Nvidia Reports Record Q1 Revenue, Data Center Hits $75.2B

NVIDIA reported record revenue for the first quarter ended April 26, 2026, of $81.6 billion, an 85% year-over-year increase (NVIDIA press release). Data Center revenue reached $75.2 billion for the quarter (NVIDIA press release). GAAP gross margin was 74.9%, with GAAP diluted EPS of $2.39 and non-GAAP diluted EPS of $1.87 (NVIDIA press release). The company returned approximately $20.0 billion to shareholders during the quarter and the Board approved an additional $80.0 billion to the share repurchase authorization; the quarterly dividend was increased from $0.01 to $0.25 per share (NVIDIA press release). NVIDIA provided Q2 revenue guidance of roughly $91.0 billion, plus or minus 2% (NVIDIA earnings release).

The company said it is moving to a two-platform reporting framework, with Data Center split into Hyperscale and ACIE sub-markets and a separate Edge Computing segment; this change is documented in NVIDIA's investor presentation (NVIDIA investor presentation, NVIDIA press release). Under the previous segmentation, Data Center compute revenue was disclosed as $60.4 billion in the quarter, highlighting the scope of compute-led demand (NVIDIA investor presentation). Seeking Alpha and other coverage note the current Data Center mix is approaching an approximate 50/50 split between Hyperscalers and ACIE, reflecting broader demand beyond a handful of customers (Seeking Alpha).

Reported results reinforce the continued rapid expansion of AI infrastructure demand, where large-scale model training and inference drive outsized procurement of accelerators and networking. Companies scaling comparable workloads often create multi-quarter procurement cycles, tighten supply for high-end GPUs, and sustain premium pricing for next-generation accelerators. Elevated margins alongside strong free cash flow and large shareholder returns typically draw heightened investor focus on capital allocation and supply chain capacity across cloud providers, OEMs, and system integrators.

For practitioners: Track availability and lead times for high-end accelerators, pricing trends for data-center-class GPUs, and changes in vendor reporting (for example, the new Hyperscale vs ACIE split) as signals of where capacity is being consumed. Open-source and commercial model developers should monitor guidance execution and margin trends to gauge how quickly new architectures like Blackwell and platform components named in the investor materials move from limited supply to broadly available.

quarterly follow-through on the $91.0 billion guide and whether the Data Center split holds, reported utilization or backlog metrics from cloud providers, signs of chip or networking bottlenecks in vendor supply chains, adoption signals for the architectures and software stacks referenced in NVIDIA's materials, and market reactions to the enlarged buyback and elevated dividend, which reshape capital return expectations (NVIDIA press release; NVIDIA investor presentation).