NVIDIA’s toughest competitor may be its own customer.
On November 9, Google unveiled two new TPU systems:
🔹 8tx: Designed for confidential computing to protect sensitive data.
🔹 8i Max: Dual-TPU packaging, with twice the computing power, SRAM capacity, and HBM bandwidth of a single 8i.
What really matters isn’t the specs—it’s that Google is evolving from a buyer of AI computing power into a chip designer and supplier.
In the past, tech giants competed to see who could buy more GPUs.
Now, they’re starting to compete to see who can rely less on NVIDIA.
Of course, the CUDA ecosystem remains NVIDIA’s moat.
But its toughest competitors may not be other chip companies—they may be its biggest customers, with plenty of money, technical expertise, and enormous AI needs.
Will the future of AI computing be dominated by GPUs, or will specialized chips flourish?
#AI #Google #NVIDIA #TPU
On November 9, Google unveiled two new TPU systems:
🔹 8tx: Designed for confidential computing to protect sensitive data.
🔹 8i Max: Dual-TPU packaging, with twice the computing power, SRAM capacity, and HBM bandwidth of a single 8i.
What really matters isn’t the specs—it’s that Google is evolving from a buyer of AI computing power into a chip designer and supplier.
In the past, tech giants competed to see who could buy more GPUs.
Now, they’re starting to compete to see who can rely less on NVIDIA.
Of course, the CUDA ecosystem remains NVIDIA’s moat.
But its toughest competitors may not be other chip companies—they may be its biggest customers, with plenty of money, technical expertise, and enormous AI needs.
Will the future of AI computing be dominated by GPUs, or will specialized chips flourish?
#AI #Google #NVIDIA #TPU
