Over 25 automakers have adopted the technology - including BYD, Lucid Group, and Nio - and Nvidia currently has $11 billion in its automotive pipeline, up from $8 billion last year.

Nvidia also started producing Orin, a system-on-a-chip that will serve as the AI supercomputer for intelligent and autonomous vehicles. The Nvidia brand has become synonymous with accelerated computing and ultra-realistic graphics, and the secret to that success is a tremendous capacity for innovation.Įarlier this year, the company released its latest GPU architecture, Hopper, which offers an order of magnitude performance increase compared to its predecessor, Ampere. Additionally, software revenue tends to come with higher margins than hardware revenue, and CFO Colette Kress recently told investors, 'As new products ramp and software becomes a larger percentage of revenue, we have opportunities to increase gross margins longer term.' That bodes well for the future. Those software products supplement Nvidia's hardware, making its compute platform a more comprehensive solution for creative professionals, researchers, developers, and data center operators. It allows creators to build virtual worlds in a collaborative setting, and it empowers engineers to generate synthetic data for the purpose of training autonomous robots and vehicles. Likewise, Omniverse is a suite of 3D design and simulation software. Nvidia also offers frameworks that accelerate software development for specific use cases, such as Isaac for AI robotics applications, Clara for AI healthcare applications, and Drive for autonomous vehicle applications. For instance, AI Enterprise is a suite of tools that helps developers build, deploy, and manage AI applications. Nvidia holds more than 90% market share in the supercomputer accelerator space, and has consistently achieved top results at the MLPerf benchmarks, a series of tests that measure the training and inference performance of AI hardware and software across language processing, objection classification, recommender systems, and other use cases.īetter yet, Nvidia has reinforced its leadership in the gaming and data center markets with a robust portfolio of subscription software. The company is equally dominant in the data center, where its chips and high-performance networking solutions are used to accelerate complex workloads like artificial intelligence (AI), data analytics, and scientific computing.

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