4 ms·
I'm curious, what does cheaper mean exactly, and how much cheaper is it? Is that cheaper to acquire the inferencing hardware, or cheaper in terms of energy effi
by dahart 6y ago
I'm curious, what does cheaper mean exactly, and how much cheaper is it? Is that cheaper to acquire the inferencing hardware, or cheaper in terms of energy efficiency? Is your inferencing running on servers, or commodity hardware... in the cloud or on user/consumer devices?
I'd agree with the sibling comment; this depends completely on what you are trying to do, and how fast you need to do it. There's nothing wrong with inferencing on a CPU, and I have no doubt it's much cheaper in certain ways, but it's also slower than what you can do on a GPU or custom ASIC, and there are reasons some people need it to go faster. One example that's in wide deployment would be Nvidia's DLSS for video games. It'd be pretty hard to run that in real time at 4k resolution on a CPU.
- whimsicalism 6y agoI work for a for-profit public SaaS corporation, we are not optimizing for energy efficiency, we are optimizing for cloud compute costs.
- justicezyx 6y agoWhat you are doing today to reduce the cost? What are the major obstacles to your organization's goal? We at nascentcore.ai are looking at ways to reducing cloud training cost by enabling more alternative training asic chips available to the public. Feel free to contact us at info@nascentcore.ai