# AI Factory ## The Data Foundation for your AI Factory An AI factory turns data into intelligence. Cloudian is the storage layer that feeds it—delivering your data to the GPUs at line rate, across every stage of the AI lifecycle, on-premises and under your control. S3-native, exabyte-scale, and validated in the NVIDIA stack. [Talk to an AI Factory Expert](/schedule-a-demo/)[Read Blog](https://cloudian.com/blog/cloudian-hyperstore-achieves-nvidia-certified-storage/) ![image](https://cloudian.com/wp-content/uploads/2026/06/ai-factory-hero.png)## Thedata foundationfor every token your AI factory produces. Cloudian delivers exabyte-scale, S3-native storage with multi-tenancy, government-verified security, and direct GPU access over RDMA – validated in the NVIDIA stack and built for the full AI lifecycle, from first file ingested to last token served. ## What an AI Factory Needs from Storage AI factories are built for one purpose: to manufacture intelligence at scale. They tightly integrate accelerated compute and AI software to generate tokens—the output of every model—across the full lifecycle. That lifecycle runs on data. Every token a factory produces traces back to data that has to be stored, secured, and delivered to the GPUs fast enough to keep them working. Cloudian is the persistent data tier beneath the AI factory. It holds the training data, the model checkpoints, the embeddings and vectors, and the source content your models reason over—then moves that data to the GPUs over RDMA at the speed accelerated computing demands. ![image](https://cloudian.com/wp-content/uploads/2026/06/ai-factory-needs.png)## Validated Solution ### NVIDIA-Certified Solution Cloudian HyperStore has earned NVIDIA-Certified Storage status, verifying performance and interoperability for AI workloads on NVIDIA accelerated computing. [Talk to an AI Factory Expert](/schedule-a-demo/) ![image](https://cloudian.com/wp-content/uploads/2026/06/nvidia-cert-with-border.png)![image](https://cloudian.com/wp-content/uploads/2026/06/design-with-border.png)### AI Factory Validated Design Cloudian HyperStore is validated with an NVIDIA Certified Storage Foundation-level Reference Architecture. As a validated storage partner, Cloudian fits the full-stack guidance NVIDIA provides for building and deploying on-premises AI factories—reducing integration risk and accelerating the path to production. [NVIDIA Reference Architecture](/lp/nvidia-reference-architecture/) ### Reference Architectures Cloudian HyperStore offers reference architectures which specify compute, networking, and storage optimized for AI—giving your team tested configurations that simplify deployment and shorten time to value. Cloudian offers reference architectures for Supermicro and Lenovo server platforms. [Supermicro Reference Architecture](https://cloudian.com/lp/cloudian-supermicro-reference-architectures/)[Lenovo Reference Architecture](https://cloudian.com/lp/cloudian-lenovo-reference-architecture/) ![image](https://cloudian.com/wp-content/uploads/2026/06/logos-with-border.png)## Storage for theFull AI Lifecycle A single namespace serves every stage of the factory—no copies, no migrations between systems, no silos. ![image](https://cloudian.com/wp-content/uploads/2026/06/ai-storage.png)![image](https://cloudian.com/wp-content/uploads/2026/06/ingest-icon.svg)### INGEST Land unstructured data at scale—documents, images, audio, video, sensor and machine data—through the S3 API your pipelines already speak. Cloudian becomes the system of record for everything your factory will learn from. ![image](https://cloudian.com/wp-content/uploads/2026/06/train-icon.svg)### TRAIN Stream massive datasets to the GPUs over RDMA with the throughput and concurrency that training demands, keeping accelerators fed and utilization high. ![image](https://cloudian.com/wp-content/uploads/2026/06/fine-tune-icon.svg)### FINE TUNE Hold checkpoints, versioned datasets, and domain corpora in one governed location, so teams can iterate on models without standing up separate storage. ![image](https://cloudian.com/wp-content/uploads/2026/06/infer-icon.svg)### INFER Serve embeddings, vectors, and source content to retrieval-augmented and agentic applications at low latency—then capture and reload context to accelerate long-thinking inference. ## High Performance with RDMA HyperStore supports RDMA for S3-compatible storage, delivering throughput of up to 