NVIDIA, the powerhouse in the world of graphics processing units (GPUs), has shattered revenue records in its latest quarter, riding on the crest of an insatiable demand for its GPUs that are powering artificial intelligence (AI) and generative AI models.
In its fiscal second quarter ending on July 30, the Silicon Valley tech giant reported an astonishing total revenue of $13.51 billion, marking a staggering 101% surge compared to the same period last year. Impressively, revenue also spiked by 88% over the previous quarter.
Jensen Huang, NVIDIA’s founder, and CEO, heralded this achievement as the dawn of a “new computing era,” emphasizing that companies across the globe are transitioning from general-purpose computing to the realm of accelerated computing and generative AI.
Huang lauded the architecture encompassing their GPUs, inclusive of networking and switch technologies, as well as their CUDA AI software stack. He highlighted how these components collectively comprise the foundational infrastructure of generative AI.
The driving force behind this remarkable feat was NVIDIA’s data center division, which crafts GPUs for high-performance computing and cloud applications. This sector recorded record-breaking revenue of $10.32 billion, soaring by an impressive 171% on a yearly basis and a remarkable 141% from the prior quarter.
Colette Kress, NVIDIA’s Chief Financial Officer, attributed the robust demand for the NVIDIA HGX platform, based on the Hopper and Ampere GPU architectures, to the development of expansive language models and generative AI.
Major players in the cloud sphere, such as Google, Amazon Web Services, and Microsoft Azure, are embracing NVIDIA’s H100 GPUs to accelerate generative AI models. Among these models is DALL-E 2, renowned for generating images from textual prompts.
NVIDIA is also forging partnerships with enterprise IT vendors to propagate its AI platform across various industries. The company’s collaboration with VMware, for instance, aims to integrate its AI infrastructure into enterprise clouds.
To augment its AI prowess, NVIDIA introduced a series of new products and partnerships centered around generative models. Notable additions include the NVIDIA AI Workbench for the effortless creation and customization of generative AI models, and the NVIDIA Avatar Cloud Engine designed to infuse video game characters with intelligence through natural language AI.
Moreover, NVIDIA joined forces with notable names like ServiceNow, Accenture, Snowflake, and Hugging Face to expedite the adoption of generative AI in the enterprise landscape.
Amidst this demand surge, NVIDIA’s gaming revenue reached unprecedented heights. Leveraging the same core architecture empowering data center AI, the GeForce RTX 40 Series gaming GPUs contributed to a remarkable gaming revenue of $2.49 billion last quarter, reflecting a substantial 22% annual growth. This gaming segment comprised 18% of NVIDIA’s total revenue.
Colette Kress underscored the company’s focused approach, stating, “We specialize in markets where our computing platforms can provide tremendous acceleration for applications.” She emphasized NVIDIA’s pivotal role in the data center, gaming, professional visualization, and automotive sectors.
NVIDIA’s journey, as highlighted, has transformed it into a comprehensive computing company, offering data-center-scale solutions that are fundamentally reshaping industries. With future prospects looking strong, NVIDIA anticipates revenue to reach approximately $16 billion in the coming quarter, indicating a noteworthy 57% annual growth.