{"id":1301,"date":"2026-04-25T21:05:14","date_gmt":"2026-04-26T00:05:14","guid":{"rendered":"https:\/\/urutaudev.com.br\/?p=1301"},"modified":"2026-04-25T21:31:16","modified_gmt":"2026-04-26T00:31:16","slug":"deepseek-v4-flash-chegou-ao-ollama","status":"publish","type":"post","link":"https:\/\/urutaudev.com.br\/index.php\/2026\/04\/25\/deepseek-v4-flash-chegou-ao-ollama\/","title":{"rendered":"DeepSeek-V4-Flash Chegou ao Ollama"},"content":{"rendered":"<h2 style=\"font-size: 18pt; font-family: arial, helvetica, sans-serif;\">DeepSeek-V4-Flash Chegou ao Ollama<\/h2>\n<p>&nbsp;<\/p>\n<figure id=\"attachment_1302\" aria-describedby=\"caption-attachment-1302\" style=\"width: 300px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1302 size-medium\" src=\"https:\/\/urutaudev.com.br\/wp-content\/uploads\/2026\/04\/73ec8658-bd8f-419b-871f-6cb3caab4d00-e1777162049833-300x178.png\" alt=\"DeepSeek-V4-Flash Chegou ao Ollama\" width=\"300\" height=\"178\" srcset=\"https:\/\/urutaudev.com.br\/wp-content\/uploads\/2026\/04\/73ec8658-bd8f-419b-871f-6cb3caab4d00-e1777162049833-300x178.png 300w, https:\/\/urutaudev.com.br\/wp-content\/uploads\/2026\/04\/73ec8658-bd8f-419b-871f-6cb3caab4d00-e1777162049833-1024x607.png 1024w, https:\/\/urutaudev.com.br\/wp-content\/uploads\/2026\/04\/73ec8658-bd8f-419b-871f-6cb3caab4d00-e1777162049833-768x455.png 768w, https:\/\/urutaudev.com.br\/wp-content\/uploads\/2026\/04\/73ec8658-bd8f-419b-871f-6cb3caab4d00-e1777162049833.png 1536w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-1302\" class=\"wp-caption-text\">DeepSeek-V4-Flash + Ollama<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">A nova gera\u00e7\u00e3o de modelos da DeepSeek chegou com uma proposta clara de <strong>escala sem desperd\u00edcio<\/strong>. O <strong>DeepSeek-V4-Flash<\/strong>, est\u00e1 dispon\u00edvel via Ollama Cloud com as GPUs NVIDIA Blackwell, ele traz uma arquitetura <em>Mixture-of-Experts<\/em> (MoE) com <strong>284B de par\u00e2metros totais, mas usando apenas 13B ativos por infer\u00eancia<\/strong>.<\/p>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">Na pr\u00e1tica \u00e9 um desempenho de modelo gigante com custo e lat\u00eancia muito mais controlados.<\/p>\n<section>\n<h2><span style=\"font-family: arial, helvetica, sans-serif;\">O que \u00e9 o DeepSeek-V4-Flash?<\/span><\/h2>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">O V4-Flash \u00e9 uma pr\u00e9via da s\u00e9rie DeepSeek-V4, projetada para tarefas complexas de racioc\u00ednio e contexto longo.<\/p>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">Principais caracter\u00edsticas:<\/p>\n<ul style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif; padding-left: 1.5rem;\">\n<li>Arquitetura MoE (efici\u00eancia computacional)<\/li>\n<li>284B par\u00e2metros totais \/ 13B ativos<\/li>\n<li>Janela de contexto de at\u00e9 <strong>1 milh\u00e3o de tokens<\/strong><\/li>\n<li>Otimizado para racioc\u00ednio estruturado e agentes<\/li>\n<\/ul>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">Isso permite lidar com c\u00f3digo extenso, logs massivos e pipelines inteiros sem fragmenta\u00e7\u00e3o de contexto.<\/p>\n<\/section>\n<p>&nbsp;<\/p>\n<section>\n<h2><span style=\"font-family: arial, helvetica, sans-serif;\">Rodando com Ollama<\/span><\/h2>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">A integra\u00e7\u00e3o com Ollama simplifica completamente o uso em ambiente local + cloud h\u00edbrido, exemplos de como usar com o Ollama:<\/p>\n<\/section>\n<p>&nbsp;<\/p>\n<h3><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\">Executar diretamente:<\/span><\/h3>\n<div>\n<div style=\"background: #f0f0f0; padding: 4px 16px;\"><span style=\"font-size: 11px; color: #0073aa; font-family: monospace;\">bash<\/span><\/div>\n<pre style=\"background: #f4f4f4; padding: 12px 16px; overflow-x: auto; margin: 0; border-left: 3px solid #0073aa;\"><code>ollama run deepseek-v4-flash:cloud<\/code><\/pre>\n<\/div>\n<p>&nbsp;<\/p>\n<h3><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\">Com Claude Code:<\/span><\/h3>\n<div>\n<div style=\"background: #f0f0f0; padding: 4px 16px;\"><span style=\"font-size: 11px; color: #0073aa; font-family: monospace;\">bash<\/span><\/div>\n<pre style=\"background: #f4f4f4; padding: 12px 16px; overflow-x: auto; margin: 0; border-left: 3px solid #0073aa;\"><code>ollama launch claude --model deepseek-v4-flash:cloud<\/code><\/pre>\n<\/div>\n<p>&nbsp;<\/p>\n<h3><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\">Com OpenClaw:<\/span><\/h3>\n<div>\n<div