
Our Use Cases:
Virtualization, Containerisation, Orchestration
Introduction
For hypervisors (Proxmox, VMware) or container clusters (Kubernetes). Multi-tenant with flexible resources.
Customer Values
High core, multithreading, memory stability, redundancy, virtualization.
Rule of Thumb
RAM 4–8GB/VM; Storage 100–300GB SSD/workload; CPU 1–4 cores/VM
Websites and Applications
Introduction
For websites, APIs, SaaS hosting.
Customer Values
Strong per-core, fast I/O, balanced memory, stable bandwidth.
Rule of Thumb
RAM 1–2GB/user; Storage 50–100GB/site; CPU 2–4 cores/site.
Hyperconverged Infrastructure (HCI)
Clustered compute + software-defined storage (vSAN, Ceph).
Balanced compute/memory/storage, high-speed interconnects.
Storage and Backup
Backup, cold storage, archival. Cost-effective capacity.
High storage, redundancy, energy efficiency.
Big Data and Analytics
For Hadoop, Spark, ClickHouse, ingestion/processing.
Compute density, memory throughput, fast I/O, bandwidth.
AI, Machine Learning, Deep Learning
For training/deploying ML models (TensorFlow, PyTorch).
GPUs, large RAM, NVMe, PCIe bandwidth.
Database (SQL, NoSQL)
For PostgreSQL, MySQL, MongoDB.
Low latency, high IOPS, strong per-core.
High Performance Computing (HPC)
For simulation, physics, parallel research clusters.
Max cores, multi-GPU, fast scratch storage, ultra-fast networking.