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Nvidia Company Overview

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Nvidia

● Active
Hardware · Santa Clara, California · Est. 1993
AISemiconductorsHardwareCloud↗ Website
$2.8T
Valuation
$130.5B
Revenue
36k+
Employees
1993
Founded

NVIDIA Corporation is an American semiconductor and AI computing company headquartered in Santa Clara, California, that designs GPUs, system-on-chip units, and AI accelerator hardware for data centers, gaming, automotive, and robotics applications. Its CUDA parallel computing platform and H100/B200 GPU accelerators have made NVIDIA the dominant supplier of AI training and inference infrastructure for hyperscalers, cloud providers, and enterprises worldwide.

Recent Press
5 items
Press Release·2025-11-20
Nvidia Guides Q4 FY2026 Revenue of $65 Billion as Blackwell Manufacturing Scales
Nvidia guided Q4 FY2026 revenue of $65 billion (±2%) as Blackwell GPU manufacturing ramped to meet demand from hyperscalers, with systems remaining sold out through mid-2026 as the company targets $500 billion in FY2026 revenue.
Press Release·2025-11-20
Nvidia Q3 FY2026 Revenue Hits Record $57 Billion, Up 62% Year-Over-Year on Blackwell Demand
Nvidia reported record Q3 FY2026 revenue of $57.0 billion (+62% YoY) with data center revenue of $51.2 billion (+66% YoY) as CEO Jensen Huang declared Blackwell AI GPU sales "off the charts" and systems sold out through mid-2026.
Partnership·2025-10-15
Nvidia Partners with OpenAI for 10 Gigawatts of GPU Infrastructure and with Anthropic for 1 Gigawatt Grace Blackwell Deployment
Nvidia announced plans to deploy at least 10 gigawatts of systems with OpenAI and an initial 1 gigawatt of Grace Blackwell and Vera Rubin systems with Anthropic, cementing Nvidia's position as the foundational AI infrastructure provider.
Partnership·2025-09-25
Nvidia Invests $5 Billion in Intel to Co-Develop Next-Generation Chips Combining Both Companies' Technologies
Nvidia agreed to invest $5 billion in Intel in September 2025 and announced plans to co-develop a new generation of chips combining technologies from both companies, signaling a landmark partnership between two semiconductor giants.
Product Launch·2025-09-25
Nvidia Announces Rubin Next-Generation AI GPU Architecture for Mass Production in H2 2026
Nvidia unveiled the Rubin AI GPU family as the successor to Blackwell, targeting mass production in the second half of 2026, maintaining the company's annual GPU architecture cadence to stay ahead of enterprise AI compute demand.
Company History
10 milestones
NVIDIA was founded on April 5, 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem with a vision to bring 3D graphics to the PC market, initially focusing on multimedia and video game graphics chips.

Nvidia Organization Structure & Team

Org Chart
36,000 employees · Click a leader to explore their team
23,460 across 13 departments
Chief Executive Officer
Jensen Huang
Colette Kress — Departments
· 23460 people across 13 depts

Nvidia Financials, Revenue & Market Share

Annual Revenue
$130.5B
+114% vs prior year
YoY Growth
+114%
From $16.7B to $130.5B
Revenue / Employee
$3.6M
Annual revenue per full-time employee
Revenue Growth
2021
2022
2023
2024
2025
$16.7B
$26.9B
$26.0B
$60.9B
$130.5B
Market Share
AI Accelerator (Data Center GPU)
80%
share
NVIDIA
80%
AMD
12%
Intel
4%
Google TPU
2%
Others
2%
$500B
TAM
$280B
SAM
$130.5B
SOM
Revenue Streams
Data Center88%
Gaming8%
Professional Visualization2%
Automotive & Other2%
Business Units
Data Center (Compute & Networking)88%
NVIDIA's dominant business segment supplying H100, H200, and Blackwell GPUs plus InfiniBand networking to AWS, Azure, Google Cloud, Meta, and thousands of AI startups.
Gaming8%
GeForce RTX consumer GPU segment serving the global PC gaming market with discrete graphics cards and integrated laptop GPUs.
Professional Visualization & Automotive4%
RTX workstation GPUs, Omniverse simulation platform, and NVIDIA DRIVE automotive AI SoCs for autonomous vehicle development.

