On peak earnings power we still see the stock as less expensive than other AI beneficiaries, while everything else in semis continues to suffer from cyclical pressures,
No demand slowdown in sight, as Nvidia expects worldwide data center 'modernization' from coding to generating AI to be ongoing over the next five years,
All indications continue to be that there will be a strong Blackwell ramp, though supply will be the limiter for Blackwell through CY25,
We believe the path to $4 trillion market cap and beyond is now laid out by Nvidia and this is bullish for the broader tech rally into year-end and 2025,
AI is big and could be bigger than world changing events like the PC, smartphone, Internet, etc,
Whatever the new administration decides, we will, of course, support the administration" and "fully" comply with any new regulations
Demand for Hopper and anticipation for Blackwell — in full production — are incredible as foundation model makers scale pretraining, post-training, and inference,
Foundation model pre-training scaling is intact and it's continuing,
You know, the next generation starts at 100,000 Blackwells,
The longer it thinks, the better and higher quality answer it produces,
The age of AI is in full steam, propelling a global shift to NVIDIA computing,
Investors have become accustomed to huge beats from this company, but doing that is getting harder and harder,
Rumblings of potential supply chain issues are clearly causing some concerns,
If there was another company that was about to sneak up and was nibbling at them, then [Blackwell pushouts] would be a problem,
I say own it, don't trade it,
There's two things you need to know about Nvidia,
Keep an eye on GM [gross margin],
While we expect to hear Blackwell called out as a revenue generator in both CQ3 and ramping in CQ4, we believe any slippage in Blackwell will likely be replaced with Hopper, offering downside protection on revenue,
As you know, this is an empirical law, not a fundamental physical law, but the evidence is that it continues to scale. What we’re learning, however, is that it’s not enough,
Our hopes and dreams are that someday, the world does a ton of inference, and that’s when AI has really succeeded,