{"id":4572,"date":"2025-02-24T05:50:13","date_gmt":"2025-02-24T13:50:13","guid":{"rendered":"https:\/\/www.couchbase.com\/blog\/nvidia-enterprise-ai-in-capella-ai-services\/"},"modified":"2025-02-24T05:50:13","modified_gmt":"2025-02-24T13:50:13","slug":"nvidia-enterprise-ai-in-capella-ai-services","status":"publish","type":"post","link":"https:\/\/www.couchbase.com\/blog\/pt\/nvidia-enterprise-ai-in-capella-ai-services\/","title":{"rendered":"Couchbase e NVIDIA se unem para ajudar a acelerar o desenvolvimento de aplica\u00e7\u00f5es ag\u00eanticas"},"content":{"rendered":"<h2 class=\"wp-block-heading\">Servi\u00e7os de IA da Capella junto com o NVIDIA AI Enterprise<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">O Couchbase est\u00e1 trabalhando com a NVIDIA para ajudar empresas a acelerar o desenvolvimento de aplica\u00e7\u00f5es de IA ag\u00eantica, adicionando suporte para <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/products\/ai-enterprise\/\">NVIDIA AI Enterprise<\/a> incluindo suas ferramentas de desenvolvimento, <a href=\"https:\/\/docs.nvidia.com\/nemo-framework\/user-guide\/latest\/overview.html\">Framework de Modelos Neurais<\/a> (NeMo) e <a href=\"https:\/\/developer.nvidia.com\/nim\">NVIDIA Inference Microservices<\/a> (NIM). A Capella adiciona suporte ao NIM em seu <a href=\"https:\/\/www.couchbase.com\/blog\/pt\/products\/ai-services\/\">Servi\u00e7os de Modelos de IA<\/a> e adiciona acesso ao NVIDIA NeMo Framework para constru\u00e7\u00e3o, treinamento e ajuste fino de modelos de linguagem personalizados. O framework oferece suporte a curadoria de dados, treinamento, personaliza\u00e7\u00e3o de modelos e fluxos de trabalho de RAG para empresas.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/1\/2025\/02\/image1-5.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-16899\" src=\"https:\/\/www.couchbase.com\/wp-content\/uploads\/sites\/5\/2026\/05\/image1-5-1024x504-1.png\" alt=\"Help Accelerate Agentic Application Development\" width=\"900\" height=\"443\"><\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Os servi\u00e7os de IA da Capella com suporte do NVIDIA AI Enterprise cobrem todo o ciclo de vida de entrega baseado em agentes<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Ao contr\u00e1rio dos bancos de dados que suportam exclusivamente busca vetorial sem fornecer assist\u00eancia para sua cria\u00e7\u00e3o e utiliza\u00e7\u00e3o, o Couchbase Capella gerencia dados operacionais, anal\u00edticos, de IA e m\u00f3veis, ao mesmo tempo em que simplifica a utiliza\u00e7\u00e3o desses dados para fluxos de trabalho de IA,<a href=\"https:\/\/www.couchbase.com\/blog\/pt\/\">dentro da mesma plataforma<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Estes fluxos de trabalho de dados de IA s\u00e3o para onde a complexidade migrou para os desenvolvedores, pois eles incluem:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>prepara\u00e7\u00e3o de dados<\/li>\n\n\n<li>vetoriza\u00e7\u00e3o<\/li>\n\n\n<li>engenharia de prompt e cache<\/li>\n\n\n<li>intera\u00e7\u00f5es do modelo, inclusive no dispositivo<\/li>\n\n\n<li>cache de resposta<\/li>\n\n\n<li>armazenamento de transcri\u00e7\u00f5es<\/li>\n\n\n<li>valida\u00e7\u00e3o de resposta<\/li>\n\n\n<li>gerenciamento de guardrails<\/li>\n\n\n<li><a href=\"https:\/\/docs.nvidia.com\/nim\/large-language-models\/latest\/models.html\"><img loading=\"lazy\" decoding=\"async\" class=\"alignright wp-image-16903\" src=\"https:\/\/www.couchbase.com\/wp-content\/uploads\/sites\/5\/2026\/05\/nvidia-nim-for-llms-2.png\" alt=\"NVIDIA NIM for LLMS\" width=\"284\" height=\"289\"><\/a>desenvolvimento de agentes e reuso de c\u00f3digo<\/li>\n\n\n<li>governan\u00e7a de agentes<\/li>\n\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">A solu\u00e7\u00e3o combinada aprimora e, ao mesmo tempo, simplifica os recursos de gera\u00e7\u00e3o aumentada por recupera\u00e7\u00e3o (RAG) do Capella, permitindo que os clientes alimentem com efici\u00eancia aplicativos de alta vaz\u00e3o alimentados por IA, mantendo a flexibilidade do modelo. Com o acesso ao framework NeMo, os desenvolvedores obt\u00eam uma vasta gama de ferramentas de produtividade e modelos em um \u00fanico ambiente.