AI Infrastructure Software Components
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- Overview
AI hardware components that play a critical role in AI include CPUs, GPUs, TPUs, NPUs, and FPGAs, as well as memory units like RAM, VRAM, HBM, and non-volatile memory storage units like SSDs and HDDs. They are designed to handle the computational demands of AI applications. Each hardware component provides distinct benefits and drawbacks.
For example,
- GPUs: Graphics processing units (GPUs) are specialized processors that can perform the same operation on many data points at once. GPUs are used in AI for tasks like deep learning, video gaming, and autonomous vehicles.
- TPUs: Tensor processing units (TPUs) are designed to accelerate machine learning and deep learning workloads. Google TPUs are managed by cloud and can be accessed on demand.
[More to come ...]
