Google broadens its AI hardware portfolio with two new specialized chips
Google broadens its AI hardware portfolio with two new specialized chips

Google has released two new TPU chips, TPU 8tx and TPU 8i Max, for AI workloads, expanding its chip portfolio to confidential inference and larger memory capacity. The TPU 8tx was developed in collaboration with AMD, designed specifically for confidential training and running AI models, with hardware-level direct integration of security features; the TPU 8i Max combines two TPU 8i chips, doubling memory capacity, processing power, and bandwidth, supporting AI models to handle a wider range of information.
Same story3 other outlets also reported this
How the accounts differ:MarkTechPost states TPU 8tx uses TPU 8t chips paired with 5th gen AMD EPYC, while TechCrunch mentions it was co-developed with AMD for secret training and running AI models with direct hardware security integration.
- ITHome · AI··First
Google expands its TPU chip lineup with the launch of two new products, 8tx/8i Max, to challenge NVIDIA
- The Decoder··+15 min
Google launched four TPU variants within a year, intensifying competition with NVIDIA
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- MarkTechPost··+4 h 26 min
Google has launched the TPU 8i Max and TPU 8tx: a dual-chip TPU and a confidential TPU
- TechCrunch · AI··+27 h 10 min·Reading now
Google releases two new TPU chips to expand AI hardware portfolio
In order of publication · later reports are added as they appear · Compared by AI from each outlet’s title and summary
Google is notching up its chipmaking game as the company seeks to reduce its dependence on chips made by other companies for its cloud computing business. Google on Monday unveiled two new variants of its tensor processing units (TPUs), in-house developed chips meant for AI workloads, that broaden its chip portfolio to additional use cases: confidential inference and more memory capacity for large workloads.
The new units, TPU 8tx and TPU 8i Max, are part of the company’s eighth generation of chips introduced in April this year, and build on what those chips offered, which was more inference capacity and support for large training requirements.
TPU 8tx, designed with AMD, is based on the TPU 8t chip, and is geared specifically for confidentially training and running AI models, Google said in a blog post. The chip “builds security directly into the hardware layer, keeping sensitive data and model weights protected and isolated even while in active use,” the company wrote.
The chip also has a custom inferencing network that lets it run reasoning alongside training, so it can be used to distill and train small models on the fly. That ability, according to Google, could prove useful for cases where a company might want to train a model on its proprietary data without having to move the data between devices.
Meanwhile, TPU 8i Max basically combines two of the inference-focused TPU 8i chips the company launched in April, doubling the memory capacity, processing power and bandwidth, but in a single package. The result is a chip that lets AI models handle a larger range of information during queries.
The chip launch comes as hyperscalers like Microsoft, Amazon, and even AI labs like OpenAI and Anthropic are working on their own lines of AI-specific semiconductors and accompanying software in order to reduce their reliance on the dominance of Nvidia.
The news also comes at a particularly vulnerable moment for Nvidia, whose CEO Jensen Huang over the weekend admitted to having an affair with someone alleged to be a Chinese spy.
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Source: TechCrunch · AI · techcrunch.com