4 Sources
[1]
Google in talks with Samsung to make part of next-gen chip: Report
Google is reportedly in talks with Samsung Electronics for manufacturing a component of its upcoming AI processor. This collaboration could boost Samsung's chip manufacturing business. The processor, codenamed "Icefish", is still in development with mass production potentially starting in 2028. This move suggests Google's effort to diversify its chip manufacturing sources. Alphabet's Google is in talks with Samsung Electronics to manufacture part of its next-generation artificial intelligence processor, The Information reported on Thursday, citing two people familiar with the matter. Google plans for TSMC to make the main computing part of the tensor processing unit, codenamed "Icefish", while Samsung may produce a component that helps connect it to memory using its 2-nanometer production technology, the report said. The tech giant is working with chip firm MediaTek on the design, and "Icefish" is still in development, with mass production possible as early as 2028, the report said. Landing the contract would mark a big win for Samsung's push to grow its contract chip-manufacturing business. The 2nm process packs more power into smaller chips, potentially improving speed, power use and AI capabilities. Samsung Electronics declined to comment, while Alphabet did not immediately respond to a request for comment. Reuters could not independently verify the report. In April, Samsung said it expects to win more customers for chips manufactured using the advanced technology and was considering a second Texas plant to ramp up production. In July 2025, it landed a $16.5 billion deal with Tesla to make AI chips using the process. The report is the latest to suggest that Google is looking to reduce reliance on TSMC, which is trying to keep up with surging AI demand but could prove to be a bottleneck for the industry. The Information reported on Monday that Google was in talks with Intel to manufacture more than three million TPUs in 2028. Google's in-house AI chips have emerged as an alternative to Nvidia's dominant graphics processors, with rising sales of the TPUs becoming a growth driver for its cloud unit. It unveiled two new custom chips in April, designed for training AI models and inference.
[2]
Global Chip War Intensifies: Google & Samsung's Potential AI Chip Alliance Signals a New Era
At first glance, this may seem like another business deal between two tech giants. However, industry experts believe it reflects a much larger shift taking place in the global AI and semiconductor markets. Google has been aggressively investing in its proprietary Tensor Processing Units (TPUs) -- specialized chips designed to train and run artificial intelligence models. These chips have become increasingly important for Google's cloud business and AI services as the company seeks alternatives to the dominance of Nvidia's GPUs. The upcoming Icefish processor is reportedly Google's tenth-generation TPU and is being developed in partnership with chip design company MediaTek. Reports indicate that the chip could enter mass production as early as 2028. Under the current plan, the most computationally intensive portion of the chip is expected to be manufactured by TSMC, the world's leading advanced chipmaker. Samsung, meanwhile, may produce the memory-interface component using its advanced 2-nanometer manufacturing technology.
[3]
Google in talks with Samsung to make part of next-gen chip: report - The Korea Times
Alphabet's Google is in talks with Samsung Electronics to manufacture part of its next-generation artificial intelligence processor, The Information reported on Thursday, citing two people familiar with the matter. Google plans for TSMC to make the main computing part of the tensor processing unit, codenamed "Icefish", while Samsung may produce a component that helps connect it to memory using its 2-nanometer production technology, the report said. The tech giant is working with chip firm MediaTek on the design, and "Icefish" is still in development, with mass production possible as early as 2028, the report said. Landing the contract would mark a big win for Samsung's push to grow its contract chip-manufacturing business. The 2nm process packs more power into smaller chips, potentially improving speed, power use and AI capabilities. Samsung Electronics declined to comment, while Alphabet did not immediately respond to a request for comment. Reuters could not independently verify the report. In April, Samsung said it expects to win more customers for chips manufactured using the advanced technology and was considering a second Texas plant to ramp up production. In July 2025, it landed a $16.5 billion deal with Tesla to make AI chips using the process. The report is the latest to suggest that Google is looking to reduce reliance on TSMC, which is trying to keep up with surging AI demand but could prove to be a bottleneck for the industry. The Information reported on Monday that Google was in talks with Intel to manufacture more than three million TPUs in 2028. Google's in-house AI chips have emerged as an alternative to Nvidia's dominant graphics processors, with rising sales of the TPUs becoming a growth driver for its cloud unit. It unveiled two new custom chips in April, designed for training AI models and inference.
