China is exploring new approaches to reduce its reliance on Nvidia’s CUDA software, which plays a key role in the company’s ...

NeurIPS NeurIPS, or Neural Information Processing Systems, is pretty much the biggest gathering for anyone serious ...

CEO Jensen Huang recently appeared on the Dwarkesh Podcast and made one of his most direct competitive claims yet.

When Nvidia first showed off its Compute Unified Device Architecture (CUDA) parallel computing platform in 2006, it was a multibillion-dollar bet that failed to turn a profit for a decade. Today, it ...

CUDA almost blew a hole in Nvidia’s finances, according to chief executive Jensen Huang. Huang told the Lex Fridman podcast that the 2006 push to make GeForce GPUs programmable was a bet that could ...

The technology that underpins the ongoing AI revolution in tech is also driving Nvidia’s push into new areas such as quantum ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Nvidia has spent nearly two decades turning a programming toolkit into one of the most powerful competitive advantages in the ...

For once, we can avoid debating in the comments what constitutes a “cyberdeck”, because [LCLDIY] does not refer to his cyberpunk masterpiece as such — he calls it a laptop. Considering the form factor ...

I'm the last person to tell you that you need to buy new hardware when you clearly don't. While it's easy to get stuck in an upgrade loop and always want the next best thing in PC hardware, it's not a ...

GPUs are a type of resource only available on GPU capable nodes (the gpu partition). They are reserved using the –gres parameter. For example, the command below can be used to request an interactive ...