CLAIM #46695 · NVIDIA Corporation (NVDA) · 2023Q1 earnings call · May 25, 2022 · due Dec 31, 2022
“As we discussed about it, most of the ramp that we have of our new architectures, we're going to see in the back half of the year. We're going to start to see, for example, Hopper will probably be here in Q3, but starting to ramp closer to the end of the calendar year.”
Colette Kress · CFO
In context
“and contribute greatly to our earnings. Operator: Next, we'll go to Vivek Arya with BofA Securities. Your line is open. Vivek Arya: Thanks. Just wanted to clarify, Colette, if your Q2 outlook includes any destocking benefits from the new products that you're planning to launch this year? And then my question is gentleman for you. You're still guiding Data Center to a very strong, I think, close to 70% or so year-on-year growth, despite all the headwinds. Are you worried at all about all the headlines about the slowdown in the macro economy? I like is there any cyclical impact on Data Center growth that we should keep in mind as we think about the second half of the year? Colette Kress: Yes. Vivek, let me first answer the question that you asked regarding any new products as we look at Q2. As we discussed about it, most of the ramp that we have of our new architectures, we're going to see in the back half of the year. We're going to start to see, for example, Hopper will probably be here in Q3, but starting to ramp closer to the end of the calendar year. So, you should think about most of our product launches to be ramping in the second half of the year on that part. I'll turn it over for Jensen Huang for the rest. Jensen Huang: Thanks. Our Data Center demand is strong and remains strong. Hyperscale and cloud computing revenues, as you mentioned, has grown significantly. It's doubled year-over-year. and we're seeing really strong adoption of A100. A100 is really quite special and unique in the world of accelerators. And this is one of the really, really great innovations as we extended our GPU from graphics to CUDA to Tensor Core GPUs. It's now a universal accelerator. And so you could use it for data processing for ETL, for example, extract, transform and load. You could use it for database acceleration. Many sequel functions are acceler”
Verify independently
SEC filings for NVDA ↗ · Claim quote is verbatim from the 2023Q1 earnings call.