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Eles passam ent\u00e3o a ter acesso a mais de <a href=\"https:\/\/docs.nvidia.com\/nim\/large-language-models\/latest\/models.html\">30 modelos da BigCode, Microsoft, NVIDIA, Mistral, Meta e Google via NIM<\/a>. Com o NVIDIA AI Enterprise, os desenvolvedores podem criar, treinar e ajustar modelos para aplica\u00e7\u00f5es espec\u00edficas e, em seguida, desfrutar dos benef\u00edcios da acelera\u00e7\u00e3o habilitada por GPU na implanta\u00e7\u00e3o.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">As empresas est\u00e3o lutando para confiar em IA por v\u00e1rios motivos<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Organiza\u00e7\u00f5es que criam e implantam aplica\u00e7\u00f5es de IA de alto rendimento enfrentam desafios para garantir a confiabilidade e a conformidade dos agentes, e evitar que eles se desviem de seu caminho operacional pretendido. Esse desvio ocorre por v\u00e1rios motivos, al\u00e9m dos \u00f3bvios, como vazamentos de dados de PII ou alucina\u00e7\u00f5es baseadas em modelos. O desvio pode acontecer com o tempo, pois os modelos podem simplesmente mudar de opini\u00e3o e, portanto, suas respostas e conclus\u00f5es, com base na evolu\u00e7\u00e3o de seu treinamento, bem como na evolu\u00e7\u00e3o dos dados contidos em seus prompts.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">N\u00e3o apenas isso, mas os modelos frequentemente mant\u00eam por engano um contexto conversacional que n\u00e3o \u00e9 mais v\u00e1lido dentro de uma conversa ativa. A Capella e o NVIDIA AI Enterprise podem ajudar os desenvolvedores a criar barreiras de prote\u00e7\u00e3o mais r\u00edgidas e agentes mais intencionais que se desviam com menos frequ\u00eancia, mant\u00eam o contexto adequado ao longo do tempo e, portanto, t\u00eam o desempenho esperado por seus criadores. Por exemplo, as transcri\u00e7\u00f5es das conversas dos agentes devem ser capturadas e comparadas em tempo real dentro do NIM para avaliar a precis\u00e3o da resposta do modelo.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">IA segura sem compromissos<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Nossa solu\u00e7\u00e3o conjunta oferece uma maneira segura e r\u00e1pida para as organiza\u00e7\u00f5es criarem, implantarem e evolu\u00edrem aplicativos potencializados por IA. A solu\u00e7\u00e3o da NVIDIA aproveita LLMs pr\u00e9-testadas e ferramentas, incluindo <a href=\"https:\/\/docs.nvidia.com\/nemo\/guardrails\/\">NVIDIA NeMo Guardrails<\/a> para ajudar as organiza\u00e7\u00f5es a acelerar o desenvolvimento de IA enquanto aplicam pol\u00edticas e salvaguardas contra alucina\u00e7\u00f5es de IA, enquanto o Capella ajuda a manter a mem\u00f3ria de curto e longo prazo da IA por meio de cache e armazenamento de transcri\u00e7\u00f5es, ao mesmo tempo em que seu desempenho e proximidade com os modelos e a infraestrutura de execu\u00e7\u00e3o reduzem as lat\u00eancias de conversa\u00e7\u00e3o, o que \u00e9 cr\u00edtico para a implanta\u00e7\u00e3o de agentes. A execu\u00e7\u00e3o nos microsservi\u00e7os NIM da NVIDIA, rigorosamente testados e prontos para produ\u00e7\u00e3o, cria a capacidade de as empresas atenderem aos requisitos de privacidade, desempenho, escalabilidade e lat\u00eancia com suas aplica\u00e7\u00f5es de agentes.