Like everyone else on planet Earth, we were expecting for the next generation of graphics cards based on the “Ada Lovelace” architecture to be announced at the GTC fall 2022 conference this week, but we did not expect for the company to deliver a passively cooled, datacenter server friendly variant of the GeForce RTX 6000 series quite so fast. …
You can’t be certain about a lot of things in the world these days, but one thing you can count on is the voracious appetite for parallel compute, high bandwidth memory, and high bandwidth networking for AI training workloads. …
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. …
AI is arguably the most important kind of HPC in the world right now in terms of providing immediate results for immediate problems, and particularly for enterprises with lots of data and a desire to make money in a new economy that does not fit models and forecasts before the coronavirus pandemic. …
Chip design is as much of an art as it is an engineering feat. …
Natural language processing has been an easy fit for these relatively early days of artificial intelligence. …
The democratization of any effective technology happens automatically by virtue of its success, even if the complexity it presents initially overwhelms some of the smartest people who wield it. …
When it comes to building any platform, the hardware is the easiest part and, for many of us, the fun part. …
One of the most pressing challenges in deploying deep learning at scale, especially for social media giant, Meta, is making full use of hardware for inference as well as training. …
Like other kinds of computing, if you put garbage data into a machine learning training run and then pour new data through it, what comes out as the answer is puréed garbage. …
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