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.
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.
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