Google escalates Nvidia rivalry with specialised versions of AI chips
AI generated
Alphabet’s Google is rolling out a broader array of artificial intelligence chips, aiming to capitalise on its rapid ascent as a challenger to Nvidia in a market worth hundreds of billions of dollars.
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Google → escalate → dollars
The company is introducing two new variations of its tensor processing units, or TPUs, custom-made semiconductors that help develop and run AI software.
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that → introduce → software
The latest chips will address the need for confidential computing and help models access a wider range of information when handling queries.
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models → address → queries
More broadly, they are meant to serve an industry that is shifting towards the use of AI agents and confronting security challenges.
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that → mean → challenges
The roll-out marks an acceleration in product development for Google’s chip unit.
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out → mark → unit
The business once released a new AI processor every two years.
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business → release → processor
In 2026, it put out two at the same time.
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it → put → time
And the latest variations, due to be announced on Nov 9, will add additional flavours to that pair of chips.
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variations → announce → chips
The four TPU offerings will optimise different needs, Google chip chief Amin Vahdat said in an interview.
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Vahdat → optimise → interview
“This really follows the thesis that we have here at Google, which is that the future is going to be about specialisation, and the upsides for specialisation continue to be significant.
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upsides → follow → specialisation
Google is staking its claim at a tumultuous time for the AI chip industry.
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Google → stake → industry
Concerns about a potential slowdown in infrastructure spending have roiled tech stocks, and US midterm elections that swept Democrats into power have raised fresh doubts about data centre projects.
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that → roil → projects
But the demand for AI processors from Nvidia remains larger than it can satisfy, and that has left room for Google and other contenders to build a sizeable business.
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Google → remain → business
The new TPU 8tx and 8i Max variations are not completely new silicon designs – rather, they are reconfigured to take on tasks that customers have been requesting, Vahdat said.
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Vahdat → reconfigure → that
The 8tx is aimed at handling secure, confidential work for customers like government agencies and companies in regulated industries.
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8tx → aim → industries
The system works with chips from Advanced Micro Devices, part of a collaboration between the two companies.
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system → work → companies
The 8i Max, meanwhile, is meant to run AI applications that require long-context windows – the amount of data an AI system can consider in a single request.
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system → mean → request
That is necessary for things like drug discovery and mathematics, but is also important for coding applications, Vahdat said.
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Vahdat → cod → applications
TPUs compete in a market dominated by Nvidia’s graphics processing units, or GPUs.
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TPUs → compete → units
Google set out to develop the technology more than a decade ago, alongside Broadcom, which helped with design and coordinating production.
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which → set → production
The initial idea was to more efficiently handle the search giant’s burgeoning computing needs.
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idea → handle → needs
It then realised the potential of TPUs for doing AI work and has now begun selling them outside its cloud-computing operation.
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It → realise → operation
Google’s new life as a chip seller is proving lucrative.
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life → prove → seller
By 2028, TPU sales will top US$135 billion (S$173 billion), including related software and hardware, according to Bloomberg Intelligence.
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sales → top → Intelligence
That is up from an estimated US$12 billion in 2026, and it does not include sales from clients using the chips through Google Cloud.
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it → estimate → Cloud
TPUs have netted some high-profile clients, including Apple, Meta Platforms and Oracle.
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TPUs → net → Apple
And offering specialised versions of the chips should help Google make further progress, Vahdat said.
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Vahdat → offer → progress
The variations will be available in 2027, he said.
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he → say → 2027
“We could build a single chip that tries to address the whole market or, by building specialised versions of the chips, we actually can deliver much more value,” he said.
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he → build → value
Even Nvidia, which has historically promoted its GPUs as a product for all AI tasks, is starting to offer more specialised chip systems.
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which → promote → systems
That includes offering its own central processing units, or CPUs, a category pioneered by Intel.
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That → include → Intel
Those processors do not handle the heavy-duty data crunching needed to create AI models, but they are useful for managing AI agents.
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they → handle → agents
Nvidia is also offering chips more focused on the inference stage of AI – where already-trained AI models carry out tasks – using technology it acquired from start-up Groq.
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it → offer → Groq
Google’s 8tx pairs with a CPU from AMD, a rival to both Nvidia and Intel.
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8tx → pair → Nvidia
The technology allows data to be encrypted at the chip level, making it more secure.
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it → allow → level
Normally, the information has to be unlocked in memory while a computer processes it, Vahdat said.
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Vahdat → have → it
The 8i Max puts two TPU chips in a single package to deliver more computing power and memory.
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Max → put → power
Part of the appeal of TPUs is their price for performance, said Mandeep Singh, an analyst at Bloomberg Intelligence.
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Singh → say → Intelligence
They cost about 30% less than Nvidia’s GPUs but do a competitive job in terms of throughput – the amount of data that can be processed over a given time.
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that → cost → time
The approach appeals to a variety of clients, including users in finance and other fields.
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approach → appeal → finance
…and 35 more, not listed.