Overview

Cloudian AI Workflows builds on the scalable and secure HyperStore object storage platform, tailored specifically for AI workloads. It offers exabyte‐scale capacity, full S3 API compatibility, multi-tenancy, and military-grade security. Native integration with NVIDIA GPUDirect enables direct GPU access to storage, boosting performance and reducing latency. Seamlessly compatible with frameworks like PyTorch, TensorFlow, Kafka, Apache Arrow, and Triton, it supports comprehensive AI/ML pipelines in a unified, on-prem or hybrid environment.

Features and Capabilities

• Exabyte‑Scale Object Storage: Handles massive unstructured datasets typical for AI training and inference.
• NVIDIA GPUDirect Storage: Enables direct storage-to-GPU data flow with over 200 GB/s throughput while easing CPU load by ~45%.
• 100% S3 API Compatibility: Ensures seamless integration with popular ML tools, SDKs, and services using standard S3.
• Multi‑Tenancy & Security: Fully isolated namespaces with strong access controls, encryption, Object Lock, and SSH protection.
• Metadata‑Rich Cataloging: Supports object tags, versioning, metadata search, and enables feature stores/vector/model stores.
• Integration with ML Tools: Compatible with PyTorch, TensorFlow, Kafka, Apache Arrow, Splunk, Druid, Cribl, Snowflake, Milvus, and NVIDIA Triton.
• Hybrid & Geo‑Distributed Architecture: Offers deployment flexibility on-prem, hybrid, geo-distributed setups for global AI infrastructures.
• Military‑Grade Data Protection: Features encryption at rest/in transit, high durability, ransomware resilience, and regulatory compliance.