In the second quarter of Nvidia's 2026 fiscal year, revenue from data centers amounted to 41.1 billion U.S. dollars. This is a dramatic increase from the 26.3 billion U.S. dollars the company generated in this segment in the same quarter of the previous fiscal year. Nvidia’s technologies are being deployed for accelerated computing and generative AI applications, notably ChatGPT. Nvidia’s move beyond gaming and into AI Nvidia’s solutions are being used to train and run various large language models, most notably the one developed by OpenAI. ChatGPT – which generates human-like responses to user queries within seconds – was trained using tens of thousands of Nvidia graphics processing units (GPUs), linked together in an AI supercomputer belonging to Microsoft. Nvidia’s competitors in the AI space include cloud providers Nvidia’s earnings have helped to strengthen the company’s position in the exclusive tech three trillion club, a ranking of companies based on market capitalization, putting Nvidia up alongside the likes of Apple and Microsoft. While fellow chipmakers AMD and Intel may seem the natural competitors to Nvidia’s AI crown, the major hyperscalers also pose a substantial threat to Nvidia going forward.

Data Description

We release the training dataset of ChatQA. It is built and derived from existing datasets: DROP, NarrativeQA, NewsQA, Quoref, ROPES, SQuAD1.1, SQuAD2.0, TAT-QA, a SFT dataset, as well as a our synthetic conversational QA dataset by GPT-3.5-turbo-0613. The SFT dataset is built and derived from: Soda, ELI5, FLAN, the FLAN collection, Self-Instruct, Unnatural Instructions, OpenAssistant, and Dolly. For more information about ChatQA, check the website!

  Other… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/ChatQA-Training-Data.

In its 2025 fiscal year, Nvidia's revenue in the United States amounted to ***** billion U.S. dollars, a substantial jump from the ***** billion U.S. dollars seen in the previous fiscal year. Revenue in Taiwan amounted to ***** million U.S. dollars in the 2025 fiscal year, while China related revenue reached ***** billion U.S. dollars. Nvidia’s business overview Nvidia is a U.S. technology firm specializing in the design of graphics processing units (GPUs) for the gaming and professional markets, as well as system-on-chip units (SoCs). Headquartered in Santa Clara, California, the company was founded in 1993 by Jensen Huang who, following on from time spent as a microprocessor designer at Advanced Micro Devices (AMD), has been Nvidia’s president and CEO from the outset. Nvidia’s specialized markets In Nvidia’s 2025 fiscal year, the fourth quarter saw data center revenues climb to **** billion U.S. dollars, a surge that has seen it become the darling of stocks and a global leader in artificial intelligence (AI). Nvidia’s technologies and solutions are being deployed for accelerated computing and generative AI applications.

This dataset provides historical daily stock prices for NVIDIA Corporation (NVDA), a leading technology company specializing in graphics processing units (GPUs) and artificial intelligence. The data includes key metrics for each trading day, allowing for analysis of price movements, trading volume, and market trends over time.

Cosmos-Transfer1-7B-Sample-AV-Data-Example

Cosmos | Code | Paper | Paper Website

  Dataset Description:

This dataset contains 10 sample data points intended to help users better utilize our Cosmos-Transfer1-7B-Sample-AV model. It includes HD Map annotations and LiDAR data, with no personally identifiable information such as faces or license plates. This dataset is intended for research and development only.

  Dataset Owner(s):

NVIDIA

  Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Cosmos-Transfer1-7B-Sample-AV-Data-Example.

NVIDIA Corporation provides graphics, and compute and networking solutions in the United States, Taiwan, China, and internationally. The company's Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building 3D designs and virtual worlds. Its Compute & Networking segment provides Data Center platforms and systems for AI, HPC, and accelerated computing; Mellanox networking and interconnect solutions; automotive AI Cockpit, autonomous driving development agreements, and autonomous vehicle solutions; cryptocurrency mining processors; Jetson for robotics and other embedded platforms; and NVIDIA AI Enterprise and other software. The company's products are used in gaming, professional visualization, datacenter, and automotive markets. NVIDIA Corporation sells its products to original equipment manufacturers, original device manufacturers, system builders, add-in board manufacturers, retailers/distributors, independent software vendors, Internet and cloud service providers, automotive manufacturers and tier-1 automotive suppliers, mapping companies, start-ups, and other ecosystem participants. It has a strategic collaboration with Kroger Co. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

Data Description

Here, we release the full long SFT training dataset of ChatQA2. It consists of two parts: long_sft and NarrativeQA_131072. The long_sft dataset is built and derived from existing datasets: LongAlpaca12k, GPT-4 samples from Open Orca, and Long Data Collections. The NarrativeQA_131072 dataset is synthetically generated from NarrativeQA by adding related paragraphs to the given ground truth summary. For the first two steps training of ChatQA-2, we follow ChatQA1.5. For… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/ChatQA2-Long-SFT-data.

