--- title: Build with DeepSeek V4 Using NVIDIA Blackwell and... description: DeepSeek has released its fourth-generation flagship models: DeepSeek-V4-Pro (1.6T total parameters, 49B active) and DeepSeek-V4-Flash (284B total, 13B... canonical: https://daily.dev/posts/build-with-deepseek-v4-using-nvidia-blackwell-and-gpu-accelerated-endpoints-buodrppbu twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints | daily.dev og:description: DeepSeek has released its fourth-generation flagship models: DeepSeek-V4-Pro (1.6T total parameters, 49B active) and DeepSeek-V4-Flash (284B total, 13B... og:url: https://daily.dev/posts/build-with-deepseek-v4-using-nvidia-blackwell-and-gpu-accelerated-endpoints-buodrppbu og:image: https://api.daily.dev/og/posts/buodRPpbu.png og:image:alt: Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints 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. # Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints **[NVIDIA Developer](https://daily.dev/sources/nvidiadev)** · 5 min read · 0 upvotes · 0 comments ## Summary DeepSeek has released its fourth-generation flagship models: DeepSeek-V4-Pro (1.6T total parameters, 49B active) and DeepSeek-V4-Flash (284B total, 13B active), both supporting 1M-token context windows under MIT license. Key architectural innovations include hybrid attention combining Compressed Sparse Attention (CSA) and Heavily Compressed Attention (HCA), delivering a claimed 73% reduction in per-token inference FLOPs and 90% reduction in KV cache memory versus V3.2. NVIDIA GB200 NVL72 benchmarks show over 150 tokens/sec/user out of the box for V4-Pro. Developers can access the models via NVIDIA GPU-accelerated endpoints on build.nvidia.com, deploy with vLLM or SGLang recipes (including multinode prefill/decode disaggregation scaling to 100+ GPUs), and integrate into agentic workflows using NVIDIA NIM, AI-Q Blueprint, or NeMo Agent Toolkit. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [DeepSeek-V4: a million-token context that agents can actually use](https://daily.dev/posts/deepseek-v4-a-million-token-context-that-agents-can-actually-use-uczd4kivx) · Hugging Face · 27 upvotes · 2 comments - [DeepSeek V4—almost on the frontier, a fraction of the price](https://daily.dev/posts/deepseek-v4-almost-on-the-frontier-a-fraction-of-the-price-xfglgl9rp) · Simon Willison · 7 upvotes · 0 comments --- Tags: [#llm](https://daily.dev/tags/llm), [#agentic-ai](https://daily.dev/tags/agentic-ai), [#deepseek](https://daily.dev/tags/deepseek) [View this post on daily.dev](https://daily.dev/posts/build-with-deepseek-v4-using-nvidia-blackwell-and-gpu-accelerated-endpoints-buodrppbu) ```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":"Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints","url":"https://daily.dev/posts/build-with-deepseek-v4-using-nvidia-blackwell-and-gpu-accelerated-endpoints-buodrppbu","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/build-with-deepseek-v4-using-nvidia-blackwell-and-gpu-accelerated-endpoints-buodrppbu"},"datePublished":"2026-04-24T23:32:28.186Z","dateModified":"2026-04-25T02:34:32.475Z","description":"DeepSeek has released its fourth-generation flagship models: DeepSeek-V4-Pro (1.6T total parameters, 49B active) and DeepSeek-V4-Flash (284B total, 13B...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d2a372322d4cc90c4b9070b6c11381da?_a=AQAEuop","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/d2a372322d4cc90c4b9070b6c11381da?_a=AQAEuop","isAccessibleForFree":true,"articleSection":"NVIDIA Developer","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"NVIDIA Developer","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/86e45aab42ba48ce83103d01b1119910","url":"https://daily.dev/sources/nvidiadev"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/build-with-deepseek-v4-using-nvidia-blackwell-and-gpu-accelerated-endpoints-buodrppbu","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,agentic-ai,deepseek","timeRequired":"PT5M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"NVIDIA Developer","item":"https://daily.dev/sources/nvidiadev"},{"@type":"ListItem","position":3,"name":"Build with DeepSeek V4 Using NVIDIA Blackwell and GPU-Accelerated Endpoints"}]} ```