Google is expanding its AI chip lineup with two specialized TPUs arriving next year: the TPU 8tx, which encrypts sensitive data at the chip level for confidential computing, and the TPU 8i Max, which combines two TPU chips to provide more processing power and memory for long-context workloads. The move broadens Google's challenge to Nvidia as demand outstrips supply, with Google saying every TPU it currently has is already committed to customers. Quartz reports: The 8tx is designed for sensitive, privacy-focused jobs run by clients including public-sector bodies and businesses in heavily regulated sectors, according to Bloomberg. It pairs with a central processing unit from Advanced Micro Devices and encrypts data at the chip level. Normally, data must be decrypted in memory as the machine works on it, [said Amin Vahdat, Chief Technologist for AI & Infrastructure at Google].
The 8i Max is meant for AI applications that need long context windows, meaning the volume of information a model can take into account within one request. Vahdat said that matters for drug discovery, math and coding. The chip packs two TPU chips together, giving it extra processing muscle and memory.
Both variations are reconfigured versions of existing silicon rather than new designs, Vahdat said. Google changed them to handle tasks customers have requested. They follow two TPU models Google released this year, according to Bloomberg, which said the chip unit used to release one new processor every two years. "We could build a single chip that tries to address the whole market, or by building specialized versions of the chips, we actually can deliver much more value," Vahdat said, according to Bloomberg.
The 8i Max is meant for AI applications that need long context windows, meaning the volume of information a model can take into account within one request. Vahdat said that matters for drug discovery, math and coding. The chip packs two TPU chips together, giving it extra processing muscle and memory.
Both variations are reconfigured versions of existing silicon rather than new designs, Vahdat said. Google changed them to handle tasks customers have requested. They follow two TPU models Google released this year, according to Bloomberg, which said the chip unit used to release one new processor every two years. "We could build a single chip that tries to address the whole market, or by building specialized versions of the chips, we actually can deliver much more value," Vahdat said, according to Bloomberg.
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