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Chip designer NVIDIA Corporation believes that Tesla Inc’s introduction of the latter’s D1 chip to train its artificial intelligence models for autonomous driving validates NVIDIA’s approach of combining major computing elements for automotive artificial intelligence solutions. NVIDIA’s comments were made by the company’s chief financial officer Ms. Colette Kress at the Bank of Montreal’s investment banking subsidiary BMO Capital Markets’ technology summit earlier today. During her talk, the executive also shared details about NVIDIA’s supply constraints for its graphics processing units (GPUs), its outlook for the cryptocurrency market and its expectation for the company’s pending takeover of British design house Arm Ltd.
NVIDIA Outlines That It’s Working With Board Partners To Ease Graphics Processing Unit Shortage
Ms. Kress started by explaining the supply constraints that her company is facing when it comes to GPUs. The semiconductor sector as a whole has been dealing with serious shortages since the onset of the ongoing pandemic, as demand for consumer electronics soared in the wake of restrictions forcing buyers to switch to remote work and entertainment.
According to her, NVIDIA is working with its channel partners, specifically with its original equipment manufacturers, to ensure that their needs are met and that GPUs make their way to gamers.
The executive outlined that:
She echoed a similar strategy for the data center products by adding on later that:
She also commented on the downward movement in GPU retail prices but cautioned that more work needs to be done to reduce the prices.
According to the executive:
The host then asked Ms. Kress about her thoughts about Tesla’s D1 chip and its launch at a time when the automotive semiconductor sector is moving forward from simple infotainment systems to autonomous driving and if other companies will follow suit.
However, our strategy involves providing CMP–crypto mining processor–cards to professional miners and low hash rate GeForce cards for our gamers. This allows us to steer that supply to our gamers. Low hash rate cards shipped in Q2 were over 80% of our Q2 Ampere desktop GPU shipments. And we’re early in the process for the Ampere architecture. Now, we’re starting to see those GeForce retails prices directionally starting to move lower, but we have to see some additional work on getting the retail prices down.
Her response was as follows:
You will see an inflection point, probably in the next year and a half or so, as our autonomous driving solutions, and in terms of the market for both passenger parts, but also robotaxis and our overall [INAUDIBLE]. We focus on an end-to-end platform. We focus on an end-to-end platform that starts even today, as automotive companies have infrastructure inside of their datacenters to build out and develop for what they will have in terms of autonomous vehicles in the decade going forward. And we provide probably the strongest performance but also complete solution from the overall hardware inside of a car and softwares to move forward.
In the case of Tesla, they have really demonstrated, or validated, our full-stack approach and the importance of our innovation through systems, networking, software, in terms of what we put together. It’s interesting to see Tesla in terms of their overall performance, but you should keep in mind, NVIDIA is still working every single day on our roadmap that I’m sure there will be more we’ll be able to show both our customers and as well as our investors….
