Poll shows 84% of PC users unwilling to pay extra for AI-enhanced hardware - VideoCardz.com
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Enthusiasts say no to paying extra for AI features TechPowerUP poll strongly suggests that there is no interest in AI among advanced PC users. Source: Wccftech A recent poll on TechPowerUp revealed that an overwhelming majority of PC users are not interested in paying extra for hardware with AI capabilities. According to the survey, 84% […]

I use it heavily at work nowadays. It would be nice to run it locally.

You don’t need AI enhanced hardware for that, just normal ass hardware and you run AI software on it.

But you can run more complex networks faster. Which is what I want.

Maybe I’m just not understanding what AI-enabled hardware is even supposed to mean

It’s hardware specifically designed for running AI tasks. Like neural networks.

An NPU, or Neural Processing Unit, is a dedicated processor or processing unit on a larger SoC designed specifically for accelerating neural network operations and AI tasks. Unlike general-purpose CPUs and GPUs, NPUs are optimized for a data-driven parallel computing, making them highly efficient at processing massive multimedia data like videos and images and processing data for neural networks

I’m curious what you use it for at work.

I’m a programmer so when learning a new framework or library I use it as an interactive docs that allows follow up questions.

I also use it to generate things like regex and SQL queries.

It’s also really good at refactoring code and other repetitive tasks like that

it does seem like a good translator for the less human readable stuff like regex and such. I’ve dabbled with it a bit but I’m a technical artist and haven’t found much use for it in the things I do.

Not the guy you were asking but it’s great for writing powershell scripts

https://github.com/huggingface/candle

You can look into this, however it’s not what this discussion is about

An NPU, or Neural Processing Unit, is a dedicated processor or processing unit on a larger SoC designed specifically for accelerating neural network operations and AI tasks.

Exactly what we are talking about.

Stick to the discussion of paying a premium for hardware not the software

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Not sure what you mean? The hardware runs the software tasks more efficiently.

The discussion is whether people should/would pay extra for hardware designed around ai vs just getting better hardware

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