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Um \u00faltimo benef\u00edcio<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Matt McDonough, nosso SVP de Produto e Parceiros, resume o valor de nossa colabora\u00e7\u00e3o ao observar:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><i>As empresas exigem uma plataforma de dados unificada e de alto desempenho para fundamentar seus esfor\u00e7os de IA e apoiar o ciclo de vida completo da aplica\u00e7\u00e3o \u2013 do desenvolvimento \u00e0 implanta\u00e7\u00e3o e otimiza\u00e7\u00e3o. Ao integrar os microsservi\u00e7os NVIDIA NIM ao Capella AI Model Services, estamos oferecendo aos clientes a flexibilidade de executar seus modelos de IA preferidos de maneira segura e governada, ao mesmo tempo em que proporcionamos melhor desempenho para cargas de trabalho de IA e integra\u00e7\u00e3o perfeita de IA com dados transacionais, anal\u00edticos, de IA e m\u00f3veis. O Capella AI Services permite que os clientes acelerem suas aplica\u00e7\u00f5es RAG e baseadas em agentes com confian\u00e7a, sabendo que podem dimensionar e otimizar suas aplica\u00e7\u00f5es \u00e0 medida que as necessidades de neg\u00f3cios evoluem.<\/i><\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Esta solu\u00e7\u00e3o combinada da NVIDIA e da Couchbase n\u00e3o apenas ajuda desenvolvedores a implantar, dimensionar e otimizar aplica\u00e7\u00f5es baseadas em agentes de forma mais r\u00e1pida e segura, como tamb\u00e9m ajuda o DevOps a acelerar e gerenciar o AgentOps \u2013 a implanta\u00e7\u00e3o de agentes juntamente com modelos otimizados, desempenho de baixa lat\u00eancia, seguran\u00e7a empresarial, governan\u00e7a, observabilidade e seguran\u00e7a. E para l\u00edderes de projeto e respons\u00e1veis pelo or\u00e7amento, nossa solu\u00e7\u00e3o combinada permite que suas organiza\u00e7\u00f5es maximizem o retorno sobre o investimento (ROI) dessas iniciativas de IA, combinando as vantagens de desempenho e consolida\u00e7\u00e3o de dados do Capella, obtidas pela proximidade com o ambiente NVIDIA AI Enterprise, tudo operando em uma infraestrutura acelerada pela NVIDIA. Talvez n\u00e3o haja combina\u00e7\u00e3o melhor para maximizar o ROI da intelig\u00eancia artificial.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Visite-nos na NVIDIA GPU Technology Conference<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.youtube.com\/watch?v=Orn7RX1_uy8\"><img loading=\"lazy\" decoding=\"async\" class=\"size-medium wp-image-16905 alignleft\" src=\"https:\/\/www.couchbase.com\/wp-content\/uploads\/sites\/5\/2026\/05\/nvidia-gtc-300x137-1.png\" alt=\"NVIDIA GTC event\" width=\"300\" height=\"137\"><\/a>Couchbase \u00e9 um patrocinador prata em <a href=\"https:\/\/www.nvidia.com\/gtc\/\">NVIDIA GTC<\/a>, que acontecer\u00e1 de 17 a 24 de mar\u00e7o em San Jose, CA. Para saber mais sobre como o trabalho da Couchbase com a NVIDIA acelera o desenvolvimento de aplica\u00e7\u00f5es de IA ag\u00eantica, <b>passe no estande 2004<\/b>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Saiba mais sobre <a href=\"https:\/\/www.couchbase.com\/blog\/pt\/products\/ai-services\/\">Servi\u00e7os de IA Capella<\/a> e cadastre-se para o <a href=\"https:\/\/info.couchbase.com\/capella-ai-services-signup?_gl=1*1um4fsw*_gcl_aw*R0NMLjE3MzAxNTEyNTguQ2owS0NRanc3UHk0QmhDYkFSSXNBTU14LV9MeWlNd2FhenNnMWtsY0FxWUtHNW9XZjFyUDQ5dmV5MnQ0NTBmWV8ydmJmdVpIcU51YUNoMGFBcnBfRUFMd193Y0I.*_gcl_au*MTk4MjUxODczMS4xNzMwOTE5NDc0\">visualiza\u00e7\u00e3o privada<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><\/h3>\n\n\n\n<h3 class=\"wp-block-heading\">Recursos adicionais<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Leia mais sobre como <a href=\"https:\/\/www.couchbase.com\/blog\/pt\/press-releases\/couchbase-capella-to-accelerate-agentic-ai-application-development-with-nvidia-ai\/\">essa integra\u00e7\u00e3o acelera o desenvolvimento de aplica\u00e7\u00f5es de IA ag\u00eantica<\/a><\/li>\n\n\n<li>Aprenda como <a href=\"https:\/\/www.couchbase.com\/blog\/pt\/press-releases\/couchbase-introduces-capella-ai-services-to-streamline-development-of-agentic-ai-applications\/\">Os Servi\u00e7os de IA do Capella capacitam desenvolvedores a criarem aplica\u00e7\u00f5es ag\u00eanticas<\/a><\/li>\n\n\n<li>Explorar <a href=\"https:\/\/developer.nvidia.com\/nemo-guardrails#section-how-it-works\">NVIDIA NeMo Guardrails<\/a><\/li>\n\n\n<li>Use LLMs com