CoreWeave is launching three critical capabilities that make cross-cloud AI easier and more accessible whether by network, storage, or compute—offering CoreWeave Interconnect, SUNK Anywhere, and LOTA Cross-Cloud.
Additionally, the company is introducing new integrations between the Weights & Biases tools and Google Cloud. Customers such as 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, the company said.
CoreWeave is partnering 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.
According to the company, 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.
"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.
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, the company said.
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, said the vendor.
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.
A training job is only as strong as the data it can reach. CoreWeave AI Object Storage is built to accelerate data access using CoreWeaves’s patented Local Object Transport Accelerator (LOTA) technology to place data directly onto GPU nodes.
LOTA Cross-Cloud, now in limited availability for workloads on Google Cloud and other providers, extends CoreWeave’s patented AI caching technology beyond a single environment. It gives teams consistent, high-throughput data access across regions and clouds, without forcing them into a specific infrastructure footprint, the company said.
For teams ready to move data closer to high-performance infrastructure, CoreWeave’s Zero Egress Migration (0EM) program simplifies the process. Customers can move large-scale datasets from major cloud providers directly to CoreWeave through a secure, white-glove service with CoreWeave covering the egress fees when leaving their existing cloud.
Once data is in CoreWeave AI Object Storage, customers will not pay CoreWeave egress fees, regardless of where that data is used and can leverage LOTA Cross-Cloud to get local data throughput anywhere the job needs to run, said CoreWeave.
For more information about this news, visit www.coreweave.com.