Google tests AI chips in space with satellite to assess feasibility of orbital data centers
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Olhar Digital
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Google tests AI chips in space with satellite to assess feasibility of orbital data centers

Google will launch a satellite equipped with Artificial Intelligence chips next week to test Project Suncatcher. This initiative aims to investigate the possibility of solar-powered computing structures being installed in space in the future.

As reported by The New York Times, this test will also serve to analyze how components behave under adverse conditions, such as radiation, extreme temperatures, and vacuum. A crucial aspect to verify is the system developed to dissipate heat generated by the chips without relying on air circulation.

The launch will be conducted in collaboration with Planet Labs, utilizing SpaceX's shared Transporter-18 flight. In low Earth orbit, the satellite will carry four of Google's Tensor Processing Units (TPUs) to confirm if they can execute AI tasks accurately.

The concept for this idea arose in response to the growing energy consumption required to operate artificial intelligence systems. In orbit, future data centers would have the advantage of receiving sunlight for significantly longer periods, overcoming certain restrictions imposed by current terrestrial infrastructure.

Currently, the mission is in its initial phase, being only a prototype. The primary goal is to collect data in orbit and identify potential flaws in the design.

Key technical challenges

One point of attention is the heat generation by the chips during information processing. While fans assist in dispersing this heat in conventional computers, there is no air available in the space environment for this function. To overcome this, Google implemented a solution based on heat pipes and radiators, which transfer heat from the components to structures capable of releasing it into space.

Radiation represents another significant challenge, as it can cause modifications to the data processed by the components, a phenomenon known as 'bit flips'. Although Google has already subjected its TPUs to tests at the University of California, Davis, the experience in orbit will be indispensable for understanding the hardware's reaction under real conditions.

Looking ahead, Google plans to launch two satellites in 2027 to test high-bandwidth laser connections. This type of communication will be essential for connecting future clusters of space computers.

Other companies, such as SpaceX and Starcloud, are also researching computing structures in space. However, experts point out that the technology is still far from commercially viable operation due to factors such as high launch costs, engineering complexities, and bottlenecks in satellite manufacturing.

Project expectations

James Manyika, Senior Vice President of Research at Google, expressed moderate expectations for the project. He stated that, being completely frank, they do not expect anything operationally useful in the coming years, comparing the effort to a long period of research that preceded the development of the company's autonomous vehicles.

Therefore, the first Suncatcher flight is not intended to deliver a functional orbital data center. Google's focus is primarily on determining whether the fundamental elements can survive and operate in the space environment before scaling the idea to something larger.

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Google Cloud deepens Gemini integration into Indian business processes through partnerships
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yourstory.com

Google Cloud deepens Gemini integration into Indian business processes through partnerships

Google Cloud is actively expanding its promotion of agentic artificial intelligence in India through partnerships, demonstrating the shift of AI from a simple assistant to an active task executor. During the first phase of the 'Let's Talk AI' media tour in Bengaluru on Thursday, the company unveiled collaborations with organizations such as boAt, Cropin, and Pine Labs, covering consumer electronics, agriculture, and commerce.

Together, the partners demonstrated Google Cloud's strategy of combining Gemini AI models with industry-specific data, devices, software, and payment infrastructure. The company's overall concept revolves around an integrated AI stack that includes infrastructure, on-device processing for the latest Gemini models, and the Gemini Enterprise platform for deploying AI agents.

Amit Kumar, Managing Director for Digital Natives at Google Cloud India, noted that as Indian organizations transition from pilot projects to workflow reimagining, they require sovereign flexibility alongside robust enterprise-grade models and platforms.

The company reported that Google Cloud customers using AI products apply 1.8 times more products on average compared to those who do not. In collaboration with parent company boAt, Imagine Marketing, Google Cloud is developing Crest AI—boAt's platform for next-generation audio devices. Gemini Live is intended to provide voice interaction, while broader functionality supports tasks such as translation and certain Google Workspace features.

Cropin presents a different use case. Its Sage platform, launched in 2024, uses Gemini together with geospatial and agricultural data to answer questions about crops, climate, and food production. Regarding agentic commerce, Pine Labs is closely collaborating with Google Cloud to help 60 million small and medium-sized enterprises in India participate in AI-driven purchases.

As part of this collaboration, an AI advertising agency will help merchants create campaigns on search engines, YouTube, and Pine Labs' POS devices. Furthermore, the Jarvis system, built on Gemini Enterprise, is designed to assist with merchant operations and customer support. On the payments front, Pine Labs stated that its P3P level can process transactions within the agent flow, initially via UPI, and the Grantex protocol is designed to ensure transaction auditability and compliance with Indian financial regulatory requirements. Pine Labs also plans to support the Universal Commerce Protocol (UCP), an open standard developed by Google for exchanging information between AI agents and commercial systems throughout the purchasing process.

Google introduced UCP in January 2026, later adding support for real-time product information, carts, and identifier linking. At the Google I/O event in May, Universal Cart was presented, designed to link purchasing activity across Search, Gemini, YouTube, and Gmail. Mastercard demonstrated an authenticated agent commerce transaction in India in February, and Visa announced in June a partnership with OpenAI to support Visa payments in agent commerce.

Google is also strengthening its supporting corporate structure parallel to these partnerships. The company is expanding its Forward-Deployed Engineer organization in India, placing Google AI specialists directly within client environments to accelerate project transition to production. Gemini Enterprise has also been augmented with support for long-term agents and centralized management.

A broader question remains whether AI agents can operate reliably enough to perform real-world tasks and transactions. Google Cloud addresses this challenge through model refinement, as well as through governance, cost control, security, and infrastructure. From an agentic AI perspective, India is becoming an increasingly important market for Google's deployment.

Last year, Google Cloud announced an expansion of local AI capacity by utilizing its AI Hypercomputer and TPU Trillium architecture, enabling customers to train and serve Gemini models in India. The company manages cloud infrastructure regions in Mumbai and Delhi.

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