Thanks, Stewart. Q4 was another record quarter.
Revenue of $39.3 billion was up 12% sequentially and up 78% year on year. And above our outlook, of $37.5 billion. For fiscal 2025, revenue was $130.5 billion. Up 114% in the prior year.
Let's start with data center. Data center revenue for fiscal 2025 was $115.2 billion. More than doubling from the prior year. In the fourth quarter, it is in a revenue of $35.6 billion was a record, up 16% sequentially and 93% year on year.
As the Blackwell ramp commenced, and Hopper 200 continued to contribute growth, In Q4, Blackwell sales exceeded our expectations. We delivered $11 billion of Blackwell revenue to meet strong demand. This is the fastest product ramp in our company's history. Unprecedented in its speed and scale. Blackwell production is in full gear across multiple configurations, and we are increasing supply quickly. Expanding customer adoption. Our Q4 data center compute revenue jumped 18% sequentially and over 2x year on year. Customers are racing to scale infrastructure to train the next generation of cutting-edge models and unlock the next level of AI capabilities. With Blackwell, it will be common for these clusters to start with 100,000 GPUs or more. Shipments have already started for multiple infrastructures of this size. Post-training and model customization are fueling demand for NVIDIA Corporation infrastructure and software as developers and enterprises leverage techniques such as fine-tuning, reinforcement learning, and distillation to tailor models for domain-specific use cases. Hugging Face alone hosts over 90,000 derivatives traded from the Llama Foundation model. The scale of post-training and model customization is massive and can collectively demand orders of magnitude more compute than pretraining. Our inference demand is accelerating.
Driven by test time scaling and new reasoning models. Like OpenAI's O3, DeepSeq R1, and Grok 3. Long-thinking reasoning AI can require 100x more compute per task compared to one-shot inferences. Blackwell was architected for reasoning AI inference. Blackwell supercharges reasoning AI models with up to 25x higher token throughput and 20x lower cost versus Hopper 100. It is revolutionary. Transformer engine is built for LLM. And mixer of experts inference.
And its NVLink domain delivers 14x the throughput of PCIe Gen 5. Ensuring the response time, throughput, and cost efficiency needed to tackle the growing complexity of inferences scale. Companies across industries are tapping into NVIDIA Corporation's full-stack inference platform to boost performance and slash cost. Now tripled inference throughput and cut cost by 66% using NVIDIA Corporation TensorRT for its screenshot feature. Perplexity sees 435 million monthly queries and reduced its inference costs 3x with NVIDIA Corporation Triton inference server and TensorRT LLM. Microsoft Bing achieved a 5x speedup at major TCO savings for visual search across billions of images with NVIDIA Corporation, TensorRT, and acceleration libraries. Blackwell has great demand for inference. Many of the early GV200 deployments are earmarked for inference. A first for a new architecture. Blackwell addresses the entire AI market from pretraining, post-training, to inference across clouds, to on-premise, to enterprise. Its programmable architecture accelerates every AI model and over 4,400 applications ensuring large infrastructure investments against obsolescence in rapidly evolving markets. Our performance and pace of innovation are unmatched. We're driven to a 200% reduction in inference cost in just the last two years. We delivered the lowest TCO and the highest ROI. And full-stack optimizations for NVIDIA Corporation and our large ecosystem including 5.9 million developers continuously improve our customers' economics. In Q4, large CSPs represented about half of our data center revenue. And these sales increased nearly 2x year on year. Large CSPs were some of the first to stand up Blackwell, with Azure, GCP, AWS, and OCI, bringing GV200 systems to cloud regions around the world to meet surging customer demand for AI. Regional cloud hosting NVIDIA Corporation GPUs increased as a percentage of data center revenue. Reflecting continued AI factory build-outs globally and rapidly rising demand for AI reasoning models and agents. Coreweave launched a 100,000 GV200 cluster-based instance with NVLink switch and Quantum-2 InfiniBand. Consumer Internet revenue grew 3x year on year. Driven by an expanding set of generative AI and deep learning use cases. These include recommender systems, vision language understanding, synthetic data generation search, and agentic AI. For example, XAI is adopting the GV200 to train and inference its next generation of Grok AI models. Meta's cutting-edge Andromeda, advertising engine runs on NVIDIA Corporation's Grace Hopper Superchip. Serving vast quantities of ads across Instagram, Facebook applications. Andromeda harnesses Grace Hopper's fast interconnect and large memory to boost inference, throughput by 3x. Enhanced ad personalization, and deliver