"Unlike traditional computers, an artificial intelligence PC, or AI PC, comes with AI capabilities built in by design. AI runs locally, right on the machine, allowing it to essentially learn, adapt, reason and problem-solve without necessarily having to connect to the cloud or even the internet. This greatly increases the performance, efficiency, and security of computing while enhancing user experience.."
"Traditional PCs run on CPUs and GPUs (but most PCs use an integrated CPU for everyday tasks), and their essential components include a motherboard, input devices like keyboards and mice, long-term storage, and random-access (short-term) memory (RAM). While they excel at tasks such as everyday web searching, data processing and content streaming, they typically don't come with many built-in AI features - and they struggle to perform complex AI tasks due to limitations with latency, memory, storage and battery life."
"Those traditional PCs typically have integrated GPUs (iGPUs) that are built into the CPU and share system RAM. Going a step beyond this are discrete graphic processing units (dGPUs), which can be found in devices such as those offered by Dell. These separate cards handle graphics-heavy tasks like 4K video rendering and editing, complex 3D modeling, and gaming. dGPUs are more performant than integrated GPUs because they have their own dedicated memory, including video memory (VRAM), and power source."
AI PCs integrate processors, accelerators, and software specifically optimized for complex AI workloads, and include a dedicated neural processing unit (NPU) alongside CPUs and GPUs. AI processing runs locally on the device, enabling on-device learning, adaptation, reasoning, and problem-solving without required cloud or internet connectivity. Local AI reduces latency and can improve performance, efficiency, battery life, and security while enhancing user experience. Traditional PCs rely primarily on CPUs and GPUs, with integrated GPUs sharing system RAM and discrete GPUs offering dedicated memory and power. Traditional systems lack many built-in AI features and struggle with complex AI workloads due to latency, memory, storage, and battery limitations.
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