seguran\u00e7a com dados propriet\u00e1rios <a href=\"https:\/\/blogs.nvidia.com\/blog\/nemo-large-language-models-enterprise-data\/\">Dados Empresariais no NVIDIA NeMo<\/a><\/li>\n\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Capella AI Services alongside NVIDIA AI Enterprise Couchbase is working with NVIDIA to help enterprises accelerate the development of agentic AI applications by adding support for NVIDIA AI Enterprise including its development tools, Neural Models framework (NeMo) and NVIDIA Inference Microservices (NIM). Capella adds support for NIM within its AI Model Services and adds access [&hellip;]<\/p>\n","protected":false},"author":62223,"featured_media":4571,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_acf":"","footnotes":"","_ppma_block_editor_authors":""},"categories":[754,598,178,301],"tags":[728,856],"ppma_author":[416],"class_list":["post-4572","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-data-plane","category-artificial-intelligence-ai","category-connectors","category-cloud","tag-llms","tag-nvidia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.6 (Yoast SEO v28.6) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development - The Couchbase Blog<\/title>\n<meta name=\"description\" content=\"Couchbase and NVIDIA team up to make agentic applications easier and faster to build, to feed with data, and to run.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.couchbase.com\/blog\/pt\/nvidia-enterprise-ai-in-capella-ai-services\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development\" \/>\n<meta property=\"og:description\" content=\"Couchbase and NVIDIA team up to make agentic applications easier and faster to build, to feed with data, and to run.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.couchbase.com\/blog\/pt\/nvidia-enterprise-ai-in-capella-ai-services\/\" \/>\n<meta property=\"og:site_name\" content=\"The Couchbase Blog\" \/>\n<meta property=\"article:published_time\" content=\"2025-02-24T13:50:13+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.couchbase.com\/blog\/wp-content\/uploads\/sites\/5\/2026\/05\/blog-couchbase-nvidia-ai-services.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2400\" \/>\n\t<meta property=\"og:image:height\" content=\"1256\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Jeff Morris, VP Product Marketing\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@JeffMMorris\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jeff Morris, VP Product Marketing\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nvidia-enterprise-ai-in-capella-ai-services\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nvidia-enterprise-ai-in-capella-ai-services\\\/\"},\"author\":{\"name\":\"Jeff Morris, VP Product Marketing\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#\\\/schema\\\/person\\\/d64e614a24acc9ed36e77607fc2fb647\"},\"headline\":\"Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development\",\"datePublished\":\"2025-02-24T13:50:13+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nvidia-enterprise-ai-in-capella-ai-services\\\/\"},\"wordCount\":850,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nvidia-enterprise-ai-in-capella-ai-services\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/wp-content\\\/uploads\\\/sites\\\/5\\\/2026\\\/05\\\/blog-couchbase-nvidia-ai-services.png\",\"keywords\":[\"LLMs\",\"NVIDIA\"],\"articleSection\":[\"AI Data Plane\",\"Artificial Intelligence (AI)\",\"Connectors\",\"Couchbase Capella\"],\"inLanguage\":\"pt-BR\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nvidia-enterprise-ai-in-capella-ai-services\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nvidia-enterprise-ai-in-capella-ai-services\\\/\",\"url\":\"https:\\\/\\\/www.couchbase.com\\\/blog\\\/nvidia-enterprise-ai-in-capella-ai-services\\\/\",\"name\":\"Couchbase and NVIDIA Team Up to Help Accelerate Agentic Application Development - 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