Nvidia defines Cosmos as “a platform of state-of-the-art generative world foundation models,” and defines world foundation models as “neural networks that simulate real world environments, and predict accurate outcomes based on text, image or video input.”

Nvidia was the most remarkable technology story of 2024 — both in terms of its products and impact on the stock market. The company’s strategic advancements in data-center GPUs and networking; its growth and ambitions in services;

Foxconn's earnings release comes just a week after Microsoft announced that it expects to spend $80 billion on AI data center infrastructure in its FY 2025. This was huge news for investors, as it confirms that Silicon Valley's AI arms race is not winding down any time soon.

Quantum computing stocks were red-hot recently, but Jensen Huang just offered optimistic investors a reality check.

The highly anticipated NVIDIA GeForce RTX 5090 GPUs are finally being freed from their boxes. This time, it's our very own Dave Altavilla showcasing the unboxing on the HotHardware YouTube channel. While benchmarking is underway and we won't know the data until the embargo lifts,

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The great news is this success story may be far from over. Nvidia chief executive officer Jensen Huang, speaking at CES earlier this month, said AI is progressing at an "incredible pace." Considering this, where will Nvidia stock be in one year? Let's find out.

Nvidia is moving the production of its Blackwell chips from TSMC's CoWoS-S to CoWoS-L advanced packaging technology.

The chip maker’s stock has surged in the year since D.A. Davidson’s Gil Luria began coverage with a neutral view. But he still thinks elements of his initial call have merit.

Nvidia (NASDAQ: NVDA) and Microsoft (NASDAQ: MSFT) are pioneers in artificial intelligence (AI) as both companies have played central roles in bringing this technology mainstream. While Microsoft-backed OpenAI kicked off the AI craze when it launched the highly popular ChatGPT in November 2022,

It’s maybe like the Matrix in that it’s indistinguishable from the real world. That’s the key. Because at some point you want to transfer the robot brain into the actual robot to operate in the real world. And if what it’s trained on is a cartoony, non-realistic version, then it’s not going to operate well.

The test was also a testament to the power of Nvidia’s upcoming multi-frame generation. With DLSS 4 and 4x frame generation enabled, as well as DLSS set to Performance, the RTX 5090 was hitting a whopping 290 fps and over 40ms of latency. This was with Nvidia’s Reflex 1, as Reflex 2 wasn’t available for this test.