Nvidia Strikes $1 Billion GPU Deal in India, Boosting AI Capabilities with Yotta

Date:

Nvidia has struck a $1 billion deal with Indian datacenter operators to boost their artificial intelligence (AI) capabilities with tens of thousands of GPUs. Yotta, an Indian bit-barn company, plans to deploy 32,000 Nvidia H100 and H200 GPUs by 2025. Yotta CEO, Sunil Gupta, stated that approximately 16,000 GPUs will be delivered in July for deployment at their AI-focused datacenter in Gujarat International Finance Tec-City. Yotta predicts that machine-learning adoption in India will reach $14 billion by the end of the decade, but this growth is dependent on the availability of infrastructure, particularly American-made accelerators such as Nvidia’s. Nvidia’s expansion in India is significant as it faces restrictions on selling high-end datacenter GPUs in China. These restrictions have prompted Nvidia to develop export-compliant accelerators below the export limits specified by the US government. Despite these challenges, Nvidia remains optimistic about the demand for AI accelerators worldwide and expects limited impact on its financial results.

See also  Revolutionizing Urban Safety: AI-Powered Traffic Monitoring for Safer Cities

Frequently Asked Questions (FAQs) Related to the Above News

What is the recent deal between Nvidia and Indian datacenter operators?

Nvidia has struck a $1 billion deal with Indian datacenter operators to enhance their AI capabilities by providing tens of thousands of GPUs.

Which Indian company will benefit from this deal?

Yotta, an Indian bit-barn company, will benefit from this deal with Nvidia.

How many GPUs does Yotta plan to deploy by 2025?

Yotta plans to deploy 32,000 Nvidia H100 and H200 GPUs by 2025.

When will the first batch of GPUs be delivered?

Approximately 16,000 GPUs will be delivered in July for deployment at Yotta's AI-focused datacenter in Gujarat International Finance Tec-City.

What is Yotta's prediction for machine-learning adoption in India?

Yotta predicts that machine-learning adoption in India will reach $14 billion by the end of the decade.

What factor is crucial for this projected growth?

The availability of infrastructure, especially American-made accelerators like Nvidia's, is crucial for the projected growth.

Why is Nvidia's expansion in India significant?

Nvidia faces restrictions on selling high-end datacenter GPUs in China, making its expansion in India an important market opportunity.

How has Nvidia addressed the restrictions in China?

Nvidia has developed export-compliant accelerators below the export limits set by the US government to navigate the restrictions in China.

What is Nvidia's outlook for the demand of AI accelerators worldwide?

Despite the challenges faced, Nvidia remains optimistic about the demand for AI accelerators worldwide.

What is Nvidia's expectation in terms of financial impact?

Nvidia expects limited impact on its financial results despite the restrictions and challenges it faces.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

Share post:

Subscribe

Popular

More like this
Related

Hacker Breaches OpenAI, Exposing ChatGPT Designs: Cybersecurity Expert Warns of Growing Threats

Protect your AI technology from hackers! Cybersecurity expert warns of growing threats after OpenAI breach exposes ChatGPT designs.

AI Privacy Nightmares: Microsoft & OpenAI Exposed Storing Data

Stay informed about AI privacy nightmares with Microsoft & OpenAI exposed storing data. Protect your data with vigilant security measures.

Breaking News: Cloudflare Launches Tool to Block AI Crawlers, Protecting Website Content

Protect your website content from AI crawlers with Cloudflare's new tool, AIndependence. Safeguard your work in a single click.

OpenAI Breach Reveals AI Tech Theft Risk

OpenAI breach underscores AI tech theft risk. Tighter security measures needed to prevent future breaches in AI companies.