Foundation
Arcfra
Cloud Operating
System
Functions as a host operating system on top of which Arcfra Virtualization Engine and Arcfra Block Storage can be installed. It also supports integration with VMware ESXi.
Reduce IT Redundancy
Instantly build small-scale clusters on any compatible servers. Scale-out & upgrade with ease.
Uncompromised Support
Deliver strong performance and reliability for your applications in production environments.
Boosted Strong Performance
with Deep Optimization
Well-designed and optimized fully distributed architecture.
Boost I/O efficiency with data localization, I/O path optimization, and RDMA protocol.
Hot/cold data auto-tiering.
Maximize performance on a 3-node cluster 1:
11M+ IOPS
4K Random Read
130+ GiB/s
Sequential Read
<100 μs
4K Random Read Latency
Ensured High Availability
with Comprehensive Mechanisms
HA mechanism tailored for disks, nodes, racks, and data centers intra-city and cross-city.
VM high availability for both Arcfra and VMware virtualization platforms.
Scalable and Flexible
By Design
Easy scale-out and automatic capacity rebalance.
Heterogeneous hardware support.
Rapid VM deployment and full-lifecycle management.
Wide Compatibility
with No Vendor Lock-in
Mainstream x86 hardware support.
Next Steps
Learn more about Arcfra Enterprise Cloud Platform and its capabilities.
Discover the Platform >Get to the details. Check the specifications.
View Specs >Dive deep into the tech documentation.
View Docs >See for yourself. Talk with our experts.
Book a Demo >Read our latest news, blogs, and FAQs.
Read Blogs >Check out complete resource library and download free ebooks.
View Resource Library >- Performance Disclaimer: Performance data is based on internal testing with specific hardware configurations (Intel platform, 3-node Arcfra cluster, ACOS 6.3 + 4 Instances); actual results may vary depending on system environment, workloads, and hardware specifications. This configuration represents the maximum performance tier observed in the test. Please note that +4 Instances will result in higher CPU and memory consumption. This trade-off is necessary to achieve peak I/O density and throughput. Optimal performance is subject to system environment conditions and overall cluster health.