Once datasets reside in CoreWeave AI Object Storage, users gain access to a unified global dataset, reducing unnecessary costs, time, and resources associated with data replication and sprawl. Additionally, CoreWeave’s Local Object Transport Accelerator (LOTA) technology delivers an impressive 7 GB/s per GPU throughput, regardless of the data’s location. This combination provides unmatched cost efficiency and cross-cloud flexibility, addressing the demands of large-scale, multi-cloud AI workloads.
“Today’s industry standard for data storage is not designed for the era of AI, where massive datasets need to move fast and freely within and between clouds. Penny pinching egress and transfer fees do little but slow down innovation,” said Peter Salanki, Co-Founder and Chief Technology Officer of CoreWeave. “With AI Object Storage and 0EM, CoreWeave is creating the most supportive and performant cloud ecosystem for AI data management, eliminating physical, digital, and financial barriers to progress.”
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The 0EM program supports secure, end-to-end validated data migrations from major cloud providers, including AWS, Azure, Google Cloud, IBM, and Alibaba. Customers can maintain active accounts with these providers during and after migration, avoiding any exit penalties. A dedicated dashboard allows users to track migration progress in real-time, including performance metrics and data integrity checks, ensuring complete transparency throughout the process.
Chris Goddard, Co-Founder and Chief Technology Officer at Hologen, emphasized, “CoreWeave AI Object Storage powers the kind of low-latency, high-throughput data access our large scale ML training workloads demand, helping us process and stream complex datasets without security or performance trade-offs. And without any egress fees, we’re free to move data in and out of CoreWeave and innovate without limits.”
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Xander Dunn, Member of Technical Staff at Periodic Labs, added, “CoreWeave AI Object Storage delivers the throughput and reliability our research pipelines depend on, balancing speed and efficiency across active and inactive data. It’s allowed us to experiment faster while keeping costs under control.”
With 0EM, CoreWeave continues to consolidate essential AI tools on a single cloud platform, from high-performance computing and multi-cloud compatible data storage to the software layers required for AI development, testing, and deployment. This follows the recent launch of ServerlessRL, the first fully managed reinforcement learning solution. CoreWeave’s technology consistently sets performance benchmarks, demonstrated by its top Platinum ranking in both SemiAnalysis ClusterMAX 1.0 and 2.0 and its leadership in MLPerf AI workload evaluations.
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