meaningful jumps in monetization and ROI. Enterprise revenue increased nearly 2x year on accelerating demand model fine-tuning. Agentic AI workflows. And GPU-accelerated data processing. We introduced NVIDIA Corporation Llama Numitron model family nodes to help developers create and deploy AI agents across a range of applications, including customer support, fraud detection, and product supply chain and inventory management. Leading AI agent platform providers, including SAP and ServiceNow, are among the first to use new models. Health care leaders, IQVIA, and Lumenon. And Mayo Clinic as well as ARC and Institute are using NVIDIA Corporation AI to speed drug discovery enhance genomic research, and pioneer advanced health care services with generative and agentic AI. As AI expands beyond the digital world, NVIDIA Corporation infrastructure and software platforms are increasingly being adopted to power robotics and physical AI development. One of the early and largest robotics applications and autonomous vehicles were virtually every AV company is developing on NVIDIA Corporation, in the data center. NVIDIA Corporation's automotive vertical revenue is expected to grow to approximately $5 billion this fiscal year. At CES, Hyundai Motor Group announced it is adopting NVIDIA Corporation Technologies to accelerate AV and robotics development and smart factory initiatives. Vision transformers, self-supervised learning, multimodal sensor fusion, and high-fidelity simulation are driving breakthroughs in AV development and will require 10x more compute. At TDX, we announced the NVIDIA Corporation Cosmos World foundation model platform.
Just as language foundation models have revolutionized language AI, Cosmos is a physical AI to revolutionize robotics. The robotics and automotive companies, including ride-sharing giant Uber, are among the first to adopt the platform. From a geographic perspective, sequential growth in our data center revenue was strongest in the US, driven by the initial ramp of Blackwell. Countries across the globe are building their AI ecosystems and demand for compute infrastructure is surging. France's €200 billion AI investment and the EU's €200 billion Invest AI initiative offer a glimpse into the build-out that will redefine global AI infrastructure in the coming years. Now as a percentage of total data center revenue, data center sales in China remained well below levels seen onset of export controls. China shipments absent any change in regulations, we believe that will remain roughly at the current percentage. The market in China for data center solutions remained very competitive. We will continue to comply with export controls while serving our customers.
Networking revenue declined 3% sequentially. Our networking attached to GPU compute systems is robust at over 75%. We are transitioning from small NVLink 8 with InfiniBand to large NVLink 72. The Spectrum X. Spectrum X and NVLink switch revenue increased and represents a major new growth sector. We expect networking a return to growth in Q1. AI requires a new class of networking. NVIDIA Corporation offers NVLink switch systems for scale of compute.
For scale out, we offer Quantum InfiniBand for HPC supercomputers, and SpectrumX for Ethernet environments. Spectrum X enhances the Ethernet for AI computing and has been a huge success. Microsoft Azure OCI, Fortease, and others are building large AI factories with SpectrumX. The first Stargate data centers will use Spectrum X. Yesterday, Cisco announced integrating Spectrum X into their networking portfolio to help enterprises build AI infrastructure. With its large enterprise footprint and global reach, Cisco will bring NVIDIA Corporation Ethernet to every industry.
Now moving to gaming and AR PCs. Gaming revenue of $2.5 billion decreased 22% sequentially and 11% year on year. Full year revenue of $11.4 billion increased 9% year on year.
And demand remains strong throughout the holiday. However, Q4 shipments were impacted by supply constraints. We expect strong sequential growth in Q1 as supply increases. The new GeForce RTX 50 series desktop and laptop GPUs are here. Built for gamers, creators, and developers, they fuse AI and graphics, redefining visual computing. Powered by the Blackwell architecture, fifth-generation tensor cores, and fourth-generation RT cores and featuring up to 3,400 AI TOPS. These GPUs deliver a 2x performance leap and new AI-driven rendering, including neural shaders, digital human technologies, geometry, and lighting. The new DLSS 4 boosts frame rates up to 8x with AI-driven frame generation turning one rendered frame into three. It also features the industry's first real-time application of transformer models packing 2x more parameters and 4x to compute unprecedented visual fidelity. We also announced a wave of GeForce Blackwell laptop GPUs with new NVIDIA Corporation Max-Q technology that extends battery life, by up to an incredible 40%. These laptops will be available starting in March from the world's top manufacturers. Moving to our professional visualization business.