[4]
Google Considers Samsung for Part of Future AI Chip Production
This move comes amid significant strain on global semiconductor production capacity. TSMC, the industry leader, is struggling to meet the surging demand driven by the rise of artificial intelligence, prompting major technology players to diversify their industrial partnerships. For Samsung, securing such a contract would represent a major milestone in its strategy to expand its advanced foundry business. Simultaneously, Google is continuing its efforts to strengthen the position of its Tensor Processing Units (TPUs) against Nvidia chips, which currently dominate the AI market. According to published reports, "Icefish" is still in the design phase and could enter mass production as early as 2028. This initiative also follows reports of discussions between Google and Intel for the manufacturing of several million TPUs, illustrating the group's determination to secure its long-term supply chains.
Share
Copy Link
Google is negotiating with Samsung Electronics to manufacture a critical component of its upcoming Tensor Processing Unit, codenamed Icefish. The deal would use Samsung's advanced 2-nanometer technology for the memory-connecting component, while TSMC handles the main computing portion. Mass production could begin in 2028 as Google works to reduce its dependence on a single chipmaker.
Google is in discussions with Samsung Electronics to manufacture a component of its next-generation AI processor, marking a significant shift in the tech giant's chip manufacturing strategy
1
. The Icefish processor, Google's tenth-generation Tensor Processing Unit, is being developed in partnership with chip design firm MediaTek and could enter mass production as early as 20282
. Under the proposed arrangement, TSMC would manufacture the main computing portion of the chip, while Samsung would produce a memory-connecting component using its advanced Samsung 2-nanometer technology3
. The 2nm process packs more power into smaller chips, potentially improving speed, power use and AI capabilities.
Source: DT
Landing the Google Samsung partnership would represent a major win for Samsung's efforts to grow its contract chip-manufacturing business in the semiconductor industry
3
. Samsung has been actively pursuing customers for its advanced manufacturing processes, announcing in April that it expects to win more customers and was considering a second Texas plant to ramp up production1
. The company already secured a $16.5 billion deal with Tesla in July 2025 to make AI chips using the same 2-nanometer process3
. This momentum signals Samsung's determination to compete more aggressively in the foundry market against industry leader TSMC.The discussions reflect Google's broader strategy to reduce reliance on TSMC, which is struggling to keep up with surging AI demand and could prove to be a bottleneck for the industry
1
. This move comes amid significant strain on global semiconductor production capacity, prompting major technology players to diversify chip manufacturing sources4
. Google is also in talks with Intel to manufacture more than three million TPUs in 2028, further illustrating the company's determination to secure its long-term supply chain3
4
. By spreading production across multiple partners, Google aims to mitigate risks associated with depending on a single manufacturer in the global chip war.
Source: ET
Related Stories
Google's in-house AI chip capabilities have emerged as a viable alternative to Nvidia's dominant graphics processors, with rising sales of Tensor Processing Units becoming a growth driver for its cloud unit
1
. The company unveiled two new custom chips in April, designed for training AI models and inference3
. These specialized chips are designed to train and run artificial intelligence models, becoming increasingly important for Google's cloud business and AI services2
. Industry experts believe the Google AI chip development reflects a much larger shift taking place in the global AI and semiconductor markets, as companies seek to break free from dependence on Nvidia's ecosystem2
. The Icefish processor is still in the design phase, with MediaTek collaborating on the development of this next-generation AI processor4
.Summarized by
Navi
[4]
18 Mar 2025•Technology

26 May 2025•Technology
08 Jun 2026•Technology

1
Technology

2
Business and Economy

3
Health
