CoreWeave Announces New Capabilities to Simplify Cross-Cloud AI

Unlocking cross-cloud AI | CoreWeave Blog

Announcement

Announcement

Webinar

Announcement

Podcast

Announcement

GTC 2026

Announcement

CoreWeave brings up the industry’s first NVIDIA Vera Rubin NVL72 deployment.

Read more

Products

Data and storage

Infrastructure control

Runtime acceleration

Model and agent development

Mission control

Solutions

Pricing

Resources

About us

Contact us Login

Contact us Login

Clear

As models scale to trillions of parameters—and pipelines become more distributed—AI pioneers are quickly moving toward high-performance, cross-cloud architectures. This enables them to efficiently leverage compute and storage resources everywhere. To maximize the impact and improve ROI of these valuable resources, today’s platform engineers are increasingly designing for cross-cloud training and inference. This flexibility allows them to balance performance, reliability, cost, and geographic flexibility to more rapidly deploy AI workloads. In the AI era, different requirements govern these cross-cloud architectures. Many organizations originally deployed multi-cloud for resiliency. Now teams are seeking speed, agility, and throughput to maximize the impact of their accelerated platforms. That’s why today, we are announcing CoreWeave Interconnect, SUNK Anywhere and LOTA Cross-Cloud, as three critical capabilities that make cross-cloud AI easier and more accessible whether by network, storage, or compute. We also have new integrations between the Weights & Biases tools and Google Cloud. Customers like Noble Machines, and PathAI are using Weights & Biases tools on Google Cloud to accelerate AI workflows. With new integrations between the Weights & Biases tools and Google Cloud, customers can observe agents and continuously improve their reliability. Revolutionizing cloud interconnect for the AI era Building cross-cloud infrastructure remains complex, time-consuming, and costly. Traditional approaches involve extensive planning and provisioning, expensive networking infrastructure, and intricate routing and security configurations. As training and inference workloads become increasingly distributed across different clouds, infrastructure engineers are looking for faster, more efficient ways to connect and operate these environments. For example, connecting two clouds typically requires organizations to rely on third-party providers, as shown in Figure 1. This results in operating across three separate environments, with added complexity from circuit provisioning, routing policies, security validation, performance testing, and observability. It also introduces additional contracts to manage and negotiate. These deployments often take months to complete, typically increase network latency, and create new points of failure. They may also lack capabilities such as link-layer encryption and require ongoing upgrades, ultimately driving up total cost of ownership.

Traditional cloud networking requires working with a provider for connectivity To address these challenges, we’re collaborating with Google Cloud to launch CoreWeave Interconnect, a private high-performance fiber-based network interconnect that directly connects CoreWeave Cloud to Google Cloud—without the complexity of managing additional equipment and providers. CoreWeave Interconnect minimizes latency, helps ensure maximum reliability, and delivers built-in security through MACsec encryption at line rate. Available in private preview soon, CoreWeave Interconnect will be available in select regions, giving customers the flexibility to select the bandwidth they need.

CoreWeave Interconnect helps simplify connectivity with Google Cloud "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.” CoreWeave Interconnect leverages Google Cloud’s Partner Cross-Cloud Interconnect to create a unified cross-cloud network fabric, empowering developers to run their training and inference workloads wherever they are needed. “Google’s Cross-Cloud Network removes cloud boundaries, making it easier to build distributed, AI-powered services,” says 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.” With a global footprint of 44 data centers worldwide, CoreWeave Cloud is built with an extensive private, carrier-grade network backbone secured with MACsec encryption over terrestrial and subsea fiber optic cabling. By unifying an IP and optical network to connect CoreWeave data centers, we offer extensive 400Gbps to terabits of capacity over our backbone network.

CoreWeave’s global backbone connects 44 active data centers CoreWeave’s connectivity offerings gives infrastructure engineers the ability to simplify cloud networking and build a cross-cloud network fabric designed to accelerate their training and inference deployments everywhere. Organizations benefit from CoreWeave’s high-performance, high-capacity network backbone. And with no data transfer fees across our network or at egress, customers avoid unexpected costs and budget overruns that can otherwise limit innovation. Simplifying cross-cloud training with SUNK Anywhere Cross-cloud AI training creates new capacity and flexibility, but it also potentially introduces fragmentation unless teams carry the same training system across environments. SUNK Anywhere extends CoreWeave’s unified training system to support GPU environments across clouds or on-premises, giving teams a more consistent way to scale beyond a single deployment. CoreWeave’s SUNK combines the agility and scale of Kubernetes with the orchestration power of Slurm, and has been a powerful tool available on CoreWeave infrastructure. Now, platform and research teams can add capacity anywhere, including Google Cloud, AWS, or Azure without rebuilding the workflows and operational model they already use on CoreWeave. Built to support demanding, long-running training jobs at massive scale, SUNK Anywhere…