55%
55% of organizations cite improving employee productivity as a top business priority or initiative driving or influencing their endpoint device strategy.
78%
78% of respondents cited using generative AI for personal use.
| Challenges | AMD AI PC Solutions |
| Demanding workloads and tight deadlines | Increased productivity with AI hardware accelerators for faster local processing and personal AI assistants for dramatic boosts in employee productivity and reduced time on mundane tasks. |
| Running out of battery on your laptop during your hybrid workday | Improved efficiency in everything from longer battery life for widespread mobility to lower cost of ownership and faster ROI. |
| IT avoids upgrading or are stuck in an endless upgrade cycle | Future-ready investment to ensure that organizations aren’t stuck in an endless upgrade cycle. |
| Difficulty in coordinating and collaborating with teams | Dramatically improves user experience with advanced collaboration tools, like AI-powered video transcription |
| Risk of data breaches and privacy concerns | Enhanced protection of data from cyberattacks since AI-related tasks are executed on a local device. Upgraded privacy using local processing and storage of sensitive data. |
How AMD Meets the Demands of the AI PC User Base
While AI solutions include accelerators and GPUs, the driving force for the AMD AI strategy is its AMD Ryzen AI technology. AMD Ryzen™ PRO processors with Ryzen™ AI are high-performance components with intelligent power gating optimized for multitasking workloads that must “travel” with their users. Ryzen™ PRO processors include a dedicated AI engine, enabling AI PCs to run at very high performance but with optimal cost and energy efficiency.
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Footnotes
- As of May 2023, AMD has the first available dedicated AI engine on an x86 Windows processor, where 'dedicated AI engine' is defined as an AI engine that has no function other than to process AI inference models and is part of the x86 processor die. For detailed information, please check: https://www.amd.com/en/technologies/xdna.html. PHX-3a
Footnotes
- As of May 2023, AMD has the first available dedicated AI engine on an x86 Windows processor, where 'dedicated AI engine' is defined as an AI engine that has no function other than to process AI inference models and is part of the x86 processor die. For detailed information, please check: https://www.amd.com/en/technologies/xdna.html. PHX-3a