35GB/s per node (read) while reducing CPU utilization by up to 90%. Data moves directly from storage to GPU memory, bypassing CPU bottlenecks—so the accelerators that cost the most stay busy doing the work that matters. With RDMA for S3 integration, that direct path is built in. The result is lower latency, higher GPU utilization, and faster insight from massive datasets—the difference between a factory that runs at capacity and one that waits on its data. [Get Solution Brief](/rdma-for-s3-compatible-storage/) ![image](https://cloudian.com/wp-content/uploads/2026/06/high-performance.png)![image](https://cloudian.com/wp-content/uploads/2026/06/AI-workflows-S3-compatible.png)## Industry’s Most Complete S3-Compatible Platform Most AI and ML tools speak the S3 API. To run trouble-free with them, you want the platform with the deepest S3 fidelity—not an adapter layer. Cloudian HyperStore was built from the ground up for the S3 API. The AWS SDK is our SDK. That native foundation means your factory’s tools just work: AI and ML frameworks like PyTorch and TensorFlow, streaming platforms like Apache Kafka, and high-performance analytics engines connect to Cloudian without custom integration—so data scientists build models instead of plumbing. ## Multi-Tenancy for Shared Factory Infrastructure An AI factory serves many teams, models, and workloads at once. Cloudian lets them share one platform safely. Fully separate namespaces give each tenant isolated data within a shared pool, with access controls, per-tenant configuration, and QoS that prevent one workload from compromising or starving another. The result: higher utilization of the infrastructure you’ve invested in, lower cost per workload, and security that holds even when the factory is busy. ![image](https://cloudian.com/wp-content/uploads/2026/06/AI-workflows-multi-tenancy.png)![image](https://cloudian.com/wp-content/uploads/2026/06/exabyte-scalability.png)## Exabyte Scalability AI factories grow. Cloudian HyperStore scales out to exabytes with high concurrency, so you add capacity and throughput as your data and model footprint expand—without forklift upgrades or migrations. Whether you’re running batch training pipelines or always-on inference, the platform delivers the scale and performance to keep deriving value from your data. ## Government-Verified Security Your factory’s data is among your most valuable assets, and increasingly your most regulated. Cloudian protects it with data encryption, Secure Shell intrusion protection, S3 Object Lock immutability to defend against ransomware, and the most complete set of security certifications in object storage. Tenant data is isolated from other tenants and from the service provider, with a zero-trust posture that keeps sensitive data sovereign and compliant—on-premises, where you can prove where it lives. ![image](https://cloudian.com/wp-content/uploads/2026/06/security.png)![image](https://cloudian.com/wp-content/uploads/2026/06/better-token.png)## Better Token Economics, On Your Terms NVIDIA accelerated computing is measured in tokens per watt and return on the infrastructure investment. Storage decides how much of that potential you capture. By offloading work from CPUs over RDMA, keeping GPUs fed, and running efficiently at exabyte scale on-premises, Cloudian raises the utilization of the factory’s most expensive resources—and keeps your data, and its costs, under your control rather than a cloud provider’s meter. ## Extensive Support forAI/ML and Analytics Tools Learn more about how the Cloudian AI data platform integrates seamlessly with popular AI/ML and analytics tools to provide you with secure, scalable storage that supports your most data-intensive workflows. ![Pytorch-logo](https://cloudian.com/wp-content/uploads/2024/05/Pytorch-logo-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Why Cloudian for PyTorch](/blog/storage-for-pytorch/) - ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[How to Deploy Cloudian with PyTorch](/blog/how-to-deploy-cloudian-s3-compatible-storage-with-pytorch/) ![tensorflow_logo](https://cloudian.com/wp-content/uploads/2024/05/tensorflow_logo_2-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Why Cloudian for TensorFlow](/blog/tensorflow-workloads-gain-scalable-capacity-with-a-cloudian-ai-data-lake/) - ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[How to Deploy Cloudian with