CoreWeave Announces Zero Egress Migration

New program is available in response to surging demand for CoreWeave’s purpose-built AI cloud, saving clients greater than 1,000,000 {dollars} for typical knowledge migrations

CoreWeave, Inc. (Nasdaq: CRWV), The Essential Cloud for AI, immediately introduced the launch of its Zero Egress Migration (0EM) program — a real no-egress-fee knowledge migration program — enabling clients to maneuver large-scale datasets from third-party cloud suppliers on to CoreWeave’s cloud with out technical friction. Through 0EM, CoreWeave will cowl egress charges for AI workloads from third-party cloud networks for the preliminary migration with out further egress charges. CoreWeave will provide a completely managed service making certain safe, end-to-end validated, and high-speed knowledge migrations.

Once buyer knowledge is saved in CoreWeave AI Object Storage, they’ll have entry to a single world dataset, stopping further capital, time, and useful resource waste from knowledge replication and knowledge sprawl. They may even profit from CoreWeave’s Local Object Transport Accelerator (LOTA) expertise, which delivers 7 GB/s per GPU throughput, no matter the place the information is situated. This mixture delivers industry-leading price financial savings and cross-cloud flexibility to fulfill the realities of large-scale, multi-cloud AI workloads.

“Today’s {industry} normal for knowledge storage isn’t designed for the period of AI, the place huge datasets want to maneuver quick and freely inside and between clouds. Penny pinching egress and switch charges do little however decelerate innovation,” mentioned Peter Salanki, Co-Founder and Chief Technology Officer of CoreWeave. “With AI Object Storage and 0EM, CoreWeave is creating probably the most supportive and performant cloud ecosystem for AI knowledge administration, eliminating bodily, digital, and monetary obstacles to progress.”

The 0EM program ensures safe, end-to-end validated knowledge migrations and is suitable with third-party cloud suppliers, together with AWS, Azure, Google Cloud, IBM, Alibaba, and others. Customers are capable of retain lively accounts with third-party cloud suppliers throughout and after the migration and won’t incur any exit penalties from CoreWeave afterwards. CoreWeave additionally offers a dashboard enabling clients to watch the information migration in real-time, offering visibility into migration progress, efficiency metrics, and knowledge integrity checks.

“CoreWeave AI Object Storage powers the sort of low-latency, high-throughput knowledge entry our giant scale ML coaching workloads demand, serving to us course of and stream advanced datasets with out safety or efficiency trade-offs. And with none egress charges, we’re free to maneuver knowledge out and in of CoreWeave and innovate with out limits,” mentioned Chris Goddard, Co-Founder & Chief Technology Officer at Hologen.

“CoreWeave AI Object Storage delivers the throughput and reliability our analysis pipelines rely on, balancing pace and effectivity throughout lively and inactive knowledge. It’s allowed us to experiment sooner whereas protecting prices underneath management,” mentioned Xander Dunn, Member of Technical Staff at Periodic Labs.

With this newest addition of 0EM, CoreWeave continues to unite the important instruments for AI on one cloud platform, from high-performance computing to multi-cloud suitable knowledge storage to the essential software program layer builders depend on to develop, take a look at, and deploy AI at scale. Last month, CoreWeave introduced ServerlessRL, the primary publicly obtainable, totally managed reinforcement studying functionality. CoreWeave’s expertise group constantly units new requirements for efficiency, demonstrated by the corporate’s industry-leading MLPerf benchmark for AI workloads and its place as the one AI cloud to earn the highest Platinum rating in each SemiAnalysis ClusterMAX 1.0 and a pair of.0, which is taken into account the definitive score system for AI cloud efficiency, effectivity and reliability.

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