From 26caf590a731e8257c38e0643206c9467154a8ce Mon Sep 17 00:00:00 2001 From: Seonghee Lee Date: Thu, 9 Jul 2026 13:47:24 -0700 Subject: [PATCH 1/2] docs: add Nemotron 3 Ultra NVFP4 blog to Latest News Signed-off-by: Seonghee Lee --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index edd130d715f..487dd899683 100644 --- a/README.md +++ b/README.md @@ -26,6 +26,7 @@ Model Optimizer is also integrated with [NVIDIA Megatron-Bridge](https://github. ## Latest News +- [2026/06/26] [BLOG: Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer](https://developer.nvidia.com/blog/creating-the-nvidia-nemotron-3-ultra-nvfp4-checkpoint-with-nvidia-model-optimizer/): How we quantized Nemotron 3 Ultra (550B) to NVFP4 with Model Optimizer — up to 5.9× higher decode-heavy inference throughput than GLM-5.1 754B FP4 while matching BF16 accuracy. Checkpoint on Hugging Face: [NVFP4](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4). - [2026/05/27] [**End-to-end Optimization tutorial for Nemotron-3-Nano-30B-A3B**](./examples/megatron_bridge/tutorials/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16): Pruning + two-phase distillation + FP8 quantization achieving 2.6× vLLM throughput and 2.6× memory reduction. - [2026/05/13] [**Puzzletron**](./examples/puzzletron): A new algorithm for heterogeneous pruning & NAS of LLM and VLM models. - [2026/04/15] Customer story: [Domyn compresses Colosseum-355B → 260B using ModelOpt's Minitron pruning + distillation](https://www.domyn.com/blog/domyn-large-the-journey-of-a-european-sovereign-ai-model-for-regulated-industries) From b3bb2f88334cfab41042468e7551db3a602d5559 Mon Sep 17 00:00:00 2001 From: Seonghee Lee Date: Mon, 13 Jul 2026 13:04:31 -0700 Subject: [PATCH 2/2] docs: address review feedback on Nemotron 3 Ultra NVFP4 blog entry Reword the Hugging Face checkpoint link per reviewer suggestion. Signed-off-by: Seonghee Lee --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 487dd899683..d9b9744b3a5 100644 --- a/README.md +++ b/README.md @@ -26,7 +26,7 @@ Model Optimizer is also integrated with [NVIDIA Megatron-Bridge](https://github. ## Latest News -- [2026/06/26] [BLOG: Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer](https://developer.nvidia.com/blog/creating-the-nvidia-nemotron-3-ultra-nvfp4-checkpoint-with-nvidia-model-optimizer/): How we quantized Nemotron 3 Ultra (550B) to NVFP4 with Model Optimizer — up to 5.9× higher decode-heavy inference throughput than GLM-5.1 754B FP4 while matching BF16 accuracy. Checkpoint on Hugging Face: [NVFP4](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4). +- [2026/06/26] [BLOG: Creating the NVIDIA Nemotron 3 Ultra NVFP4 Checkpoint with NVIDIA Model Optimizer](https://developer.nvidia.com/blog/creating-the-nvidia-nemotron-3-ultra-nvfp4-checkpoint-with-nvidia-model-optimizer/): How we quantized Nemotron 3 Ultra (550B) to NVFP4 with Model Optimizer — up to 5.9× higher decode-heavy inference throughput than GLM-5.1 754B FP4 while matching BF16 accuracy. [NVFP4 Checkpoint](https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B-NVFP4) on Hugging Face. - [2026/05/27] [**End-to-end Optimization tutorial for Nemotron-3-Nano-30B-A3B**](./examples/megatron_bridge/tutorials/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16): Pruning + two-phase distillation + FP8 quantization achieving 2.6× vLLM throughput and 2.6× memory reduction. - [2026/05/13] [**Puzzletron**](./examples/puzzletron): A new algorithm for heterogeneous pruning & NAS of LLM and VLM models. - [2026/04/15] Customer story: [Domyn compresses Colosseum-355B → 260B using ModelOpt's Minitron pruning + distillation](https://www.domyn.com/blog/domyn-large-the-journey-of-a-european-sovereign-ai-model-for-regulated-industries)