2025-12-15
Nemotron 3 Nano is competitive with other leading open source models, but 1.5-3.3X faster. [image]
VentureBeat
Nvidia launches Nemotron 3, a family of AI models using a hybrid mixture-of-experts architecture and the Mamba-Transformer design, in 30B, 100B, and ~500B sizes
Nvidia launched the new version of its frontier models, Nemotron 3, by leaning in on a model architecture that the world's …
Today, @NVIDIA is launching the open Nemotron 3 model family, starting with Nano (30B-3A), which pushes the frontier of accuracy and inference efficiency with a novel hybrid SSM Mixture of Experts architecture. Super and Ultra are coming in the next few months. [image]
VentureBeat
Nvidia launches Nemotron 3, a family of AI models using a hybrid mixture-of-experts architecture and the Mamba-Transformer design, in 30B, 100B, and ~500B sizes
Nvidia launched the new version of its frontier models, Nemotron 3, by leaning in on a model architecture that the world's …
2025-08-19
Today we're releasing NVIDIA Nemotron Nano v2 - a 9B hybrid SSM that is 6X faster than similarly sized models, while also being more accurate. Along with this model, we are also releasing most of the data we used to create it, including the pretraining corpus. Links to the models, datasets, and tech report are here: [link]
VentureBeat
Nvidia debuts Nemotron-Nano-9B-v2, a hybrid Mamba-Transformer model, saying it achieves comparable or better accuracies than Qwen3-8B on reasoning benchmarks
Small models are having a moment. On the heels of the release of a new AI vision model small enough to fit on a smartwatch …
2024-03-19
Four years ago, we split GA100 into two halves that communicate through an interconnect. It was a big move - and yet barely anyone noticed, thanks to amazing work from CUDA and the GPU team. Today, that work comes to fruition with the Blackwell launch. Two dies. One awesome GPU. [image]
CNBC
Nvidia announces Blackwell, a new generation of AI chips available later in 2024, starting with the GB200 superchip, which pairs two B200 GPUs with a Grace CPU
- Nvidia on Monday announced a new generation of artificial intelligence chips and software for running AI models.
2022-03-29
Did you know @nvidia is currently the 6th biggest company on the S&P 500? For its size and influence, I think @nvidia is not well understood. This @stratechery article does a great job of explaining @nvidia's work and history. https://stratechery.com/...
Stratechery
Q&A with Nvidia CEO Jensen Huang on integrating hardware and software, the company's full-stack approach, ML opportunities, attempting to buy Arm, and more
Ben Thompson / Stratechery :
2021-04-02
Intel in 2007 was concerned about Innovator's Dilemma disruption to its CPU business, and so it started the Atom line to make x86 cheaper. But it somehow overlooked its core competency of the time: chip manufacturing. Now TSMC has fully disrupted them. https://asia.nikkei.com/...
Bloomberg
TSMC says it plans to spend $100B over the next three years to expand its chip fabrication capacity
Debby Wu / Bloomberg :
2020-09-14
I'm thrilled about @nvidia's proposed acquisition of @arm. Working together, we will make technology better from embedded devices to the biggest data centers. And Applied Deep Learning Research will discover even more interesting problems to work on. https://blogs.nvidia.com/...
Bloomberg
Nvidia to buy Arm from SoftBank in a $40B deal, saying it will keep Arm's HQ in UK, expand R&D facilities there, and keep Arm's open licensing business model
- Acquirer pledges to keep Arm independent to retain customers — Nvidia to build AI research facility at Arm's U.K. location
2019-08-14
Three scaling breakthroughs for NLP: fastest BERT-Large training (under one hour), fastest BERT inference (2.2ms on T4), and largest Transformer (GPT-2 8.3B). Code is open source. https://devblogs.nvidia.com/ ...
TechCrunch
Nvidia says it has broken records for real-time conversational AI, training the industry-standard BERT model in 53 minutes and then inferring responses in ~2ms
Darrell Etherington / TechCrunch :