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Dataiku<\/a>, The Universal AI Platform\u2122, has announced the launch of the Dataiku AI Factory Accelerator to help enterprises move AI from prototype to production. Powered by NVIDIA, the solution integrates directly into Dataiku\u2019s governed platform, combining human expertise and AI reasoning to deliver trusted enterprise intelligence at scale.<\/p>\n\n\n\n The company revealed that the accelerator offers a faster and more reliable path to production-grade generative and agentic AI for businesses across industries.<\/p>\n\n\n\n Phil Coady, Chief Revenue Officer at Dataiku, said enterprises want to move beyond AI experiments to real business impact but often face challenges with complexity, compliance, and scalability. He stated that the Dataiku AI Factory Accelerator provides a faster and more trusted way to scale AI responsibly.<\/p>\n\n\n\n As enterprises race to operationalize AI, the collaboration between Dataiku and NVIDIA optimizes NVIDIA AI infrastructure, including NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs and NVIDIA networking. It combines Dataiku\u2019s governance and scalability with NVIDIA AI Enterprise software to support the development and scaling of agentic AI workflows in a governed environment.<\/p>\n\n\n\n The accelerator integrates NVIDIA AI Enterprise, NVIDIA NIM microservices, and NVIDIA CUDA-X Data Science libraries to enhance data science, model development, and inference within Dataiku\u2019s no-code to full-code environment.<\/p>\n\n\n\n This integration enables organizations to operationalize AI efficiently, leveraging GPU speed and enterprise-level governance. The Dataiku AI Factory Accelerator provides a unified foundation for developing and deploying AI at scale across sectors.<\/p>\n\n\n\n The first deployment will focus on financial services, building on the success of the Financial Services Blueprint. It empowers banks, insurers, and asset managers to deliver trusted, production-grade generative and agentic AI for key use cases such as:<\/p>\n\n\n\n Dataiku reported that the accelerator is also supported in the NVIDIA AI Factory for Government reference design, which aims to speed AI adoption in the public sector.<\/p>\n\n\n\n John Fanelli, Vice President of Enterprise Software at NVIDIA, said that enterprises and public sector organizations are seeking to integrate and operationalize AI to boost productivity. He added that the Dataiku AI Factory Accelerator, built with NVIDIA AI infrastructure and software, helps scale production AI for industries like financial services and government to support a wide range of workloads across the AI<\/a> application lifecycle.<\/p>\n\n\n\n <\/p>\n","protected":false},"excerpt":{"rendered":" Dataiku, The Universal AI Platform\u2122, has announced the launch of […]<\/p>\n","protected":false},"author":58,"featured_media":102610,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[147,9621],"tags":[1051],"contributor":[9732],"class_list":["post-102602","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-emerging-technologies","tag-vendors","contributor-news-desk"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2025\/11\/Dataiku-03.jpg","author_info":{"display_name":"Lubna","author_link":"https:\/\/techxmedia.com\/en\/author\/lubna\/"},"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n