Nvidia (NASDAQ: NVDA) shares are up 1,390% since the artificial intelligence boom began in January 2023, and Wall Street still thinks the stock is undervalued. Among 65 analysts, the median target price is $300 per share, implying 37% upside from the current share price of $218. Nvidia shareholders recently got good news from Wall Street.
Consensus earnings estimates have recently been revised higher, such that analysts now expect earnings to increase at 44% annually over the next three years. In March, the consensus estimate said earnings would increase at 33% annually over that period. This Rare Signal Is Flashing Again.
In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Wall Street analysts once again underestimated how much money hyperscalers would spend on AI infrastructure.
Here are the important details. Nvidia is a full-stack accelerated computing company that develops graphics processing units (GPUs), central processing units (CPUs), and networking equipment, supported by a robust ecosystem of software tools. That approach lets the company optimize performance and power efficiency in ways most competitors cannot, which explains why Nvidia systems are the gold standard in artificial intelligence.
Most readers probably know that Nvidia GPUs account for a large percentage of data center accelerator sales (around 90%, according to HPC Wire). But readers may be less familiar with the company's prowess in other categories. Nvidia recently became the largest networking company in the world, and it's on pace to become the largest CPU supplier by the end of this year.
Of course, there's been a lot of talk about application-specific integrated circuits (ASICs), chips purpose-built for specific workloads like artificial intelligence. Some investors are worried that custom silicon will eventually displace Nvidia. But those fears are unwarranted.
Extract — continue reading at the source.