Nvidia sinks 3% as report surfaces of overheating Blackwell AI chips
- The Information reports that Blackwell chips are overheating at data centers.
- Nvidia reports Q3 earnings on Wednesday with Wall Street expecting more than $33 billion in revenue.
- Dow Jones sheds weight as NVDA retreats 1.28% on Monday.
- Google is working with Nvidia supercomputer to study quantum computing.
Nvidia (NVDA) stock slumped 3% at the start of trading on Monday after a report over the weekend shed light on allegations from customers that the chipmaker’s leading artificial intelligence (AI) chip is having problems with overheating.
On Sunday, The Information reported that Nvidia’s newest Blackwell GPU chip has been known to overheat when working in concert with others in large server racks. This could prove to be a snag for Nvidia’s rollout schedule as customers deal with the setback.
Nvidia stock ended the day 1.28% lower, while the Dow Jones Industrial Average, of which it is a member, fell 0.13% on the day.
Nvidia stock news
The Information reported that many of Nvidia’s AI customers are having to re-jigger their data centers as overheating caused by the inclusion of Blackwell graphics processing units deals a blow to their operations. Hyperscalers like Microsoft (MSFT), Alphabet (GOOGL) and Amazon (AMZN) are all thought to be facing similar issues.
Nvidia has been releasing statements in an attempt to tamp down worries and calling the situtation normal “iterations” of a new product.
The Blackwell GPUs, which were first rolled out in the second quarter and continue to have a large, constrained backorder, are set up in sets of 72 on server racks. The server racks are then overheating and failing to meet workload requirements due to downtime.
Nvidia CEO Jensen Huang holds a Blackwell GPU on the left and an H100 GPU on the right. (Source:Nvidia)
Packed with 208 billion transistors each, the Blackwell GPUs are said to work between seven and 30 times better on a performance basis for AI iterations than Nvidia’s previous generation of H100 GPUs. Astoundingly, it is said to use just a fraction of the energy as the previous generation as well, in some cases just 4% of the prior level of power.
In other news, Nvidia is working in partnership with Google to build quantum AI processors. Engineers at Google are utilizing a Nvidia supercomputer that has stitched together 1,024 H100 chips to study the physics of quantum processors.
“AI supercomputing power will be helpful to quantum computing’s success,” Nvidia executive Tim Costa said in a statement. “Google’s use of the CUDA-Q platform demonstrates the central role GPU-accelerated simulations have in advancing quantum computing to help solve real-world problems.”
This all precedes Nvidia’s Q3 results, which are scheduled to be released in Wednesday’s post-market. Wall Street projects adjusted earnings per share of $0.74 on revenue just above $33 billion.