Google is rapidly turning into a formidable opponent to BFF Nvidia — the TPU v5p AI chip powering its hypercomputer is faster and has more memory and bandwidth than ever before, beating even the mighty H100

Google accompanied the recent launch of its Gemini AI models with the latest version of its flagship tensor processing unit (TPU) for AI training and inference, in what appears to be an attempt to take on Nvidia’s own market-leading GPUs.

TPU v5p – Google’s most powerful custom-designed AI accelerator – has been deployed to power the firm’s ‘AI Hypercomputer’. This is a supercomputing architecture that’s built specifically to run AI applications, rather than supercomputers which normally run scientific workloads, because TPUs are unsuited to this.