Nvidia pulls in $6B in profit as AI boom surges
Nvidia just reported a massive $6.188B in quarterly net profit, up 843% year over year on $13.5B in revenue. The surge was driven by its data center business, which reached a record $10.32B as demand for generative AI chips exploded. Basically, Nvidia is dominating the hardware race while projecting an even bigger $16B next quarter.
While the rest of the semiconductor industry grumbled through a lingering PC slump, Nvidia just proved that the generative AI boom is generating an unfathomable amount of actual cash.
Roughly three months after riding the artificial intelligence wave straight into the trillion-dollar club, Nvidia delivered its Q2 2024 earnings report, and the numbers are completely off the charts.
Crushing the PC slump with pure AI revenue
Nvidia raked in a massive $13.5 billion in revenue since May. Unprecedented demand for its generative AI hardware easily blew past any drag from selling desktop and laptop graphics cards into a declining PC market.
The real star of the show was the data center business. That segment alone pulled in a record $10.32 billion, more than doubling in a single quarter.
That top-line surge translated directly to the bottom line, with Nvidia pocketing $6.188 billion in net profit. That is an eye-popping 843 percent increase compared to the same quarter last year.
Even gaming held its own, bringing in $2.48 billion, up 22 percent year over year. Nvidia noted that 20 percent of its active install base now runs an RTX 3060 or better.
Looking ahead, Nvidia forecasted $16 billion in revenue for the next quarter. Following the announcement, its stock jumped 8.5 percent in after-hours trading.
Chasing capacity while rivals pivot to the edge
Demand is not slowing down anytime soon. Nvidia CFO Colette Kress confirmed that sequential growth will still be driven largely by data centers.
Because the next-generation GH200 superchip will not land until mid-2024 at an undisclosed price tag, next quarter will still lean heavily on existing inventory. Kress said the company is actively lowering cycle times and working closely with manufacturing partners to add capacity, alongside pushing the L40 GPU for varied workloads.
Meanwhile, rivals Intel and AMD still do not have a compelling answer on the market. AMD expects its competing MI300 silicon to begin arriving late in the fourth quarter ahead of early 2024 deployments.
Interestingly, both AMD CEO Lisa Su and Intel CEO Pat Gelsinger have started downplaying the idea that AI belongs solely in cloud server racks, promising instead to bring AI acceleration to every client device and platform they manufacture.
Why it matters
Nvidia is currently operating the only tollbooth on the highway to generative AI. For developers and enterprise builders racing to train foundation models, this earnings report confirms that hardware bottlenecks and high server bills are not going away anytime soon.
In terms of industry dynamics, Nvidia has built a temporary monopoly on high-end AI acceleration. While Intel and AMD talk up a future where edge computing and client chips run AI models locally, that looks like a tactical talking point to cover for the fact that their cloud hardware is simply late to the party.
We think Nvidia executed brilliantly by ruthlessly shifting fab allocations and packaging resources toward high-margin data center accelerators. However, the obvious vulnerability lies in supply chain limits. Until AMD can ship the MI300 at real scale, Nvidia will dictate pricing and availability across the entire tech landscape.
Sources (1)
- theverge.com(opens in a new tab)Originaltheverge.com