Scaling Performance with Ultrastar Data60 and Data102 Hybrid Storage Platform and ATTO H12F0 GT HBAs
ATTO Technology and Western Digital deliver a high-density, flexible storage solution that addresses explosive data growth while maximizing data-center floor space and eliminating performance bottlenecks. The Ultrastar Data60 (up to 60 drives) and Data102 (up to 102 drives) 4U Hybrid Storage Platforms pair with ATTO’s ExpressSAS H12F0 GT 12Gb/s SAS Host Bus Adapter to create a scalable Just a Bunch of Disks (JBOD) architecture optimized for both capacity-driven and performance-sensitive workloads.
Populate the platforms with high-capacity SATA SMR HDDs for maximum density and lowest cost-per-TB—ideal for archival, backup, and data-lake environments—or with dual-port SAS CMR HDDs for superior random I/O, predictable latency, and consistent high-bandwidth throughput suited to analytics, media workflows, and active repositories. The ATTO H12F0 GT (16 external ports, PCIe 4.0) provides highly optimized data streaming and low-latency connectivity, enabling sustained end-to-end performance and seamless scalability (daisy-chain up to four units for multi-petabyte deployments).
Solution Benefits:
- Extreme density in a compact 4U form factor (petabyte-scale per enclosure; multi-PB with daisy-chaining)
- Flexible drive choice—SATA SMR for cost-efficient capacity or SAS CMR for high availability and performance
- ATTO Advanced Data Streaming (ADS™) technology and PCIe 4.0 connectivity that remove bottlenecks in dense environments
- Enterprise reliability features including Western Digital IsoVibe™ vibration isolation and ArcticFlow™ cooling, plus hot-swappable redundant components
- Reduced total cost of ownership through efficient scaling, dual- or single-port options, and validated high-throughput configurations
Together, the Ultrastar Data60/Data102 platforms and ATTO H12F0 GT HBAs give organizations a proven, adaptable storage foundation that balances capacity, performance, availability, and cost for modern data-intensive workloads.