Hon Hai Precision Industry Co. reported faster-than-expected 15% revenue growth after the server assembly partner to Nvidia Corp. rode sustained demand for AI infrastructure.

True, Amazon's top line isn't growing as fast as Nvidia's. In the third quarter, Amazon's revenue increased 11% year over year to $158.9 billion. The company's net income of $15.3 billion was up 54.5% from the year-ago period.

Do Custom AI Chips Make Marvell Stock A Buy? For instance, Broadcom’s sales from its custom AI chips and networking processors surged by 220% to $12.2 billion in 2024, up from $3.8 billion in revenue that the company generated from AI silicon in FY’23.

Palantir and Nvidia were among the top five winners of the Nasdaq 100 Index for 2024, up roughly 340% and 171%, respectively. The two companies are leaders in their industry. Nvidia focuses on artificial intelligence hardware,

Advanced Micro Devices' diversified revenue streams provide a cushion against potential slowdowns in AI hardware CapEx. See why AMD stock is a Buy.

The European Commission granted unconditional approval to Nvidia’s $700 million bid for Run:ai, which helps developers optimize infrastructure for AI, earlier in December after saying in October that the deal would require EU antitrust clearance.

Nvidia has completed its acquisition of Run:ai, an Israeli startup that helps manage and optimize AI hardware infrastructure.

Both stocks have had strong runs in 2024. Let's consider which semiconductor looks like the better buy heading into 2025.

Nvidia emerged as the biggest global gainer in market capitalization for 2024, driven by surging interest in artificial intelligence and the robust demand for its AI-centric chips across various industries.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia has completed its acquisition of Run:ai, a software company ...

Cerence AI shares spiked 30% during pre-market trading on Friday as the voice artificial intelligence company expanded a collaboration with Nvidia. Read more here.

Training AI models and running AI inference demands high-speed processing power, and it creates computational workloads that can best be handled using parallel processing. Nvidia (NASDAQ: NVDA) is by far the leader in the space.