IBM Working Together with Google Cloud to Accelerate Enterprise AI and Hybrid Cloud Modernization

IBM Working Together with Google Cloud to Accelerate Enterprise AI and Hybrid Cloud Modernization

By bringing together AI capabilities from both companies, Google Cloud's strength in developer-centric design with IBM's strengths in hybrid cloud, data management, and automation, we can help clients build a more unified and flexible foundation for their AI and cloud strategies.

Across industries, we're hearing a consistent message from enterprise organizations: they need to modernize core systems, operationalize AI, and run workloads across multiple clouds without added complexity. Many of them want hybrid flexibility, predictable operations, and trusted AI, but integrating platforms, models, and tooling across cloud providers remains a major challenge.

This is where IBM's collaboration with Google Cloud can help to deliver real value. By bringing together AI capabilities from both companies, Google Cloud's strength in developer-centric design with IBM's strengths in hybrid cloud, data management, and automation, we can help clients build a more unified and flexible foundation for their AI and cloud strategies. This work is grounded in what clients have told us they need, which is interoperability, choice, and confidence that their systems will scale securely.

Rather than forcing a single path, this creates a more open, secure, and flexible foundation for hybrid cloud and AI transformation. It also aims to make it easier for clients to connect data, models, infrastructure, and operations across environments. This is a clearer and more practical approach to modernizing systems and deploying AI at scale.

Capabilities available today include:

• IBM watsonx.data is now available on Google Cloud Marketplace enabling enterprises to manage real-time, unstructured and multimodal data for AI at scale.
• HashiCorp Terraform Enterprise, Vault, and Consul are available in the Google Cloud Marketplace to help clients secure, automate, and orchestrate cloud services and workloads.
• Confluent Cloud, the fully managed Apache Kafka service, is available on Google Cloud Marketplace allowing customers to build next-gen data architectures with real-time, contextual data.
• Red Hat OpenShift, including Red Hat OpenShift Virtualization, is now accessible directly through the Google Cloud Console and available on Google Cloud Marketplace. For customers using both virtual machines (VMs) and containers, this simplifies onboarding, provides unified billing, and the ability for customers to apply their committed Google Cloud spend. Engineering teams have validated Red Hat OpenShift and Red Hat Enterprise Linux at Google Cloud scale, giving clients a stable hybrid foundation for modern workloads.
• Red Hat Lightspeed Agent for Google Cloud is extending developer productivity across environments and complementing ongoing joint work in infrastructure automation management.

Looking ahead, here are areas where clients will continue to see benefits:

• Advancing enterprise AI
  IBM and Google Cloud are working to integrate Google's AI solutions, including Gemini models and Gemini Enterprise, with key areas of IBM's software solution portfolio, bringing the best of both companies to bear for our joint clients.
• Making enterprise scale even easier
  IBM and Google are jointly working to further ease client operational complexity through native integration of HashiCorp Terraform within Google Cloud Infrastructure Manager to automate, standardize, and securely manage infrastructure.
• IBM products on Google Cloud
  Select IBM products and services are being designed for Google Cloud and made available through the Google Cloud Marketplace, helping clients make the most of their committed cloud spend.

At the heart of all this is a simple truth that enterprises need to run AI, automation, and mission-critical workloads across multiple environments while maintaining security, consistency, and a smooth operational experience. No single vendor solves that alone.

By combining IBM's hybrid cloud and AI platforms, Google Cloud's AI infrastructure and model capabilities, and Red Hat's cloud-native foundation, we can help remove the friction that slows down AI adoption and multi-cloud modernization by giving clients a clearer path to the impact they're ultimately trying to achieve.