• Record revenue of $81.6 billion, up 85% from a year ago
• Record Data Center revenue of $75.2 billion, up 92% from a year ago
• Nvidia announces $80.0 billion additional share repurchase authorization and increases its quarterly cash dividend from $0.01 per share to $0.25 per share

Nvidia Corp. reported record revenue for the first quarter ended April 26, 2026, of $81.6 billion, up 20% from the previous quarter and up 85% from a year ago.For the quarter, GAAP and non-GAAP gross margins were 74.9% and 75.0%, respectively.

For the quarter, GAAP and non-GAAP earnings per diluted share were $2.39 and $1.87, respectively.

“The buildout of AI factories — the largest infrastructure expansion in human history — is accelerating at extraordinary speed,” said Jensen Huang, founder and CEO, Nvidia. “Agentic AI has arrived, doing productive work, generating real value and scaling rapidly across companies and industries. Nvidia is uniquely positioned at the center of this transformation as the only platform that runs in every cloud, powers every frontier and open source model, and scales everywhere AI is produced — from hyperscale data centers to the edge.”

During the first quarter of fiscal 2027, Nvidia returned a record level of approximately $20.0 billion to shareholders in the form of shares repurchased and cash dividends. As of the end of the first quarter, the company had $38.5 billion remaining under its share repurchase authorization. On May 18, 2026, the Board of Directors approved an additional $80.0 billion to the company’s share repurchase authorization, without expiration. Nvidia is increasing its quarterly cash dividend from $0.01 per share to $0.25 per share of common stock, which will be paid on June 26, 2026, to all shareholders of record on June 4, 2026.

Nvidia is transitioning to a new reporting framework that better reflects its current and future growth drivers. Nvidia will have two market platforms — Data Center and Edge Computing. Within Data Center, Nvidia will report two sub-markets, Hyperscale and ACIE, which incorporates AI Clouds, Industrial and Enterprise. Hyperscale will include revenue from the public clouds and the world’s largest consumer internet companies, while ACIE addresses Nvidia’s growth opportunity in diverse AI purpose-built data centers and AI factories across industries and countries. Edge Computing highlights data processing devices for agentic and physical AI including PCs, game consoles, workstations, AI-RAN base stations, robotics and automotive.

Under the previous sub-markets, Data Center compute revenue was a record $60.4 billion, up 77% from a year ago and up 18% sequentially. Data Center networking revenue was a record $14.8 billion, up 199% from a year ago and up 35% sequentially.

Q1 Fiscal 2027 Summary

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Click to enlarge

Outlook
Nvidia’s outlook for the second quarter of fiscal 2027 is as follows:

• Revenue is expected to be $91.0 billion, plus or minus 2%. Nvidia is not assuming any Data Center compute revenue from China in its outlook
• GAAP and non-GAAP gross margins are expected to be 74.9% and 75.0%, respectively, plus or minus 50 basis points
• GAAP and non-GAAP operating expenses are expected to be approximately $8.5 billion and $8.3 billion, respectively

For the full year fiscal 2027, Nvidia expects GAAP and non-GAAP tax rates to be between 16.0% and 18.0%, excluding any discrete items and material changes to Nvidia’s tax environment.

Highlights

Data Center

• First-quarter revenue was a record $75.2 billion, up 21% from the previous quarter and up 92% from a year ago
• Announced the Nvidia Vera Rubin platform, including the Nvidia Vera CPU, the world’s first processor purpose-built for agentic AI, and Nvidia BlueField-4 STX, accelerated storage infrastructure for agentic AI factories
• Entered production with Nvidia Dynamo 1.0, open source software that boosts generative and agentic inference on Nvidia Blackwell GPUs by up to 7x, with widespread global adoption
• Announced Nvidia NemoClaw for the OpenClaw agent platform, Nvidia OpenShell with privacy and security controls for autonomous AI agents, and NVIDIA Agent Toolkit, an open source platform for building autonomous enterprise AI agents
• Advanced open AI model development with new Nvidia Nemotron, Nvidia BioNeMo and Nvidia Ising models, and the launch of the Nvidia Nemotron Coalition
• Expanded collaboration with Google Cloud to advance agentic and physical AI, including new Nvidia Vera Rubin-powered A5X instances and a preview of Google Gemini models on Google Distributed Cloud running on Nvidia Blackwell and Blackwell Ultra GPUs
• Expanded the AI ecosystem through a strategic partnership with Marvell via Nvidia NVLink Fusion, and collaboration on silicon photonics technology
• Announced multi-year strategic agreements with Coherent, Corning and Lumentum to accelerate innovation in advanced optics technologies
• Announced the Nvidia RTX PRO 4500 Blackwell Server Edition GPU

Edge Computing

• First-quarter Edge Computing revenue was $6.4 billion, up 10% from the previous quarter and up 29% from a year ago
• Released Nvidia DLSS 4.5 Dynamic Multi Frame Generation and previewed the next generation of DLSS 3D-guided neural rendering model, DLSS 5, Nvidia’s most significant graphics breakthrough since ray tracing in 2018
• Accelerated and optimized key local agentic models, including Gemma 4, Qwen, Mistral and Nvidia Nemotron for Nvidia RTX and edge devices
• Announced the Nvidia Alpamayo 1.5 open model and Nvidia Omniverse NuRec technologies that enable autonomous driving systems at scale
• Expanded partnership with Hyundai Motor Company and Kia for next-generation autonomous driving built on the Nvidia DRIVE Hyperion platform, and expanded partnership with Uber to launch a fleet of autonomous vehicles powered by full-stack Nvidia DRIVE AV software
• Announced that BYD, Geely, Isuzu and Nissan are building level 4-ready vehicles on the Nvidia DRIVE Hyperion platform, and introduced Nvidia Halos OS, a unified safety architecture for AI-driven vehicles
• Announced new Nvidia Cosmos and Nvidia Isaac GR00T N models, new Isaac simulation frameworks, the general availability of Nvidia IGX Thor and physical AI leaders building on Nvidia technology
• Partnered with global industrial software leaders to accelerate AI-driven design, engineering and manufacturing using Nvidia CUDA-X, Nvidia Omniverse and accelerated computing
• Announced collaboration with T-Mobile and Nokia to integrate physical AI applications on AI-RAN-ready infrastructure, as well as a commitment with global telecom leaders to build 6G wireless networks on AI-native, open and secure platforms