| Non-GAAP | |||||
|
($ in millions, except
earnings per share) | Q2 FY21 | Q1 FY21 | Q2 FY20 | Q/Q | Y/Y |
| Revenue | $3,866 | $3,080 | $2,579 | Up 26% | Up 50% |
| Gross margin | 66.0% | 65.8% | 60.1% | Up 20 bps | Up 590 bps |
| Operating expenses | $1,035 | $821 | $749 | Up 26% | Up 38% |
| Operating income | $1,516 | $1,205 | $802 | Up 26% | Up 89% |
| Net income | $1,366 | $1,120 | $762 | Up 22% | Up 79% |
| Diluted earnings per share | $2.18 | $1.80 | $1.24 | Up 21% | Up 76% |
NVIDIA’s outlook for the third quarter of fiscal 2021 is as follows:
- Revenue is expected to be $4.40 billion, plus or minus 2 percent.
- GAAP and non-GAAP gross margins are expected to be 62.5 percent and 65.5 percent, respectively, plus or minus 50 basis points.
- GAAP and non-GAAP operating expenses are expected to be approximately $1.54 billion and $1.09 billion, respectively.
- GAAP and non-GAAP other income and expense are both expected to be an expense of approximately $55 million.
- GAAP and non-GAAP tax rates are both expected to be 8 percent, plus or minus 1 percent, excluding any discrete items. GAAP discrete items include excess tax benefits or deficiencies related to stock-based compensation, which are expected to generate variability on a quarter by quarter basis.
Highlights
Since its previous earnings report, NVIDIA has achieved progress in these areas:
Data Center
- Second-quarter revenue, which included Mellanox, was $1.75 billion, up 54 percent from the previous quarter and up 167 percent from a year earlier.
- Announced, together with the world’s leading server makers, more than 50 NVIDIA® A100-powered systems to tackle the most complex challenges in AI, data science and scientific computing.
- Powered eight of the top 10 , and two-thirds of the total systems, on the latest TOP500 list of the world’s fastest supercomputers. This includes NVIDIA Selene, an NVIDIA DGX SuperPOD™ system , which ranked No. 7 on the list and was No. 2 on the Green500 list.
- Set 16 AI performance records on the latest MLPerf benchmarks, eight on a per-chip basis based on the A100 Tensor Core GPU and eight “at scale” using the DGX A100 SuperPOD system.
- Made the NVIDIA A100 Tensor Core GPU available on Google Cloud just over a month after its introduction.
- Provided CUDA GPU-acceleration for Apache Spark , the world’s most popular data analytics application, through the general availability release of Spark 3.0.
- Unveiled the NVIDIA Mellanox® UFM Cyber-AI Platform , which minimizes downtime in supercomputing data centers by detecting security threats and operational issues and predicting network failures.
