Compute-storage integrated array server
AntRock
Product photo
Built for edge compute. A compute-storage integrated architecture with low-power, high-density deployment and multi-node array coordination that cuts data movement, backed by distributed clustering for compute and inference workloads.
Core capabilities
Capability directions; formal specifications, capacity and interfaces follow official materials.
Compute-storage integration
- Compute and storage sit side by side, cutting data movement between memory and processors
- Shorter retrieval paths for remote data, markedly faster data access and response
- Less energy spent moving data, so more compute per watt for edge sites
Array cluster deployment
- Array nodes scale on demand, so capacity grows with the business
- Multi-unit stacking yields high compute density per unit of rack space
- Balanced cluster load with faulty-node isolation keeps services running
Low-power hardware design
- Hardware-level power tuning lowers electricity cost over long duty cycles
- Lower power means less heat, simpler cooling and lower facility investment
- Runs reliably in edge sites with limited space and constrained power
Product applications
Planned capability directions; formal specifications, capacity and interfaces follow official materials.
Compute & storage coordination
For workloads that process and retain data together, plan compute and storage around access patterns.
Nodes & data transport
Discuss the deployment approach around inter-node data flow, bandwidth and expansion needs.
Local data management
Define the boundary between on-site processing and cloud collaboration based on retention, access and maintenance.
Product status
Compute side
Compute resources are physically coupled with storage media, delivering both compute and distributed storage.
Storage side
A planned direction for distributed block, file and object storage; capacity, media and interfaces follow formal materials.
If you are planning a selection, share your data scale and deployment conditions for fit and capacity planning.
Prepare these details before contacting us
Data sources, hot/cold data ratio, access frequency and capacity growth.
Node count, transport method, synchronisation requirements and fault tolerance.
Installation space, O&M staffing, replacement approach and data retention requirements.
Product resources
The product line overview is available; the formal AntRock datasheet is not yet public.
Product matrix and solution overview, v0.1; downloadable once complete.
In preparationLearn the status of your materials and the assessment schedule.
Ask for product resources →Ask about AntRock
Share your data scale and deployment conditions so we can assess the compute-storage plan and next steps.