When we think about high performance computing, it is often in the context of liquid-cooled systems deployed in facilities specifically designed to accommodate their power and thermal requirements. …
Updated With More MGX Specs: Whenever a compute engine maker also does motherboards as well as system designs, those companies that make motherboards (there are dozens who do) and create system designs (the original design manufacturers and the original – get a little bit nervous as well as a bit relieved. …
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. …
One of the first tenets of machine learning, which is a very precise kind of data analytics and statistical analysis, is that more data beats a better algorithm every time. …
If the emergence of Nvidia in datacenter compute shows anything, it is the value of controlling the software stack as you come to dominate the compute – and the revenue and profits – in the hardware stack. …
A new CPU or GPU compute engine is always an exciting time for the datacenter because we get to see the results of years of work and clever thinking by hardware and software engineers who are trying to break through barriers with both their Dennard scaling and their Moore’s Law arms tied behind their backs. …
Nvidia’s DGX platforms are powerhouses for training neural networks, offering up to 2 petaflops of peak machine learning performance. …
All Content Copyright The Next Platform