2022
By GTC 2022, Nvidia reported 3 million registered CUDA developers and 450 SDKs and models, with 60 new ones announced that year.
“There are now 3 million registered CUDA developers, 450 separate SDKs and models.”
Topic
CUDA
14 facts from 6 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2023
CUDA reached 4 million registered developers in May 2023, up from 3 million in 2022.
“And then just one year later, in May of 2023, CUDA has 4 million registered developers.”
2023
Huang estimates 250 to 300 million active CUDA GPUs are in use.
“There are literally a couple of hundred million, right? 250 million, 300 million installed base of active CUDA GPUs being used in the world today.”
Undated
According to a LinkedIn search by the host, about 1,100 Nvidia employees have CUDA in their job titles.
“There are 1100 employees dedicated specifically to the CUDA platform.”
Undated
One of NVIDIA's company-risking bets, per the host, was a roughly seven-year investment in AI and CUDA and its own developer ecosystem before the market existed.
“And then a third one around the like seven year investment before the market was there in AI and CUDA and building their own developer ecosystem.”
Undated
Huang says every NVIDIA accelerator is architecturally compatible with the others, which he says no other accelerator maker has done.
“We are the only accelerator on the planet where every single accelerator is architecturally compatible with the others.”
Undated
CUDA stands for Compute Unified Device Architecture, and Huang says it grew out of an earlier NVIDIA architecture called UDA.
“CUDA is Compute Unified Device Architecture.”
Undated
Huang says NVIDIA's market value fell to about two to three billion dollars for a period because of its investment in CUDA.
“we traded down at about a couple of two, three billion dollars in market value for a while because of the decision we made in going into CUDA”
Undated
Nvidia created CUDA, short for compute unified device architecture, a programming model that made GPUs easier to use for general computing.
“this new programming model for chips that they call the compute unified device architecture. It's called CUDA.”
Undated
Making its GPUs CUDA-compatible took four years and cut Nvidia's gross margin from forty-five percent to thirty-five percent.
“The move was extremely expensive. It took four years and the company invested so much in converting its GPUs for CUDA compatibility that its gross margin fell from forty five to thirty five.”
Undated
Nvidia was already selling millions of GeForce GPUs a year when it decided to put CUDA on them, according to Jensen Huang.
“We were already selling millions and millions of GeForce GPUs a year.”
Undated
Jensen Huang says Nvidia's market value fell to about $1.5 billion after CUDA's cost hit the company.
“our market cap went down to like $1.5 billion, and so we were down”
Undated
Jensen Huang says CUDA raised the cost of GeForce GPUs by about 50% when Nvidia had roughly 35% gross margins.
“increased our cost by 50 and that con consumed, and we were a 35 gross margin company”
Undated
Jensen Huang credits about 43,000 Nvidia employees and several million developers for CUDA's success.
“it wasn't three people that that made CUDA successful, it was 43,000 people that made CUDA successful”
Episodes
- 16 Oct 2023NVIDIA CEO Jensen Huang1h 31m
- 6 Sep 2023Nvidia Part III: The Dawn of the AI Era (2022-2023)2h 55m
- 19 Dec 2022Holiday Special 20222h 21m
- 20 Apr 2022Nvidia Part II: The Machine Learning Company (2006-2022)2h 12m
- 23 Mar 2026#494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution2h 32m
- 13 Jan 2025#376 Jensen Huang: Founder of Nvidia1h 40m