By removing data throughput as a constraint, we've achieved 97% GPU utilization in large-scale training tests, far above the typical 50–60% rates seen in most setups.

GPU utilization rate delivered.

above industry standard rates.

performance matched in tests.

design based on real-world AI benchmarks.

Highlights

Unified Namespace & Intelligent Data Management

Unified Namespace

Our AI-optimized storage provides a single global namespace for all your data. Whether your data is in object storage or streaming, Atlas Cloud organizes it under one roof.

Intelligent Management

We track and index your data in detail to bring you features like instant snapshots, file cloning, and granular access control across the entire dataset.

Direct Access

Your AI models train directly on the source of truth data without tedious copies or ETL, and you maintain consistent data accessibility from training to inference.

GPU First Design

Our intelligent data tiering and caching ensure that hot data is always in the right place at the right time, so GPUs never run on empty.

Key Features

Technical Features at a Glance

Share Everything

All compute nodes access a common data pool simultaneously via NVMe-oF, maximizing throughput.

Fat-Tree Network Topology

High-bandwidth, low-latency network design eliminates congestion, ensuring every GPU can reach data at full speed.

NVMe Flash Storage & Caching

End-to-end NVMe storage with intelligent caching delivers multi-gigabyte per second throughput and massive IOPS, matching the performance of leading AI clouds (100 GB/s and 1M+ IOPS in industry tests).

Unified Namespace

A single global data namespace across cloud and on-prem environments simplifies data management and collaboration. No more data silos.

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