
Nvidia revealed a revenue of $13.51 billion which was more than double the revenue of $6.7 billion from last year.
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Nvidia revealed a revenue of $13.51 billion which was more than double the revenue of $6.7 billion from last year.
In the 2nd quarter earnings report Nvidia revealed a revenue of $13.51 billion which was more than double the revenue of $6.7 billion from last year. More than this, Nvidia also recorded a net income of $6.18 billion which was 9 times more than the $656 million profit it made at the same time last year. This mega boom is on the back of the AI gains Nvidia has made in the last decade. With the age of generative AI now being in vogue, Nvidia has not only become the biggest semiconductor company in the world but also the leader in the area of semiconductors that are used for training AI models.
Nvidia which is already a leader in the realm of Gaming thanks to its graphics processors powering triple A gaming on the PC, it booked $2.49 billion in net revenue which was also a 22% improvement over last year. This also comes after it started shipping the GeForce RTX 4060 GPU which is its budget offering for gamers. It also comes at the time it launched its Avatar Cloud Engine along with the addition of 35 DLSS games like Diablo 4.
Its AI division saw a record $10.32 billion in the revenue which was an improvement of 141% from Q1 this year and an enhancement of 171% from last year. Its H100 Tensor Core GPU is building more complex systems like its HGX box that combines eight H100 GPUs. It has benefited as customers like Microsoft Azure are using it help Open AI build large language models like ChatGPT.
"Our Data Center products include a significant amount of software and complexity which is also helping for gross margins," said NVIDIA finance chief Colette Kress in an analyst call.
"During the quarter, major cloud service providers announced massive NVIDIA H100 AI infrastructures. Leading enterprise IT system and software providers announced partnerships to bring NVIDIA AI to every industry. The race is on to adopt generative AI," Jensen Huang said in a statement.
"Companies worldwide are transitioning from general-purpose to accelerated computing and generative AI,” he added.
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