TensorFlow](https://youtu.be/5vqvNY5VATY) ![kafka-logo](https://cloudian.com/wp-content/uploads/2024/05/kafka-logo-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Kafka with Cloudian Case Study](/blog/fleet-management-firm-gains-storage-for-apache-kafka-data/) - ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[How to Deploy Cloudian with Kafka](/blog/how-to-deploy-on-prem-storage-for-kafka/) ![storage for druid](https://cloudian.com/wp-content/uploads/2024/05/druid-logo-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Why Cloudian for Druid](/blog/building-a-data-analysis-platform-with-apache-druid-and-a-cloudian-data-lake/) - ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Druid with Cloudian Case Study](/blog/major-telco-deploys-cloudian-storage-for-memsql-and-apache-druid/) ![Splunk_logo](https://cloudian.com/wp-content/uploads/2024/05/Splunk_logo-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Why Cloudian for Splunk](/splunk/) - ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[How to Deploy Cloudian with Splunk](/resource/demos-and-videos/splunk-smartstore-with-cloudian-hyperstore/) ![Cribl-logo](https://cloudian.com/wp-content/uploads/2024/05/Cribl-logo-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Why Cloudian for Cribl](/solutions/cribl-stream-with-cloudian-hyperstore-s3-data-lake/) - ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[How to Deploy Cloudian with Cribl](/blog/build-a-modern-observability-platform-with-cribl-and-cloudian/) ![Snowflake_Logo](https://cloudian.com/wp-content/uploads/2024/05/Snowflake_Logo-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Why Cloudian for Snowflake](/solutions/data-lakehouse/on-prem-data-lake-with-snowflake-and-cloudian/) ![dremio-logo](https://cloudian.com/wp-content/uploads/2024/05/dremio-logo-1.svg)- ![image](https://cloudian.com/wp-content/uploads/2024/08/list-icon.svg)[Why Cloudian for Dremio](/dremio-and-cloudian-unified-lakhouse-platform/) Enterprise AI Unleashed – Transform Unstructured Data into AI Intelligence with NVIDIA and Cloudian [Watch Webinar →](http://ZZCj9lwm_zs)![image](https://cloudian.com/wp-content/uploads/2026/06/nvidia-logo.png)“Enterprises are realizing that they’re sitting on a big gold mine and that gold mine happens to be data…but they don’t know how to build an optimized pipeline or how to mine the data in a better way…so this out of the box solution is something that is really helpful that…[Cloudian] brings to the table.”​​ ![image](https://cloudian.com/wp-content/uploads/2026/06/ashutosh-nvidia.png) Ashutosh MalegaonkarSenior Director, Networking, NVIDIA ## Related Resources ![image](https://cloudian.com/wp-content/uploads/2024/07/data-sheet.png)DATASHEET Cloudian HyperStore Software-Defined Storage Cloudian HyperStore 8 is a unified file and object data management platform ideal for diverse, performance-intensive workloads. [Download Data Sheet](https://data.cloudian.com/l/677273/2020-05-21/6ltw7/677273/1687797990iEgUMziW/Cloudian_HyperStore_Software_Data_Sheet__1_.pdf)![image](https://cloudian.com/wp-content/uploads/2026/06/rdma-thumb.png)SOLUTION BRIEF High Performance Object Storage for AI Cloudian HyperScale®️ with RDMA for S3 offers a groundbreaking high-performance object storage that meets the unique requirements of AI workloads. [Download Solution Brief](https://data.cloudian.com/SB-1012b-RDMAforS3)![image](https://cloudian.com/wp-content/uploads/2025/02/futurion-thumb-sm.png)REPORT Object Storage in the AI Era Futuriom – Object Storage in the AI Era: Emerging Trends and Players [Read Report](https://cloudian.com/lp/futuriom-object-storage-in-ai-era/)![image](https://cloudian.com/wp-content/uploads/2024/08/retailer-splunk-ai-data-lake.png)CASE STUDY Retailer Streamlines Splunk Data w/ Cloudian AI Data Platform A global retailer integrated Cloudian’s S3-compatible AI data lake with Splunk, achieving significant cost savings and enhanced data availability. [Read Case Study](https://cloudian.com/blog/global-retailer-streamlines-splunk-data-analytics-with-a-cloudian-ai-data-lake/)![image](https://cloudian.com/wp-content/uploads/2024/08/kt-ai-cloud.png)CASE STUDY KT Cloud’s Strategic Move to Cloudian AI Data Platform This case study showcases how KT Cloud’s integration of Cloudian AI Data Lake on Lenovo servers transformed their cloud storage capabilities. [Read Case Study](https://cloudian.com/blog/kt-clouds-strategic-move-to-a-cloudian-ai-data-lake-on-lenovo/)