NVIDIA发布了Nemotron-Labs Diffusion系列语言模型，提供3B、8B和14B参数规模。这些模型在一个架构内独特地支持自回归（AR）、扩散和自推测解码模式，实现了显著的速度提升。通过并行生成token块而非顺序生成，Nemotron-Labs Diffusion的吞吐量比传统AR模型高出6.4倍，同时保持或提高了准确性。这一突破解决了AR模型固有的内存带宽瓶颈，使其在生产部署和代理系统中更高效。
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<p>NVIDIA researchers have released Nemotron-Labs-Diffusion, a language model family that unifies three decoding modes in one architecture. The model supports autoregressive (AR) decoding, diffusion-based parallel decoding, and self-speculation decoding. It is available in 3B, 8B…
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TIER_1English(EN)·Manoranjan Rajguru·
<h1> Diffusion Language Models: How NVIDIA's Nemotron-Labs DLM Is Killing Token-by-Token Generation </h1> <p><em>Published May 25, 2026 · 18 min read</em></p> <h2> Table of Contents </h2> <ol> <li>The Token-by-Token Tax — Why We Need Something Better</li> <li>Why Autoregressive G…
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TIER_1English(EN)·Manoranjan Rajguru·
<blockquote> <p><strong>Meta Description:</strong> 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 …
<p>NVIDIA just released Nemotron-Labs Diffusion: a family of open-weight language models (3B, 8B, 14B, plus an 8B VLM) that can run in three distinct generation modes from the same checkpoint — autoregressive, diffusion, or self-speculative — with no application-level changes req…
dev.to — LLM tag
TIER_1English(EN)·Manoranjan Rajguru·
<blockquote> <p><strong>Meta Description:</strong> Diffusion language models (DLMs) are rewriting LLM inference. Dive deep into NVIDIA's Nemotron-Labs Diffusion — how block-wise attention, AR-to-DLM conversion, and self-speculation modes achieve 6.4× throughput gains over autoreg…
Nvidia prezentuje rodzinę modeli Nemotron-Labs Diffusion, która dzięki równoległemu generowaniu bloków tekstu przyspiesza pracę AI nawet sześciokrotnie, rzucając wyzwanie dominującej od lat metodzie pisania słowo po słowie. # si # ai # sztucznainteligencja # wiadomości # informac…
