NVIDIA Corporation is an accelerated computing and AI infrastructure company that develops GPUs, systems, networking, software, and cloud services for AI, high-performance computing, digital twins, robotics, automotive, and graphics-intensive workloads. Its portfolio spans data center platforms, enterprise AI software, managed cloud infrastructure, edge AI computing, in-vehicle systems, and products for gaming and professional visualization.
NVIDIA Corporation operates across the stack, from silicon and interconnect to full systems, developer software, and cloud-delivered services. This positions it to support model development, inference, simulation, industrial digitalization, and real-time graphics for enterprises, developers, cloud providers, automakers, manufacturers, researchers, creators, and consumers worldwide.
Offerings, Capabilities, and Integrations
NVIDIA Corporation combines accelerated computing hardware with infrastructure software, developer tooling, reference architectures, and managed cloud services. Its capabilities cover AI training and inference, simulation, industrial digitalization, robotics, high-performance computing, and advanced graphics, with deployment options that span data center, cloud, workstation, and edge environments.
The company’s stack is designed to help customers standardize AI and accelerated workloads across on-premises and public cloud infrastructure. Its software portfolio includes containers, microservices, APIs, SDKs, and enterprise support, while its platforms are built to work with major cloud providers, cloud-native operations tooling, and partner ecosystems for scalable production deployment.
Products and Services
- NVIDIA AI Enterprise: Cloud-native software suite for developing, deploying, and managing production AI applications across cloud, data center, and edge environments, with enterprise support and optimized runtimes.
- DGX Cloud: Fully managed AI platform and cloud service for training, fine-tuning, and running AI workloads on NVIDIA-optimized infrastructure across major cloud providers.
- Omniverse Cloud: Cloud-based APIs and services for OpenUSD workflows, digital twins, 3D application streaming, and physical AI simulation.
- NVIDIA NGC: Portal and catalog for GPU-optimized software, enterprise services, containers, models, Helm charts, private registry capabilities, and related management tools.
- DGX Platform: Integrated enterprise AI platform that combines DGX systems, software, and expertise for building and operating AI factories, including DGX SuperPOD deployments.
- HGX Platform: Data center platform for large-scale AI and HPC servers, combining NVIDIA GPUs, CPUs, networking, and software for hyperscale and enterprise deployments.
- Jetson: Edge AI and robotics platform with compact modules, developer kits, and software for autonomous machines and embedded AI systems.
- DRIVE AGX: In-vehicle AI computing platform for autonomous and AI-defined vehicles, supporting advanced driver assistance and autonomous driving workloads.
- GeForce Graphics Cards: Consumer graphics card family for PC gaming and creator workloads, with RTX technologies such as ray tracing, DLSS, and AI-enhanced rendering.
- NVIDIA RTX PRO: Professional GPU and workstation platform for AI, rendering, simulation, design, and visualization workloads.
- NVIDIA NIM: Prebuilt inference microservices for deploying AI models on NVIDIA-accelerated cloud, data center, workstation, and edge infrastructure.
- NVIDIA NeMo: Toolkit and microservices for customizing, evaluating, monitoring, and optimizing models and AI agents across their lifecycle.
- DGX SuperPOD: Scalable AI supercomputing infrastructure built on DGX systems for training and inference at cluster scale.
- NVIDIA BlueField Platform: Infrastructure computing platform and DPU family for networking, storage, security, and data movement in AI data centers.
- NVIDIA RTX PRO Servers: New server category built around RTX PRO 6000 Blackwell Server Edition GPUs for enterprise AI, industrial AI, and visual computing workloads.
Target Customers
NVIDIA Corporation targets enterprise IT teams, AI platform engineers, data scientists, developers, and solution builders that need accelerated infrastructure for model training, inference, simulation, analytics, and digital twin workflows. It also works with cloud providers, OEMs, server makers, software vendors, and systems integrators that embed or deliver its platforms as part of larger solutions.
NVIDIA Corporation also serves automakers and mobility developers, robotics and edge AI builders, manufacturers, telecom operators, healthcare and life sciences organizations, financial services firms, retailers, public sector institutions, and research organizations. On the client side, it addresses gamers, creators, designers, engineers, and visualization professionals through its graphics and workstation portfolio.
Cloud Integrations and Marketplace
- AWS Marketplace: NVIDIA Corporation has marketplace presence on AWS through NVIDIA AI Enterprise, and it supports DGX Cloud procurement on AWS through marketplace private offers.
- Microsoft Azure Marketplace: NVIDIA Corporation has verified Microsoft Azure Marketplace listings for NVIDIA AI Enterprise and DGX Cloud, and it also offers Omniverse-related cloud and workstation deployments on Azure.
- Google Cloud Marketplace: NVIDIA Corporation has verified Google Cloud Marketplace presence for DGX Cloud and NVIDIA AI Enterprise, with additional Google Cloud integrations for RTX virtual workstations and NGC-based workflows.
Key People
- Jensen Huang: Founder, President and Chief Executive Officer
- Colette Kress: EVP and Chief Financial Officer
- Jay Puri: EVP, Worldwide Field Operations
- Debora Shoquist: EVP, Operations
- Tim Teter: EVP, General Counsel and Secretary
- Chris A. Malachowsky: Founder and NVIDIA Fellow
Key Facts
- Headquarters: Santa Clara, California, United States
- Employees: Approximately 42,000
- Annual Revenue: $215.9B
- Parent Company: None
- Subsidiaries: 3 significant wholly owned subsidiaries, including Mellanox Technologies, Ltd.; NVIDIA International, Inc.; and NVIDIA Singapore Pte Ltd
- Publicly Listed: NASDAQ: NVDA
Analyst Recognitions
- Forrester: Leader in The Forrester Wave™: AI Infrastructure Solutions, Q4 2025.
