NVIDIA has laid out its full AI infrastructure stack.
The AI buildout extends well beyond just GPUs. As adoption picks up, every layer of the ecosystem is becoming critical.
First, the compute and chip layer.
$NVIDIA(NVDA)$ is the clear leader in AI GPUs and accelerated computing platforms.
$ARM Holdings(ARM)$ provides the CPU architecture that powers next-generation AI devices and data centers.
$Advanced Micro Devices(AMD)$ is expanding its presence in AI GPUs, CPUs, and enterprise computing.
$Micron Technology(MU)$ is a key supplier of HBM and DRAM memory, which is essential for both AI training and inference.
Compute is still the core engine of AI infrastructure, and demand for these high-performance chips and memory continues to grow with AI deployment.
The next phase of this opportunity seems to be taking shape.
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