Nvidia Internal Tools & Processes

Internal Tools
13 departments
GPU Architecture & Hardware Engineering4200 people · 3 roles
Standards & Certifications
10 standards
Compliance frameworks, security audits, and quality certifications this company maintains.
Security
ISO 27001
Certified
NVIDIA maintains ISO 27001 certification for its cloud services and corporate IT systems, providing enterprise customers deploying NVIDIA AI software and NIM microservices with a verified information security management framework.
Security
SOC 2 Type II
Certified
NVIDIA's cloud-based AI services including NVIDIA AI Enterprise and NGC (NVIDIA GPU Cloud) catalog hold SOC 2 Type II certification, assuring enterprises that NVIDIA's software supply chain for AI model distribution meets rigorous security and availability controls.
Quality
ISO 9001
Certified
NVIDIA's semiconductor design and manufacturing processes comply with ISO 9001 quality management standards, ensuring consistent chip design quality across its H100, Blackwell, and GeForce product lines manufactured through TSMC.
Environmental
ISO 14001
Certified
NVIDIA holds ISO 14001 environmental management certification, supporting its commitment to reducing the environmental footprint of GPU manufacturing and data center energy consumption as AI workloads drive global power demand.
Regulatory
FedRAMP High
In Progress
NVIDIA is pursuing FedRAMP High authorization for its AI software platform to enable U.S. federal agencies and defense contractors to use NVIDIA NIM and AI Enterprise on classified and sensitive government AI workloads.
Privacy
GDPR
Compliant
NVIDIA complies with GDPR across its enterprise software products, developer platforms, and AI services, providing data processing agreements and privacy controls for European customers using NVIDIA AI Enterprise and NGC cloud services.
Regulatory
Export Administration Regulations (EAR)
Compliant
NVIDIA complies with U.S. Export Administration Regulations governing the export of advanced AI chips including H100 and A100 GPUs, implementing export control programs to ensure compliance with U.S. Commerce Department restrictions on shipments to restricted countries.
Safety
CE Marking
Certified
NVIDIA's GPU hardware products sold in Europe carry CE marking certifying compliance with EU electromagnetic compatibility, low voltage, and RoHS directives applicable to electronic computing equipment.
Safety
UL Certification
Certified
NVIDIA's DGX systems and data center GPU hardware carry UL safety certification, required for deployment in enterprise data center environments and ensuring electrical safety standards for high-power AI accelerator racks.
Accessibility
WCAG 2.1 AA
Compliant
NVIDIA's developer platform, documentation portal, and NVIDIA.com digital properties comply with WCAG 2.1 AA accessibility standards, ensuring GPU developer tools and AI software resources are accessible to developers with disabilities.

Nvidia Interview Preparation

Interview Prep
Role-specific interview questions and keywords. Select a department, then click any role to prepare.
GPU Architecture & Hardware Engineering· 3 roles

Nvidia Products & Competitors

Product Suite
6 products · select one to explore
Hardware
AI
NVIDIA NIM
Deploy optimized AI models with a single API call.

NVIDIA NIM (NVIDIA Inference Microservices) are containerized AI inference microservices that allow enterprises to deploy optimized, production-grade AI models including LLMs, vision models, and speech models on NVIDIA GPU infrastructure with minimal configuration. NIM packages TensorRT-LLM optimizations and provides an OpenAI-compatible API for seamless integration into existing AI applications.

Use Cases
Deploying a HIPAA-compliant medical LLM on-premises using NVIDIA NIM containers on DGX infrastructure for a hospital systemIntegrating NIM's OpenAI-compatible API to serve a fine-tuned Llama 3 model into a customer support chatbot pipelineBenchmarking TensorRT-LLM throughput for token generation latency SLAs on A100 GPUs using NVIDIA NIM profiling tools
No image
Key Customers
NOW
ServiceNow
SAP
SAP
DLT
Deloitte
Competitive Intelligence
VSAWS SageMaker Endpoints
THEM

Amazon SageMaker Endpoints are fully managed, scalable inference APIs from AWS for deploying trained machine learning models to production with request routing, auto-scaling, and built-in monitoring.

EDGE

NVIDIA NIM's TensorRT-LLM optimization provides lower inference latency than SageMaker's generic serving containers

VSHugging Face Inference Endpoints
THEM

Hugging Face Inference Endpoints are dedicated, production-ready API endpoints for deploying open-source machine learning models from the Hugging Face Hub on managed cloud infrastructure without requiring MLOps expertise.

EDGE

NIM delivers enterprise SLAs and on-premises GPU deployment options absent from Hugging Face's cloud-only serving

VSvLLM
THEM

vLLM is an open-source high-throughput LLM inference and serving engine that uses PagedAttention for efficient GPU memory management, enabling fast and cost-effective serving of large language models.

EDGE

NIM includes NVIDIA-certified GPU optimizations and enterprise support beyond vLLM's open-source community model

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