Boulder Wealth Advisors added some extra voltage to their portfolio, boosting their NVIDIA holdings by 8.4% in Q4 to $816,000 ...

A ccording to Razer, the Blade 16 is its “goldilocks” gaming laptop, balancing slimness with performance and hitting a sweet ...

Investopedia /SOPA Images / Contributor Nvidia is a publicly-traded semiconductor company headquartered in Santa Clara, California. It was founded in 1993 by Jensen Huang, Chris Malachowsky ...

The Asus ROG G13CH aims to challenge the performance of the best gaming PCs with its 14th-generation Intel Core i7 processor and Nvidia GeForce RTX 4060 Dual graphics card, alongside 16GB of RAM ...

Shooting with the best 8K and 6K cameras can feel like experiencing the future. While 8K isn't widely adopted enough yet that it's anywhere close to an industry standard, having these high resolutions ...

Nvidia has reportedly acquired Gretel, a San Diego-based startup that’s developed a platform to generate synthetic AI training data. Terms of the acquisition are unknown. The price tag was said ...

Update: Nvidia declined to comment. Nvidia (NASDAQ:NVDA) has acquired synthetic data company Gretel for nine figures, Wired reported, citing people familiar with the deal. The deal price surpassed ...

Nvidia has acquired synthetic data firm Gretel for nine figures, according to two people with direct knowledge of the deal. The acquisition price exceeds Gretel’s most recent valuation of $320 ...

When GPU-accelerated computing took off in 2010 and the GPU Technical Conference was new and the number of attendees was an order of magnitude smaller than the 25,000 attendees flocking to San Jose ...

This configuration with the Nvidia GeForce RTX 4060 graphics card, which usually sells for $1,250, is down to $950 following a $300 discount from Dell. There’s no telling how much time is ...

Nvidia's big AI conference, GTC 2025, kicked off in full on Tuesday. CEO Jensen Huang gave an update on Nvidia's road map, including launch timing for AI chips Blackwell Ultra and Rubin.

Building out the datacenters—or as NVIDIA calls them, "AI factories"—required for training and operating state-of-the-art AI models is extremely expensive. So much so that even hyperscalers ...