As of February 2023, cloud gaming subscription service GeForce NOW reported more than ** million users, up from ** million in September 2021.

website | paper

  AceMath RM Training Data Card

We release the AceMath RM Training data that is used to train the AceMath-7/72B-RM for math outcome reward modeling. Below is the data statistics:

number of unique math questions: 356,058 number of examples: 2,136,348 (each questions have 6 different responses)

  Benchmark Results (AceMath-Instruct + AceMath-72B-RM)

We compare AceMath to leading proprietary and open-access math models in above Table. Our… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/AceMath-RM-Training-Data.

Nemotron-Post-Training-Dataset-v1 Release

This dataset is a compilation of SFT data that supports improvements of math, code, stem, general reasoning, and tool calling capabilities of the original Llama instruct model Llama-3.3-Nemotron-Super-49B-v1.5. Llama-3.3-Nemotron-Super-49B-v1.5 is an LLM which is a derivative of Meta Llama-3.3-70B-Instruct (AKA the reference model). Llama-3.3-Nemotron-Super-49B-v1.5 offers a great tradeoff between model accuracy and efficiency. Efficiency… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/Nemotron-Post-Training-Dataset-v1.

website | paper

  AceMath-Instruct Training Data Card

We release all the datasets to train AceMath-1.5B/7B/72B-Instruct models. These models are built upon the Qwen2.5-Math-Base models through a multi-stage supervised fine-tuning (SFT) process. The fine-tuning begins with general-purpose SFT data (general_sft_stage1.parquet and general_sft_stage2.parquet) and is followed by math-specific SFT data (math_sft.parquet). In our experiments, fine-tuning the Qwen2.5-Math-Base models using… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/AceMath-Instruct-Training-Data.

View quarterly updates and historical trends for NVIDIA Corp (NVDA) - Data Center Revenue. from United States. Source: Fiscal.ai. Track economic data with…

Dataset

This dataset was created by Ashfaque Yoosuff

Released under ODC Public Domain Dedication and Licence (PDDL)

Contents

The Nvidia Market Customer Segmentation dataset provides a comprehensive analysis of sales and market dynamics for Nvidia's product offerings across various global regions from 1993 to 2024. This synthetic dataset includes over 39,000 entries, capturing key variables such as product categories (Gaming, AI, Data Center, OEM), specific product names (e.g., RTX 3080, Tesla V100), customer segments (Gamers, AI Researchers, Cloud Providers, Educational Institutions), and regions (North America, Europe, APAC, and more). It details customer purchasing behavior, including revenue data, units sold, marketing expenditures, customer satisfaction scores, and customer retention rates.

AceReason-Math Dataset

  Overview

AceReason-Math is a high quality, verfiable, challenging and diverse math dataset for training math reasoning model using reinforcement leraning. This dataset contains

49K math problems and answer sourced from NuminaMath and DeepScaler-Preview applying filtering rules to exclude unsuitable data (e.g., multiple sub-questions, multiple-choice, true/false, long and complex answers, proof, figure) this dataset was used to train… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/AceReason-Math.

Traffic analytics, rankings, and competitive metrics for nvidia.com as of August 2025

Nvidia reported $46.74B in Sales Revenues for its fiscal quarter ending in June of 2025. Data for Nvidia | NVDA - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last September in 2025.

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Pretax-Margin Time Series for NVIDIA Corporation. NVIDIA Corporation, a computing infrastructure company, provides graphics and compute and networking solutions in the United States, Singapore, Taiwan, China, Hong Kong, and internationally. The Compute & Networking segment includes its Data Centre accelerated computing platforms and artificial intelligence solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms; and DGX Cloud computing services. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating industrial AI and digital twin applications. It also customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

Total-Current-Liabilities Time Series for NVIDIA Corporation. NVIDIA Corporation, a computing infrastructure company, provides graphics and compute and networking solutions in the United States, Singapore, Taiwan, China, Hong Kong, and internationally. The Compute & Networking segment includes its Data Centre accelerated computing platforms and artificial intelligence solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms; and DGX Cloud computing services. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating industrial AI and digital twin applications. It also customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.