NVIDIA has reported record quarterly revenue of $1.40 billion and record full-year revenue of $5.01 billion.
The firm’s Q4 revenue was up 12 per cent from a year earlier, and the full-year revenue was another record breaker, up seven per cent from fiscal 2015.
"We had another record quarter, capping a record year," said Jen-Hsun Huang, co-founder and chief executive officer, NVIDIA.
"Our strategy is to create specialised accelerated computing platforms for large growth markets that demand the 10x boost in performance we offer. Each platform leverages our focused investment in building the world’s most advanced GPU technology.
"NVIDIA is at the centre of four exciting growth opportunities – PC gaming, VR, deep learning, and self-driving cars. We are especially excited about deep learning, a breakthrough in artificial intelligence algorithms that takes advantage of our GPU’s ability to process data simultaneously.
"Deep learning is a new computing model that teaches computers to find patterns and make predictions, extracting powerful insights from massive quantities of data. We are working with thousands of companies that are applying the power of deep learning in fields ranging from life sciences and financial services to the Internet of Things," he said.
NVIDIA has also revealed growth across all market platforms, including gaming, professional, visualisation, datacenter and automotive.
The firm noted the announcement of its GeForce GTX VR Ready program and the release of the NVIDIA GameWorks VR as highlights in the gaming sector.
Q4 also saw the launch of NVIDIA DRIVE PX 2, a powerful engine for in-vehicle artificial intelligence, as well as the announcement that Volvo will use DRIVE PX 2 to power a fleet of 100 Volvo XC90 SUVs.
In the visualisation arena, NVIDIA rolled out its Iray plugins for Autodesk Maya and Autodesk 3ds Max, along with its DesignWorks VR – a dev kit for developers of VR software and headsets for enterprise use.
The datacenter was another area that saw growth for the firm. It introduced an end-to-end hyperscale datacenter deep learning platform and revealed new breakthroughs from leading web-services groups using NVIDIA GPUs, including Facebook’s ‘Big Sur’ computing system for machine learning applications, which is powered by the NVIDIA Tesla accelerated computing platform.
Looking ahead to NVIDIA’s first quarter of fiscal 2017, the firm expects to see revenue of $1.26 billion.