
Google's new AI chips keep your data locked, even while they work on it
Google added two chips to its eighth-generation TPU family: TPU 8tx, which keeps data encrypted while AI runs on it, and TPU 8i Max, built for huge context windows.
Techlantis · Topic
AI chip news: GPUs, TPUs and the semiconductors behind AI, from NVIDIA and Google to new challengers, with sources linked.

Google added two chips to its eighth-generation TPU family: TPU 8tx, which keeps data encrypted while AI runs on it, and TPU 8i Max, built for huge context windows.

Rebellions will connect its Rebel R200 chips to NVIDIA's platform, and SK Telecom plans to run the racks in its Korean data center.

Huawei's Qingyun HM650 runs its own Kirin X90 chip and HarmonyOS, and Huawei says every part is made in China. The claim comes with open questions.

Qualcomm will supply the radio and processing chips for tens of thousands of Starlink Mobile cell sites across the US, with the first ones going up in 2027.

Marvell and Lumentum agreed to combine, betting that AI data centers will soon move data with light instead of copper. The deal should close in the first half of 2028.

The startup says its tiny 12nm test chip ran with no functional issues in 24 hours, but the full Zeus GPU is not due until 2028.






Plain-English explainers for the ideas behind AI chips news, each built from linked sources.
A GPU (graphics processing unit) is a chip that does huge numbers of simple calculations at the same time. Built to draw 3D graphics, that parallel power now makes GPUs the main engine for training and running AI.
Read the explainerA semiconductor is a material, usually silicon, that can either conduct or block electricity. Chips pack billions of tiny switches made from it onto a small piece of silicon, and they power everything from phones to AI data centers.
Read the explainerA TPU (tensor processing unit) is a chip Google designed specifically to speed up machine learning. It's built for the huge matrix math that neural networks run on.
Read the explainerAn AI data center is a huge building full of specialized computers, mostly GPUs, that train AI models and answer requests to them. It works like a normal data center but needs far more electricity, faster connections and much stronger cooling.
Read the explainerA GPU (graphics processing unit) is a chip that does huge numbers of simple calculations at the same time. Built to draw 3D graphics, that parallel power now makes GPUs the main engine for training and running AI. Full explainer →
A semiconductor is a material, usually silicon, that can either conduct or block electricity. Chips pack billions of tiny switches made from it onto a small piece of silicon, and they power everything from phones to AI data centers. Full explainer →
A TPU (tensor processing unit) is a chip Google designed specifically to speed up machine learning. It's built for the huge matrix math that neural networks run on. Full explainer →
An AI data center is a huge building full of specialized computers, mostly GPUs, that train AI models and answer requests to them. It works like a normal data center but needs far more electricity, faster connections and much stronger cooling. Full explainer →