Nvidia CEO: Gaming will be huge, but so will AI and data center businesses

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Nvidia reported a stellar quarter for the three months ended October 31. Nvidia had $2.6 billion in revenue in the quarter, and $1.5 billion of it came from graphics chips for gaming PCs. But the company's investment in artificial intelligence chips is paying off, with data center growing beyond $500 million in revenue for the first time. Jensen Huang, CEO of Santa Clara, California-based Nvidia, said his company started investing in AI seven years ago, and that its latest AI chips are the result of years of work by several thousand engineers. That has given the company an edge in AI, and other rivals are scrambling to keep up, he said.


Nvidia CEO: AI is the single most powerful force of our time

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Nvidia CEO Jensen Huang said AI would drive long-term demand because it is the "single most powerful force of our time." Nvidia reported earnings and revenues that beat analysts' expectations as demand for graphics and artificial intelligence chips picked up in the second fiscal quarter. Huang also said his company's near-term growth will come from gaming and a couple of variants of the company's artificial intelligence chip business: inferencing and AI at the edge. During a conference call with analysts, Huang said artificial intelligence is the "single most powerful force of our time" and that there are more than 4,000 AI startups working with the company -- as compared to 2,000 AI startups in April 2017. In an interview with VentureBeat, Huang said the actual number of AI startups Nvidia is tracking is closer to 4,500.


Nvidia CEO: AI is the single most powerful force of our time

#artificialintelligence

Nvidia CEO Jensen Huang said AI would drive long-term demand because it is the "single most powerful force of our time." Nvidia reported earnings and revenues that beat analysts' expectations as demand for graphics and artificial intelligence chips picked up in the second fiscal quarter. Huang also said his company's near-term growth will come from gaming and a couple of variants of the company's artificial intelligence chip business: inferencing and AI at the edge. During a conference call with analysts, Huang said artificial intelligence is the "single most powerful force of our time" and that there are more than 4,000 AI startups working with the company -- as compared to 2,000 AI startups in April 2017. In an interview with VentureBeat, Huang said the actual number of AI startups Nvidia is tracking is closer to 4,500.


Nvidia CEO: Gaming will be huge, but so will AI and data center businesses

#artificialintelligence

Nvidia reported a stellar quarter for the three months ended October 31. Nvidia had $2.6 billion in revenue in the quarter, and $1.5 billion of it came from graphics chips for gaming PCs. But the company's investment in artificial intelligence chips is paying off, with data center growing beyond $500 million in revenue for the first time. Jensen Huang, CEO of Santa Clara, California-based Nvidia, said his company started investing in AI seven years ago, and that its latest AI chips are the result of years of work by several thousand engineers. That has given the company an edge in AI, and other rivals are scrambling to keep up, he said.


VMware and Nvidia launch hybrid cloud on AWS for machine learning

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Nvidia and VMware today announced an enterprise-grade hybrid cloud on AWS that is optimized for machine learning, AI, and data science workflows. The VMware Cloud on AWS with Nvidia is capable of operating from cloud and on-premise servers and will make it easier to migrate VMware vSphere-based applications to the cloud to accelerate high-performance computing or machine learning for research, experimentation, and deployment in production. Today's news comes at the beginning of the VMworld conference in San Francisco and just days after VMware acquired cloud security and app development startups Pivotal and Carbon Black for $5 billion. Nvidia today also introduced vCompute Server for the GPU-accelerated deployment of workloads in virtual environments, including VMware's vSphere, vCenter, and VMware Cloud. The latest virtual GPU offering from Nvidia can make the completion of deep learning training up to 50 times faster than with a CPU alone.