--- title: Accelerating large language models with NVFP4 quantization description: NVFP4 is NVIDIA's 4-bit floating-point quantization format that enables efficient deployment of large language models with near-baseline accuracy. Red Hat has... canonical: https://daily.dev/posts/accelerating-large-language-models-with-nvfp4-quantization-ope22pwoi twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Accelerating large language models with NVFP4 quantization | daily.dev og:description: NVFP4 is NVIDIA's 4-bit floating-point quantization format that enables efficient deployment of large language models with near-baseline accuracy. Red Hat has... og:url: https://daily.dev/posts/accelerating-large-language-models-with-nvfp4-quantization-ope22pwoi og:image: https://api.daily.dev/og/posts/OPe22PWoI.png og:image:alt: Accelerating large language models with NVFP4 quantization og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Accelerating large language models with NVFP4 quantization **[Red Hat Developer](https://daily.dev/sources/rhdev)** · 6 min read · 1 upvotes · 0 comments ## Summary NVFP4 is NVIDIA's 4-bit floating-point quantization format that enables efficient deployment of large language models with near-baseline accuracy. Red Hat has released NVFP4-quantized versions of popular models ranging from 8B to 400B+ parameters, achieving 99% accuracy recovery on large models (70B-235B), 97-99% on mid-size models (~30B), and 95-98% on smaller models (7B-14B). The format provides 1.5-1.8× smaller storage than FP8 and ~3× smaller than FP16, with native hardware acceleration on NVIDIA Blackwell GPUs. Accuracy recovery improves with model size, making NVFP4 particularly effective for frontier-scale and mixture-of-experts architectures. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [3 Ways NVFP4 Accelerates AI Training and Inference](https://daily.dev/posts/3-ways-nvfp4-accelerates-ai-training-and-inference-2zfw3y2wb) · NVIDIA Developer · 1 upvotes · 0 comments - [Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell](https://daily.dev/posts/train-models-faster-with-jax-and-maxtext-using-nvfp4-on-nvidia-blackwell-ouytd5oyn) · NVIDIA Developer · 0 upvotes · 0 comments - [Optimizing Inference for Long Context and Large Batch Sizes with NVFP4 KV Cache](https://daily.dev/posts/optimizing-inference-for-long-context-and-large-batch-sizes-with-nvfp4-kv-cache-qcqoncplt) · NVIDIA Developer · 1 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#llm](https://daily.dev/tags/llm), [#nvidia](https://daily.dev/tags/nvidia), [#gpu](https://daily.dev/tags/gpu) [View this post on daily.dev](https://daily.dev/posts/accelerating-large-language-models-with-nvfp4-quantization-ope22pwoi) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Accelerating large language models with NVFP4 quantization","url":"https://daily.dev/posts/accelerating-large-language-models-with-nvfp4-quantization-ope22pwoi","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/accelerating-large-language-models-with-nvfp4-quantization-ope22pwoi"},"datePublished":"2026-02-02T07:26:44.039Z","dateModified":"2026-02-26T22:52:44.681Z","description":"NVFP4 is NVIDIA's 4-bit floating-point quantization format that enables efficient deployment of large language models with near-baseline accuracy. 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