Reframing the AI Storage Challenge
Every iteration of AI innovation runs headlong into the same challenge—data. Models get faster, more capable, and more compute-intensive, but the infrastructure supporting them has not kept pace. Across clouds, regions, and tiers, data remains fragmented, slow, and costly to move. AI teams are forced to duplicate datasets, manage unpredictable egress bills, and engineer brittle caching systems, all just to keep their GPUs from idling. The result? Innovation throttled by storage systems that were never designed for the demands of AI.
At CoreWeave, we believe data mobility should be as dynamic as the AI workloads it powers. That belief led us to build CoreWeave AI Object Storage, our industry-leading, fully managed storage service purpose-built for AI. Powered by our Local Object Transport Accelerator (LOTA) technology, CoreWeave AI Object Storage eliminates the friction of moving data between regions, clouds, and tiers. It combines simplicity, scalability, and transparency, offering throughput of up to 7 GB/s per GPU, zero fees (egress, ingress, or request), and automated, usage-based billing levels that cut existing customers’ costs by more than 75%. Whether you’re training, fine-tuning, or serving models across global environments, CoreWeave AI Object Storage keeps your GPUs busy, your data accessible everywhere, and your innovation in motion.
How CoreWeave AI Object Storage Delivers Maximum Performance for AI Workloads
CoreWeave AI Object Storage is a fully managed object storage service built specifically to maximize throughput for AI workloads. Unlike general-purpose storage, it was engineered for the unique demands of AI, using a distributed architecture that separates compute from storage while preserving ultra-low-latency data access. Data is distributed across GPU nodes, enabling highly parallelized reads and writes. This design allows it to deliver up to 7 GB/s per GPU, performance unmatched in the industry. With the ability to scale to hundreds of thousands of GPUs, enterprise-grade durability (11 nines), built-in observability with Prometheus and Grafana, and full S3 compatibility, CoreWeave AI Object Storage accelerates large language model training, post-training, and reinforcement learning workflows, reducing both time and costs while enabling faster iteration and innovation.
CoreWeave AI Object Storage’s performance is powered by Local Object Transport Accelerator (LOTA), a proxy service that runs on the nodes of GPU clusters, acting as an S3 endpoint and also creating a local cache across the disks on GPU nodes. While traditional storage often requires customers to build separate caching layers that add operational overhead and new points of failure, LOTA is an industry-leading, AI-specific caching technology embedded directly into the storage service. It intelligently stages frequently accessed objects close to the compute, across regions and clouds, ensuring that GPUs are continuously fed with the data they need during both training and fine-tuning. Thanks to LOTA, the unmatched performance benefits from our industry-leading throughput scale linearly even as AI workloads grow. While traditional object storage is limited to the availability zone or regional level, CoreWeave AI Object Storage sustains peak performance across any number of GPU nodes.
Another key feature of CoreWeave AI Object Storage is its automated, usage-based billing, which automatically assigns data to lower-cost pricing levels based on access frequency:
- Hot: Accessed in the last 7 days
- Warm: Accessed in the last 7-30 days
- Cold: Not accessed in 30+ days
This approach helps customers save time and money while maximizing ROI from purpose-built storage. With our new transparent, usage-based billing levels, CoreWeave AI Object Storage reduces our existing customer storage costs by more than 75% for typical AI workloads. Customers gain the flexibility to align storage costs with workload demands, without compromising the high performance they’ve come to expect from CoreWeave AI Object Storage.
The benefits compound: maximum GPU utilization, simplified infrastructure, and predictable economics thanks to transparent pricing without hidden fees. By combining performance innovations like LOTA with unmatched throughput and resilience, CoreWeave AI Object Storage ensures that data never becomes the bottleneck, empowering AI teams to scale with confidence and accelerate every stage of innovation.
Enhancing CoreWeave AI Object Storage with Cross-Region and Multi-Cloud Flexibility
The newest features announced for CoreWeave AI Object Storage enable CoreWeave customers to use data anywhere in our regions, in other clouds, and on premises. Until now, most organizations have been forced to replicate datasets into each region where workloads run. This practice increases costs dramatically while introducing the risk of data divergence. CoreWeave AI Object Storage eliminates that burden. Now, a single dataset can be accessed seamlessly from anywhere in the world with local disk performance wherever AI workloads run.
This capability is further enabled by CoreWeave’s multi-cloud-friendly, purpose-built for AI networking backbone, which combines private interconnects, direct cloud peering, and cross-region networking capable of up to 400 gigabits per second. Whether a workload is running in New York or London, developers can count on the same high-throughput access profile without needing to engineer complex replication strategies or manage massive data sprawl.
The advantages of this flexibility are significant. Rather than balancing multiple inconsistent copies of data, teams can work from a single source of truth, ensuring integrity, reducing costs, and simplifying workflows. For AI developers responsible for global-scale deployments, this feature eliminates one of the toughest challenges in infrastructure design: data portability. And since LOTA technology is already powering acceleration in every CoreWeave region, teams can benefit from the industry-leading performance wherever their workload is located. As LOTA acceleration expands to other clouds and on-premises environments (scheduled for early 2026), its industry-leading throughput will be even more widely available. CoreWeave AI Object Storage datasets can be accessed from third-party clouds with the same performance guarantees as in CoreWeave regions.
Cross-region and multi-cloud access mark a fundamental shift in AI storage. For years, data gravity and punitive egress fees have dictated where workloads could run. With this update, our customers’ data becomes portable and truly multi-cloud. A model can be trained on CoreWeave and fine-tuned or deployed on another cloud without dataset replication or loss of performance. And critically, this portability is achieved without egress, ingress, or request fees, continuing CoreWeave’s commitment to transparent, customer-friendly pricing.
For teams building the next frontier of AI, expanded data portability unlocks an entirely new level of flexibility. Infrastructure can be designed based on performance, cost, and compliance considerations, not dictated by storage limitations.
Delivering Maximum Performance
While global accessibility is essential, performance remains the ultimate benchmark for storage designed for AI. CoreWeave AI Object Storage continues to set the industry standard, delivering throughput of up to 7 GB/s per GPU scaling across hundreds of thousands of GPUs, which translates to orders of magnitude higher throughput than the performance of conventional object storage. In practice, this fast throughput means clusters with hundreds of thousands of expensive GPUs remain fully utilized rather than waiting idly for data. Training cycles shrink, inference pipelines accelerate, and overall efficiency improves dramatically.
Ensuring Reliability and Security
AI workloads also demand rock-solid reliability and robust security. CoreWeave AI Object Storage guarantees 99.9% uptime and is designed for eleven nines of durability, ensuring data is always available and protected. Encryption at rest and in transit is standard, and authentication and policies with role-based access and SAML/SSO support allow for seamless identity federation across enterprises. These capabilities are paired with observability through integrated Grafana dashboards and Prometheus endpoints, giving AI teams full visibility into throughput, latency, cache efficiency, and error rates.
Powering the Next Frontier of AI
These latest CoreWeave AI Object Storage enhancements represent a significant step forward in the evolution of AI infrastructure. Increased access—cross-region, multi-cloud, and on-premises— is not just a new capability. It’s an architectural enabler that redefines what’s possible when building at scale. Combined with unmatched performance, industry-leading reliability, and proven validation from pioneers in the field, the latest CoreWeave AI Object Storage stands as the foundation for the next era of AI innovation.
For AI developers tasked with bridging the gap between ambitious AI projects and practical infrastructure, CoreWeave AI Object Storage offers a clear path forward: faster time-to-market, lower total cost of ownership, and the confidence that storage will always keep pace with compute.
Accelerate your next breakthrough with object storage for the AI era.
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