Most investors likely recognize Nvidia (NASDAQ: NVDA) as the world's largest producer of discrete GPUs. The bullish thesis for Nvidia in the data center market is easy to grasp. CPUs use scalar processing, which process one piece of data at a time, while GPUs use vector processing, which processes a wide range of integers and floating point numbers simultaneously. CPUs can't process machine learning and artificial intelligence (AI) tasks as efficiently as GPUs, so big data center operators have been installing more of Nvidia's GPUs to handle those tasks. Read More...
Most investors likely recognize Nvidia (NASDAQ: NVDA) as the world’s largest producer of discrete GPUs. The bullish thesis for Nvidia in the data center market is easy to grasp. CPUs use scalar processing, which process one piece of data at a time, while GPUs use vector processing, which processes a wide range of integers and floating point numbers simultaneously. CPUs can’t process machine learning and artificial intelligence (AI) tasks as efficiently as GPUs, so big data center operators have been installing more of Nvidia’s GPUs to handle those tasks.
