Reuters reports a U.S. lawmaker claims Nvidia aided DeepSeek AI efficiency later tied to China’s military use.
The rivals made billions of dollars in the business over the past year, showing other companies that Nvidia isn’t the only ...
Opportunities in the hardware AI market include rising edge device deployment, demand for low latency processing, scalable AI infrastructure, and energy-efficient AI chips. Trends like edge AI ...
The new Core Ultra Series 3 chips and XeSS 3 AI upscaler can juice up frame rates on laptops, but handhelds may benefit the most.
NVIDIA’s dominance faces a power squeeze, with roughly 90% of revenue tied to cloud servers. Cloud growth is hitting resource ...
CoreWeave teams up with NVIDIA, raising $2 billion to scale AI factories and strengthen its GPU-powered cloud platform.
XDA Developers on MSN
DLSS 4.5 is expensive, but it’s the best thing to happen to my aging RTX PC
The upside is remarkable, but the cost isn't equal for all.
Summary: Edge AI is shifting AI inference away from expensive cloud data centers and onto local devices. As this transition ...
Nvidia isn’t building quantum computers, instead it’s using its supercomputing strengths to accelerate quantum computing ...
Eight years after the first mobile NPUs, fragmented tooling and vendor lock-in raise a bigger question: are dedicated AI ...
The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
Following the idea developed with the programming language CUDA—letting GPUs be used for applications other than graphic ...
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