Meta Description: NVIDIA just open-sourced Nemotron-Labs Diffusion — a family of 3B, 8B, and 14B...
Meta Description: NVIDIA just open-sourced Nemotron-Labs Diffusion — a family of 3B, 8B, and 14B diffusion language models that merge autoregressive and diffusion generation for up to 6.4× faster inference. Here's the complete technical deep dive into the architecture, training methodology, three generation modes, and how to run it today with SGLang.
Table of Contents
The Speed Wall Autoregressive LLMs Hit
What Are Diffusion Language Models?
Why DLMs Struggled — Until Now
Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models
NVIDIA AI Releases Nemotron-Labs-Diffusion: A Tri-Mode Language Model with 6× Tokens Per Forward Over Qwen3-8B
Announcing native availability of NVIDIA Nemotron 3 Nano, NVIDIA’s latest reasoning model
The Sequence Knowledge #862: Learning About Text Diffusion Models
Meta Description: Diffusion language models (DLMs) are rewriting LLM inference. Dive deep into...
NVIDIA just released Nemotron-Labs Diffusion: a family of open-weight language models (3B, 8B, 14B,...
A Blog post by NVIDIA on Hugging Face
NVIDIA releases Nemotron-Labs-Diffusion, a tri-mode LM unifying AR, diffusion, and self-speculation decoding at 5.99× tokens per…
Standard diffusion language models can't use KV caching and need too many refinement steps to be practical. CDLM fixes both with…
Gemini Diffusion is also useful for tasks such as refactoring code, adding new features to applications, or converting an…
