{"id":992393,"date":"2026-11-03T11:06:29","date_gmt":"2026-11-03T04:06:29","guid":{"rendered":"https:\/\/5id.vn\/nemotron-3-5-bolt-e4b-edge-ai-model-runs-on-4gb-vram\/"},"modified":"2026-11-03T11:06:29","modified_gmt":"2026-11-03T04:06:29","slug":"nemotron-3-5-bolt-e4b-edge-ai-model-runs-on-4gb-vram","status":"publish","type":"post","link":"https:\/\/5id.vn\/vi\/nemotron-3-5-bolt-e4b-edge-ai-model-runs-on-4gb-vram\/","title":{"rendered":"Nemotron 3.5 Bolt-E4B: M\u00f4 h\u00ecnh AI bi\u00ean ch\u1ea1y tr\u00ean 4GB VRAM"},"content":{"rendered":"<div class=\"vgblk-rw-wrapper limit-wrapper\">\n<div class=\"seo-article-body\" style=\"width:100%;max-width:830px;margin:0 auto;line-height:1.7;box-sizing:border-box\">\n<p>Nemotron 3.5 Bolt-E4B, NVIDIA&#39;s latest AI model, can run locally on devices equipped with just 4 GB of VRAM.\\n\\nThe model is optimized for edge deployments, delivering top-of-the-class performance relative to its compact size.\\n\\nIt was trained on Google&#39;s Gemma 4 architecture and supports a context window of 64-128 K tokens, enabling richer interactions.\\n\\nDevelopers can both run and fine-tune the model directly on Unsloth AI Desktop, simplifying the workflow for on-premise AI.\\n\\n## Conclusion\\nNemotron 3.5 Bolt-E4B brings powerful edge AI capabilities to low-resource hardware, making it a practical choice for developers who need high performance with only 4 GB VRAM.\\n\\n### References\\n- <a href=\"https:\/\/lnkd.in\/gcpcKqKr\" target=\"_blank\" rel=\"noopener\">GGUF download<\/a>\\n- <a href=\"https:\/\/lnkd.in\/eGcGDibJ\" target=\"_blank\" rel=\"noopener\">Installation guide<\/a><\/p>\n<h2>K?t lu?n<\/h2>\n<p>Nemotron 3.5 Bolt-E4B h?u \ufffdch nh?t khi ngu?i d?c hi?u d\ufffdng b?i c?nh, \ufffd ch\ufffdnh v\ufffd bu?c ti?p theo c?n l\ufffdm. M?t c?u tr\ufffdc r\ufffd r\ufffdng gi\ufffdp b\ufffdi vi?t d? d?c hon v\ufffd gi? d\ufffdng tinh th?n c?a ngu?n.<\/p>\n<\/div>\n<\/div>\n<p><!-- .vgblk-rw-wrapper --><\/p>","protected":false},"excerpt":{"rendered":"<p>Nemotron 3.5 Bolt-E4B mang l\u1ea1i hi\u1ec7u n\u0103ng AI h\u00e0ng \u0111\u1ea7u ch\u1ec9 v\u1edbi 4 GB VRAM, \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n tr\u00ean Gemma 4 v\u00e0 h\u1ed7 tr\u1ee3 ng\u1eef c\u1ea3nh 64-128K, s\u1eb5n s\u00e0ng cho Unsloth AI.<\/p>","protected":false},"author":26,"featured_media":992392,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"Nemotron 3.5 Bolt-E4B","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"Nemotron 3.5 Bolt-E4B delivers top edge AI performance on just 4 GB VRAM, trained on Gemma 4 and supporting 64-128K context, ready for Unsloth AI","_yoast_wpseo_linkdex":"90","_yoast_wpseo_content_score":"90","rank_math_focus_keyword":"","rank_math_description":"","rank_math_title":"","source_url":"","source_name":"Staff-AI","footnotes":""},"categories":[17,19,11],"tags":[],"class_list":["post-992393","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-development","category-it","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - 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