How to pronounce“workloads”in English

around those workloads, they can operate more efficiently in many cases than a general purpose AI chip like NVIDIA's can do.

and they've realized if they design chips specifically around those workloads, they can operate more efficiently in many cases than a general purpose AI chip like Nvidia's can do.

is to make some changes to people's workloads, to people's sense of values, and to the rewards that people are getting.

Great position to be able to provide secure workloads and secure networks to enterprises that want to go off and adopt AI in their operations.

And so a lot of startups right now are looking at individual workloads or individual deployment opportunities and saying, we're gonna design a chip

Because they know the specific workloads that are inside their data centers, and they've realized, if they design chips specifically

better effectively manage quality in our factories, be able to move workloads or production capacity to different regions.

And so what mindfulness does is, it helps leaders show up and be fully present for their teams and be attuned to their teams' workloads

For the critical workloads, I shift that somewhere else right away so I don't have that problem, and so, you know, whoever, whichever data

And to do so, we're building essentially a new stream processing engine specifically designed to accelerate these streaming ML workloads.

As I mentioned this young lady, Linda-- so I started at Intel, was working for 30, 40, 70 hours a week depending on school workloads and so on,

Facebook, Microsoft, Google, they're all designing their own in-house chips as well, because they know the specific workloads that are inside their data centers

Now, AMD has doubled down on inference rather than training, expecting inference to make up the majority of AI workloads for the future.

Then got to lead Facebook team, FBLearner, which is an end-to-end machine learning development cycle that was serving machine learning models for old Facebook workloads.

You need a lot of validators, a lot of certifiers, have a go through a lot of different workloads and test everything out.