style=\"background: #f0f0f0; padding: 4px 16px;\"><span style=\"font-size: 11px; color: #0073aa; font-family: monospace;\">bash<\/span><\/div>\n<pre style=\"background: #f4f4f4; padding: 12px 16px; overflow-x: auto; margin: 0; border-left: 3px solid #0073aa;\"><code>ollama launch openclaw --model deepseek-v4-flash:cloud<\/code><\/pre>\n<\/div>\n<p>&nbsp;<\/p>\n<h3><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt;\">Com Hermes Agent:<\/span><\/h3>\n<div>\n<div style=\"background: #f0f0f0; padding: 4px 16px;\"><span style=\"font-size: 11px; color: #0073aa; font-family: monospace;\">bash<\/span><\/div>\n<pre style=\"background: #f4f4f4; padding: 12px 16px; overflow-x: auto; margin: 0; border-left: 3px solid #0073aa;\"><code>ollama launch hermes --model deepseek-v4-flash:cloud<\/code><\/pre>\n<\/div>\n<p>&nbsp;<\/p>\n<section>\n<h2><span style=\"font-family: arial, helvetica, sans-serif;\">Por que isso importa?<\/span><\/h2>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">Modelos grandes sempre tiveram um problema o custo operacional.<\/p>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">O MoE resolve isso ativando apenas partes do modelo por tarefa \u2014 mantendo qualidade alta com uso eficiente de GPU.<\/p>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">Resultado direto:<\/p>\n<ul style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif; padding-left: 1.5rem;\">\n<li>Menor custo por infer\u00eancia<\/li>\n<li>Maior escalabilidade<\/li>\n<li>Melhor lat\u00eancia em cen\u00e1rios reais<\/li>\n<\/ul>\n<\/section>\n<p>&nbsp;<\/p>\n<section>\n<h2><span style=\"font-family: arial, helvetica, sans-serif;\">Casos de uso<\/span><\/h2>\n<ol style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif; padding-left: 1.5rem;\">\n<li>An\u00e1lise de c\u00f3digo em larga escala<\/li>\n<li>Agentes com mem\u00f3ria extensa (long context)<\/li>\n<li>Processamento de logs e dados massivos<\/li>\n<li>Orquestra\u00e7\u00e3o de workflows complexos<\/li>\n<li>Sistemas multi-agente com contexto compartilhado<\/li>\n<\/ol>\n<\/section>\n<p>&nbsp;<\/p>\n<section>\n<h2><span style=\"font-family: arial, helvetica, sans-serif;\">O que vem a seguir<\/span><\/h2>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">O <strong>DeepSeek-V4-Pro<\/strong> j\u00e1 est\u00e1 no roadmap e deve expandir ainda mais capacidade e estabilidade para produ\u00e7\u00e3o.<\/p>\n<\/section>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<section>\n<h2><span style=\"font-family: arial, helvetica, sans-serif;\">Conclus\u00e3o<\/span><\/h2>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">O DeepSeek-V4-Flash n\u00e3o \u00e9 s\u00f3 mais um modelo grande \u00e9 um passo t\u00e9cnico importante na dire\u00e7\u00e3o de <strong>IA escal\u00e1vel de verdade<\/strong>.<\/p>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\">Se voc\u00ea trabalha com agentes, automa\u00e7\u00e3o ou engenharia de <a href=\"https:\/\/urutaudev.com.br\/index.php\/category\/ia\/\">IA<\/a>, esse tipo de arquitetura (MoE + long context) tende a virar padr\u00e3o.<\/p>\n<p style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif;\"><strong>Menos hype, mais throughput.<\/strong><\/p>\n<\/section>\n<p>&nbsp;<\/p>\n<section>\n<h2><span style=\"font-family: arial, helvetica, sans-serif;\">Refer\u00eancias:<\/span><\/h2>\n<ul style=\"font-size: 14pt; font-family: arial, helvetica, sans-serif; padding-left: 1.5rem;\">\n<li><strong><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt;\"><a href=\"https:\/\/ollama.com\/library\/deepseek-v4-flash\" target=\"_blank\" rel=\"noopener\">Veja a documenta\u00e7\u00e3o no Ollama<\/a><\/span><\/strong><\/li>\n<\/ul>\n<\/section>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>DeepSeek-V4-Flash Chegou ao Ollama &nbsp; &nbsp; A nova gera\u00e7\u00e3o de modelos da DeepSeek chegou com uma proposta clara de escala<\/p>\n","protected":false},"author":1,"featured_media":1302,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_container_layout":"default_layout","colormag_page_sidebar_layout":"default_layout","footnotes":""},"categories":[1,108],"tags":[182,176,181,75,177,18],"class_list":["post-1301","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-dicas","tag-agents","tag-ai","tag-deepseek","tag-ia","tag-ollama","tag-tutorias"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DeepSeek-V4-Flash Chegou ao Ollama - UrutauDev<\/title>\n<meta name=\"description\" content=\"Deepseek-v4-flash chegou ao Ollama. 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