Revenue of $511 million was up 5% sequentially and 10% year on year. Full year revenue of $1.9 billion increased 21% year on year.
Key industry verticals driving demand include automotive and health care. NVIDIA Corporation Technologies and generative AI are reshaping design engineering, and simulation workloads. Increasingly, these technologies are being leveraged in leading software platforms. From ANSYS, Cadence, and Siemens fueling demand for NVIDIA Corporation RTX workstations. Now moving to automotive.
Revenue was a record $570 million, up 27% sequentially and up 103% year on year. Full year revenue of $1.7 billion increased 55% year on year.
Strong growth was driven by the continued ramp in autonomous vehicles, including cars and robotaxis. At CES, we announced Toyota the world's largest automaker will build its next generation vehicles on NVIDIA Corporation Oren, running the safety-certified NVIDIA Corporation Drive OS. We announced Aurora and Continental. Will deploy driverless trucks at scale powered by NVIDIA Corporation Drive 4. Finally, our end-to-end autonomous vehicle platform, NVIDIA Corporation DRIVE Hyperion, has passed industry safety assessments by Ryland, two of the industry's foremost authorities, automotive-grade safety and cybersecurity, NVIDIA Corporation is the first AV platform to receive a comprehensive set of third-party assessments.
Moving to the rest of the P&L. GAAP gross margins, was 73%. And non-GAAP gross margins were 73.5%. Down sequentially as expected with our first deliveries of the Blackwell architecture.
As discussed last quarter, Blackwell is a customizable AI infrastructure with several different types of NVIDIA Corporation build chips. Multiple networking options, and for air and liquid-cooled data center. We exceeded our expectations in Q4, in ramping Blackwell, increasing system availability, providing several configurations to our customers. As Blackwell ramps, we expect gross margins to be in the low seventies. We initially, we are focused on expediting the manufacture as they race to build out Blackwell infrastructure. When fully ramped, we have many opportunities to improve the cost and gross margin. Will improve and return to the mid-seventies. Late this fiscal year. Sequentially, GAAP operating expenses were up 9% and non-GAAP operating expenses were 11%, reflecting higher engineering development costs and higher compute and infrastructure costs for new product introductions. In Q4, we returned $8.1 billion to shareholders, the form of share repurchases cash dividends.
Let me turn to the outlook in the first quarter. Total revenue is expected to be $43 billion. Plus or minus 2%.
Continuing with its strong demand, we expect a significant ramp of Blackwell in Q1. We expect sequential growth. In both data center and gaming. Within data center, we expect sequential growth from both. Compute and networking.
GAAP and non-GAAP gross margins are expected to be 70.6%. And 71% respectively. Plus or minus 50 basis points. GAAP and non-GAAP operating expenses are expected to be approximately $5.2 billion and $3.6 billion. We expect full year fiscal year 2026 operating expenses grow to grow to be in the mid-thirties. GAAP and non-GAAP other incoming expenses are expected to be an income of approximately $400 million. Excluding gains and losses, from non-marketable and publicly held equity securities. GAAP and non-GAAP tax rates are expected to be 17% plus or minus 1% excluding any discrete items.
Further financial details are included in the CFO commentary and other information available on our IR website. Including a new financial information AI agent. In closing, let me highlight upcoming events for the financial community.
We will be at the TD Cowen Healthcare Conference in Boston on March 3rd. And at the Morgan Stanley Technology, Media, and Telecom Conference in San Francisco. On March 5th. Please join us for our annual GTC conference starting Monday, March 17th, in San Jose, California. Jensen will deliver a news-packed keynote on March 18th, and we will host a Q&A session for our financial analysts. Next day, March 19th. We look forward to seeing you at these events. Our earnings call to discuss the results for our first quarter of fiscal 2026 is scheduled for May 28th, 2025. We are going to open up the call, operator. To questions. If you could start that, that would be great.