Google AI Research Over Cloud Capacity, Sundar Pichai Admits

Google’s parent company, Alphabet, and its CEO, Sundar Pichai, who oversees Google’s new AI products, share insights into the current AI landscape and how the chipset shortage limits Google’s ability to expand cloud capacity for customers.

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Despite the chipset disruption, Sundar Pichai prioritizes AI researchers at Google’s DeepMind to build more advanced AI models with greater capabilities while using existing capacity. Here is what we know so far:

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Google’s AI Ambitions vs Cloud Capacity: Pichai Explains the Strategy

On Google’s future plans, Sundar Pichai discussed current priorities and admitted that limitations could directly affect short-term revenue growth for Google Cloud Services.

Alphabet-owned Google now prioritizes AI research capacity. On Google Cloud capacity expansion, Sundar Pichai said the company is currently forgoing short-term revenue because of the computing trade-off required to support frontier AI models.

These AI models aim to reach the highest level of current capabilities. To do so, Google will need to acquire new infrastructure to train, run, and support this massive computing power.

Amid the ongoing chipset shortage, Google is struggling to set up chip servers and data-center space to run AI services. Pichai also shared that accommodating a new customer until 2027 amid this chip shortage will be “incredibly difficult to do.”

Pichai also pointed out that Google decides additional capacity for any business unit years in advance. Sundar Pichai set Google’s capacity for 2024.

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Why Prioritizing AI Research, Sundar Pichai Explains

While the chipset shortage is sparking global panic, Google’s Sundar Pichai is taking a different approach to capacity, saying the priority is to invest more in AI research through Google DeepMind.

Sundar Pichai shares that AI research at Google DeepMind is “non-negotiable” and a priority. He expects AI researchers to build more successful, improved models beyond the current AI frontier models that can perform many more tasks.

They ensure they use these frontier models to their current capacity while working in parallel to build infrastructure to upgrade or expand AI capacity in the future. His vision for the next ten years is to deliver better AI models.

Alphabet is expected to spend about $195 to $205 billion to build and improve its AI and cloud infrastructure.

In comparison, its Google Cloud unit reported $24.8 billion in second-quarter revenue, an 82% jump over the last year, and its contracted backlog has reached $514 billion.

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FAQs

Why is Google prioritising AI research over expanding Google Cloud capacity?

Google CEO Sundar Pichai says developing advanced AI models remains a priority even if it means sacrificing some short-term cloud revenue. The company is allocating computing resources to AI research and expanding its infrastructure.

How is the chip shortage affecting Google Cloud?

The shortage of chips and data-centre infrastructure makes it difficult for Google to expand computing capacity fast enough to meet customer demand. Pichai reportedly warned that accommodating new customers before 2027 could be very difficult.

What did Sundar Pichai say about Google DeepMind's AI research?

Sundar Pichai described AI research at Google DeepMind as a non-negotiable priority. The goal is to develop more capable AI models while using existing computing resources efficiently.

Is Google sacrificing cloud revenue to develop AI models?

Google is accepting a short-term revenue trade-off by directing some computing capacity to advanced AI research instead of offering it to more cloud customers.

When could Google accommodate more cloud customers?

Pichai reportedly said that adding new customers until 2027 could be difficult because of capacity constraints. This does not mean all new customers will be unable to access Google Cloud services before then.

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