
There’s Still A Long Way To Go With Generative AI
The tech world is awash with generative AI, which for a company like Nvidia, is a good thing. …
The tech world is awash with generative AI, which for a company like Nvidia, is a good thing. …
In the absence of hard numbers, we have never been shy about making estimates because educated guesses is all you sometimes have to make a decision or to derive some kind of insight. …
Two decades ago, all the chip makers, including Intel, had to buy Unix machines, usually massive ranks of Sparc/Solaris systems, to do electronic design automation to design and test their chip designs. …
Disaggregation means a lot of things, but the one thing that it most certainly does not mean is that every little thing in a system necessarily has to be smashed apart and then put back together in a composable ways. …
Similar to interior designers trying to fit the chairs, tables, and other furniture in rooms inside of a home, chip designers have to figure out where the various bits and pieces of a processor will lie on confined floor plans where latency between parts matters. …
If quantum computers are going to become a commercial thing sometime down the road – and there’s a lot of money and time going into the effort to make them viable for use by HPC organizations and enterprises – it’s increasingly likely that it will be in combination with classical computers. …
Last May, after we had done a deep dive on the “Hopper” H100 GPU accelerator architecture and as we were trying to reckon what Nvidia could charge for the PCI-Express and SXM5 variants of the GH100, we said that Nvidia needed to launch a Hopper-Hopper superchip. …
Nvidia is not rich enough – or dumb enough – to build a cloud to rival the likes of Amazon Web Services, Microsoft Azure, or Google Cloud. …
Like the rest of the world, we have been watching Microsoft’s increasing use of foundation models as it transforms its services and software. …
In the past three decades, there has been no shortage of companies with interesting ideas to solve very specific data storage and retrieval problems associated with high performance computing in some form or another. …
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