NVIDIA

NVIDIA (NVIDIA Corporation) is a Santa Clara, California-based company founded in 1993 by Jensen Huang, Curtis Priem, and Chris Malachowsky. NVIDIA employs nearly 12,000 people worldwide and 5,000 in Silicon Valley. NVIDIA began as a computer graphics company and has since expanded into a full-stack computing company with data-center-scale offerings.

NVIDIA manufactures graphic processing units (GPUs) for gaming and professional markets, along with laptops and drivers. The company's main products are GeForce, the world's largest gaming platform, and NVIDIA DRIVE™, Nvidia's scalable AI car platform. NVIDIA also designs GameWorks software for photorealistic gaming.

Nvidia also designs systems on a chip (SOCs) for the automotive and computing markets, for high-end gaming computers, data centers, and automotive infotainment systems. Nvidia offers a series of computing technologies, including the Quadro series of video cards for professional graphics, the Tegra series of chips for cellular phones and lightweight computing, the nForce series for multimedia functions, and the Tesla series for high-end business and scientific computers.

Nvidia develops a variety of technologies across various markets, including consumer, gaming, and enterprise. Much of this technology is centered around the company's GPUs, including digital twin technologies and simulations to help enterprises increase efficiencies and developers build robotic systems. The company offers data centers and cloud-based artificial intelligence engines built on its chip manufacturing and software manufacturing, including developing technologies to power computer vision, conversational AI, recommender systems, AI avatars, robotics, and autonomous vehicles. These technologies and AI are also being developed by NVIDIA for healthcare, for AI and compute engines for software-defined medical devices.

NVIDIA has developed AI and compute systems to address big data and solve new problems. The company offers machine learning and neural networks for specific feature detection amidst massive amounts of data and based on NVIDIA GPU parallel processing power and deep learning capabilities for learning in the neural networks on many layers of abstraction. The company developed the DirectX 12 API, which is used to develop games with ray tracing support to introduce new levels of realism. It has developed the Universal Scene Description (USD), an open-source 3D scene description and file format developed with Pixar for content creation. Other technologies include visual computing technologies, virtual reality capabilities, TXAA anti-aliasing, and 3D vision and surround.

NVIDIA's artificial intelligence platform—NVIDIA AI—uses several layers to develop its artificial intelligence solutions. This platform is composed of an AI supercomputer, AI software platform, AI models, and services, allowing users to engage the platform at any of these layers and across public and private clouds. The solutions offered by NVIDIA's AI platform include generative AI, AI training, data analytics, AI inference, AI for speech, and AI for cybersecurity.

NVIDIA's DGX Cloud is a multi-node, AI-training-as-a-service solution developed for enterprise use cases and allows them to take advantage of NVIDIA's AI solutions from both public and private clouds. Through the DGX Cloud, users can set up their AI infrastructure to meet their specific use cases and training cases.

The company's Generative AI includes allowing users to run the DGX Cloud with the NeMo and Picasso services to develop generative AI models through APIs, which can be deployed through NVIDIA's AI Foundations cloud services. These services can allow users to deploy generative AI-powered image, video, and 3D applications with text-to-image, text-to-video, and text-to-3D capabilities.

Similarly, NVIDIA launched four inference platforms developed for generative AI applications and intended to be optimized for specific generative AI use cases. The stack of inference software works with NVIDIA's Ada, Hopper, and Grace Hopper processors and is developed for in-demand workloads, including AI video and image generation and large language model deployment and recommender inference deployment.

NVIDIA also develops solutions for high-performance computing (HPC) for use in computational science. These systems are capable of being used for weather forecasting, energy exploration, computational fluid dynamics, life sciences, and for researchers using traditional simulations with artificial intelligence, machine learning, deep learning, big data analytics, and edge computing. HPC workloads can include simulation and modeling, AI systems running large-scale simulations, and for scientific visualizations.

NVIDIA offers solutions for self-driving cars. These include the NVIDIA DRIVE platform for software-defined vehicles, using Nvidia's computational capabilities, which offers users integrated driving hardware platforms and infrastructure for AI workflow and data ingestion to train and optimize deep neural networks for autonomous driving systems and related simulations. And NVIDIA offers intelligent assistants for use in vehicles, including the NVIDIA DRIVE Concierge and Chauffeur services that offer AI-assisted driving and intelligent services.

For data centers, NVIDIA offers several products to help those developing data centers with specific applications in mind. These include the Hopper GPU architecture, the Grace CPU architecture, and the BlueField DPU architecture. NVIDIA suggests using the company's three data center architectures together to take advantage of each and as they are developed to work together.