The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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Catanzaro: Moore's Law has been economically dead for five to ten years
“The original statement of Moore's law was economic, right? It was about, we can afford to put twice as many transistors on the same chip in every, whatever, 24 months, whatever the time period is. And these days that is, Absolutely not the case. It hasn't been…”
Catanzaro: Humans will primarily interact with AI inside virtual worlds
“And I think that the primary way that people are going to interact with AI is going to be in virtual worlds. Because I think that's going to be the most natural way of interaction in the most useful way.”
NVIDIA pre-trained Nemotron Ultra and Super natively using 4-bit floating point
“NemoTron Ultra and Super, ah, were pre-trained using four-bit arithmetic. We pre-trained those in MVFP four”
Catanzaro: Nemotron 3's Latent MoE quadruples experts for same inference cost
“Latent MOE is a specific innovation that we have in NemoTron three family. And what it does is actually reduces the amount of communication that has to be sent through NVLink during MOE computations by basically down projecting it. So, you know, every token pr…”
Catanzaro: MoEs have long been the default architecture in frontier AI
“Yeah, I believe MOEs have been the default in Frontier AI for a long time. They're just a really good combination of inference cost and intelligence.”
Catanzaro: About 40% of NVIDIA data center GPUs go to inference
“Jensen said in the earnings call this week that somewhere around 40% of our data center GPUs were going for inference, which I think is you know, pretty amazing and definitely a shift from where things have been a few years ago.”
Catanzaro: NVIDIA Hopper GPUs feature superior circuits designed by internal AI
“Our hopper GPUs, for example, have a lot of circuits in them that were designed by AI that we built ourselves that have better speed and power and cost characteristics than we knew how to build with any other tool.”
Catanzaro: Enterprise data sovereignty is spurring demand for open AI models
“This is really spurring a lot of demand for open technologies for AI.”
Catanzaro: Dario Amodei worked in bioinformatics before deep learning
“At the time he had been working in bioinformatics, so he hadn't been working on deep learning or the things that we call AI these days.”
NVIDIA DLSS Is About 10 Times More Efficient Than Traditional Rendering
“DLSS is our real-time AI for graphics, and it makes a small GPU run like a big GPU. It's about 10 times more efficient because rather than computing the color of every pixel for every frame, we use AI to infer the color.”
NVIDIA DLSS Generates 23 Out of Every 24 Pixels in Games
“These days, 23 out of every 24 pixels is being generated by our AI model when you're using DLSS to play games”
Catanzaro: Combining SSMs and transformers produces smarter AI models than either alone
“Using both of these together was actually better than using either one on their own. And that is independent of the speed benefit. That is just the model is smarter.”
Catanzaro: Hybrid state-space transformer architectures are widely adopted in frontier AI
“It's become, I think, Quite widely adopted to use some sort of state space model in conjunction with full attention for the base architecture.”
Catanzaro: cuDNN was NVIDIA's first GPU deep learning product
“Then that led to the creation of QDNN, which was NVIDIA's first product for deep learning on the GPU.”
NVIDIA details Nemotron 3 parameter specs from 3B to 55B active
“Nano is a thirty billion total three billion active parameter model. Super is one 20 and 12, and Ultra is five 50 and 55.”
Catanzaro: NVIDIA post-trained Nemotron-3 Ultra using multi-domain on-policy distillation
“So with Nemo Tron three ultra, we did post-training using something called multi-domain on policy distillation.”