MANGO KESAR-C
Powered by DAOSAI ClustersAll-Flash Storage. Built for AI.
From AI training to inference and agentic workloads, KESAR keeps every GPU fed with data. Consistent performance at any scale, on the Ethernet you already run.
Start Small. Scale More.
KESAR delivers unmatched performance within a remarkably compact footprint. Begin with the perfect configuration for today, and effortlessly expand your infrastructure at your own pace.
Unparalleled Performance. Scale-out Architecture.
Up to 300 GB/s of RoCEv2 bandwidth from a single 2U controller. Scale out linearly by adding controllers.
Day 1 Deployment. Install → Run → Done.
Pick a MASS preset and auto-configures your storage, so you reach production on day one, with no storage specialist and no manual tuning required at all.
Keep Your Data Available From the Unexpected.
The redundancy across every controller, network path and drive keeps your data always available.
Install. Connect. Done.
Manage your data, not storage.
One storage. Various interface.
KESAR exposes various native interfaces from a single backend, so AI training and HPC simulation share one storage, with no data copies and no app rewrites.
Block
NVMe-oF
RoCEv2 block · AI inference KV cache
File
libdfs / dfuse
POSIX file system · migrate as-is
AI
PyDAOS
Python / Jupyter · data science
HPC
HDF5 VOL
Scientific · weather · genomics
HPC
MPI-IO (ROMIO)
HPC parallel I/O · CFD · FEA
Deploy, monitor and manage from one screen.
MASS (Mango Accelerated Scalable Storage) is the GUI control plane for KESAR. Run the whole system from a single web dashboard, no command line required.
Unified Deployment
Bring controllers online and provision storage from one place.
Live Monitoring
Throughput, IOPS, latency and capacity across the system, in real time.
User Management
Integrate with LDAP or Google Workspace, with built-in and custom roles for fine-grained access.
Data Protection
Snapshot-based point-in-time recovery, backup and migration, plus non-disruptive rolling upgrades.
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Benchmark milestones, engineering deep-dives and company announcements.
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