{"id":9562,"date":"2026-04-23T22:27:14","date_gmt":"2026-04-24T02:27:14","guid":{"rendered":"https:\/\/hostingdiscussion.com\/news\/?p=9562"},"modified":"2026-04-23T22:27:14","modified_gmt":"2026-04-24T02:27:14","slug":"ibm-google-cloud-team-up-to-fix-multicloud-mess-enterprises-keep-hitting","status":"publish","type":"post","link":"https:\/\/hostingdiscussion.com\/news\/ibm-google-cloud-team-up-to-fix-multicloud-mess-enterprises-keep-hitting\/","title":{"rendered":"IBM, Google Cloud team up to fix multicloud mess enterprises keep hitting"},"content":{"rendered":"

Enterprise technology teams have been telling both IBM<\/a> and Google Cloud<\/a> the same thing for a while now: modernizing core systems while running AI across multiple clouds without introducing new layers of operational complexity is harder than it should be. Both companies heard that clearly enough to do something about it, deepening a collaboration that puts their respective strengths into a more unified working arrangement rather than leaving customers to bridge the gap themselves.<\/p>\n

The practical capabilities arriving from this partnership address problems that enterprise IT teams run into regularly. IBM’s watsonx.data platform<\/a> is now available through Google Cloud Marketplace, giving organizations a way to manage real-time, unstructured, and multimodal data for AI workloads at scale without juggling separate vendor relationships.<\/p>\n

Red Hat OpenShift<\/a>, including Red Hat OpenShift Virtualization, integrates directly through the Google Cloud Console, which simplifies onboarding for teams running both virtual machines and containers while unifying billing and letting customers apply committed Google Cloud spend toward those workloads.<\/p>\n

HashiCorp Terraform Enterprise, Vault, and Consul also land on Google Cloud Marketplace through this collaboration, covering infrastructure automation, secrets management, and service orchestration across cloud environments. Confluent Cloud, the managed Apache Kafka service, joins the same marketplace, supporting real-time data architecture for organizations building next-generation data pipelines. Red Hat Lightspeed Agent for Google Cloud extends that further into developer productivity, complementing ongoing infrastructure automation work between the two companies.<\/p>\n

Looking further ahead, IBM and Google Cloud are actively working to integrate Gemini models and Gemini Enterprise with IBM’s software portfolio, which would bring both companies’ AI capabilities into closer alignment for joint customers. Native integration of HashiCorp Terraform within Google Cloud Infrastructure Manager sits on the near-term roadmap as well, targeting the infrastructure automation complexity that slows multicloud deployments considerably.<\/p>\n

The honest truth sitting underneath all of this is straightforward. No single vendor solves the hybrid cloud and AI challenge alone, and enterprises running mission-critical workloads across multiple environments know that from direct experience. By combining IBM’s hybrid cloud<\/a> and automation depth with Google Cloud’s AI infrastructure<\/a> and Red Hat’s cloud-native foundation, the collaboration removes friction at the points where enterprise AI adoption most commonly stalls.<\/p>\n","protected":false},"excerpt":{"rendered":"

Enterprise technology teams have been telling both IBM and Google Cloud the same thing for a while now: modernizing core systems while running AI across multiple clouds without introducing new layers of operational complexity is harder than it should be. Both companies heard that clearly enough to do something about it, deepening a collaboration that […]<\/p>\n","protected":false},"author":20624,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[6458,1793,1781,402,6459,5593],"class_list":["post-9562","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-ai-enterprise","tag-google-cloud","tag-hybrid-cloud","tag-ibm","tag-multicloud-modernization","tag-red-hat-openshift"],"acf":[],"yoast_head":"\nIBM, Google Cloud team up to fix multicloud mess enterprises keep hitting - Web Hosting News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/hostingdiscussion.com\/news\/ibm-google-cloud-team-up-to-fix-multicloud-mess-enterprises-keep-hitting\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IBM, Google Cloud team up to fix multicloud mess enterprises keep hitting - Web Hosting News\" \/>\n<meta property=\"og:description\" content=\"Enterprise technology teams have been telling both IBM and Google Cloud the same thing for a while now: modernizing core systems while running AI across multiple clouds without introducing new layers of operational complexity is harder than it should be. 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