Google is reportedly working with Meta to expand software support for its AI chips
Nvidia dominates the market for AI chips. But its advantage is not limited to hardware.
The company has a growing suite of software tools that are usually paired with its chips, optimized to get the most out of the GPUs crunching the data.
Any challengers to Nvidia’s dominance will need to make it easy for developers to walk away from the Nvidia software-hardware lock-in. That’s what Google and Meta are teaming up to do.
A new report from Reuters says Google is working on an initiative code-named “TorchTPU,” which aims to make it easier for AI developers who use the ubiquitous, open-source PyTorch software framework to switch the hardware layer to Google’s tensor processing units (TPUs).
Meta is a huge backer of the PyTorch project, so the company is teaming up with Google to help develop its TorchTPU software, per the report.
Last month, it was reported that Google is planning on selling TPUs worth “billions of dollars” to Meta, which follows other Big Tech players who are hedging their bets against Nvidia’s dominance.
Any challengers to Nvidia’s dominance will need to make it easy for developers to walk away from the Nvidia software-hardware lock-in. That’s what Google and Meta are teaming up to do.
A new report from Reuters says Google is working on an initiative code-named “TorchTPU,” which aims to make it easier for AI developers who use the ubiquitous, open-source PyTorch software framework to switch the hardware layer to Google’s tensor processing units (TPUs).
Meta is a huge backer of the PyTorch project, so the company is teaming up with Google to help develop its TorchTPU software, per the report.
Last month, it was reported that Google is planning on selling TPUs worth “billions of dollars” to Meta, which follows other Big Tech players who are hedging their bets against Nvidia’s dominance.
