CoreWeave and Google Cloud are collaborating to enable customers to run AI workloads across both cloud infrastructures.

To achieve this, CoreWeave has launched "CoreWeave Interconnect," a fiber-based network interconnect that directly links CoreWeave's cloud infrastructure to Google Cloud.

According to CoreWeave, the interconnect offering minimizes latency and improves reliability and security through built-in MACsec encryption. To connect with Google Cloud, it uses Google's Partner Cross-Cloud Interconnect, thus enabling engineers to run both training and inference workloads across both CoreWeave and Google Cloud's AI infrastructure.

"Collaborating with Google Cloud extends the reach of CoreWeave's AI-native platform through Google's global network," said Chen Goldberg, EVP of product and engineering at CoreWeave. "CoreWeave Interconnect introduces a solution to a problem that has prevented organizations from reaching across clouds to leverage AI resources. By removing the friction of cross-cloud, we are making it simpler and faster for organizations to run workloads anywhere.”

“Google’s Cross-Cloud Network removes cloud boundaries, making it easier to build distributed, AI-powered services,” added Rob Enns, VP/GM of cloud networking at Google Cloud. “Collaborating with CoreWeave and using our Partner Cross-Cloud Interconnect gives customers the secure, low-latency connectivity needed to simplify complex cross-cloud workloads and accelerate AI outcomes.”

The offering will soon be available in "private preview," with CoreWeave planning to roll out the solution in select regions.

In conjunction with CoreWeave Interconnect, the company is also launching LOTA Cross-Cloud to enable workloads to run across cloud environments, regardless of where the data is stored.

LOTA is CoreWeave's patented Local Object Transport Accelerator technology that places data directly onto GPU nodes. By bringing data closer to compute, the storage solution offers near-local throughput of up to seven GBps per GPU.

With LOTA Cross Cloud, currently offered in limited availability, workloads will have high-throughput data access across regions and clouds, making for more efficient training work, and also removing egress fees.

Multicloud solutions are seeing increasing traction among the hyperscalers. In late 2025, Amazon Web Services revealed that the company was working with Google Cloud to partner on multicloud networking to create a "more open cloud environment."

Oracle led the way for taking multicloud seriously, with its Oracle Database@ offerings that are now available with AWS, Microsoft Azure, and Google Cloud. That offering saw Oracle hardware actually deployed in partner data centers, and has continued to expand since first being launched with Microsoft in late 2023.