CoreWeave Unveils AI Object Storage, Redefining How AI Workloads Access and Scale Data
Industry-Leading Storage Service Purpose-Built for AI Workloads Delivers Local-Like Performance, Global Availability, and More Than 75 Percent
AI performance hinges on data mobility – timing and access to the right data can make or break innovation. High-performance AI training relies on large datasets located near GPU compute clusters. Conventional cloud storage is not engineered for that level of throughput or flexibility, leaving developers constrained by latency, complexity, and cost.
“As the essential cloud for AI, every decision at every layer is focused on optimizing for efficiency and performance,” said
Unlike traditional object storage, which is constrained to one portion of your IT infrastructure, CoreWeave AI Object Storage performance scales as AI workloads grow and maintains superior throughput across distributed GPU nodes from any region, on any cloud, or on-premises. Private interconnects, direct cloud peering, and 400 GBps-capable ports ensure the data integrity of trillions of objects for workloads across the globe. This multi-cloud networking backbone ensures developers everywhere get the same high-throughput GPU performance without dealing with data sprawl or resource-heavy data replication.
CoreWeave is also introducing three automatic, usage-based pricing tiers that provide more than 75 percent lower storage costs for our existing customers’ typical AI workloads. With no egress, request, or tiering fees, the new model gives customers greater flexibility and visibility, aligning costs directly with usage while constantly maintaining CoreWeave’s unmatched performance and simplicity. This makes CoreWeave AI Object Storage one of the most cost-efficient, developer-friendly storage options in the industry.
“At Replicate, our mission is to make it simple for developers to run and share machine learning models at scale. That requires storage that is both fast and flexible across environments,” said
Today’s announcement marks the latest step in CoreWeave’s ongoing expansion of its software ecosystem. Last week, CoreWeave announced ServerlessRL, the first publicly available, fully managed reinforcement learning capability. CoreWeave fosters a diverse and open AI ecosystem, with its technology team consistently setting new standards for performance, demonstrated by the company’s industry-leading MLPerf benchmark for AI workloads and Platinum rating in the SemiAnalysis ClusterMAX™ system.
CoreWeave is committed to redefining what it means to power AI. The company’s cloud platform unites the essential tools from high-performance computing to the critical software layer builders rely on to develop, test, and deploy AI at scale. CoreWeave continues to expand its capabilities through organic innovation, by supporting founders with capital and compute through
In the automotive sector, CoreWeave serves as the Official AI Cloud Computing Partner of the Aston Martin Aramco Formula One® Team, supporting the development of the team’s first large-scale cloud computing facility.
Additional Supporting Quotes:
“With cross-region and cross-cloud acceleration, CoreWeave is delivering what developers need most: consistent, high-throughput access to a single dataset without replication,” said
“While benchmarking LMCache with Cohere to store large volumes of KV-cache across a distributed cluster, we were truly impressed by the performance of LOTA, the technology behind CoreWeave AI Object Storage. Its speed and scalability are key to minimizing time-to-first-token (TTFT) and maximizing LLM throughput—regardless of context size,” said Juchen Jiang, CEO, Tensormesh.
About CoreWeave
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in
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