Blog
Dual Controller, Cache, and BBU in Storage Systems: Why They Are Needed and How They Affect Fault Tolerance
Dual controller is only part of a reliable storage design. Here is how cache protection, BBU, multipathing and failover checks determine real storage availability.
June 29, 2026
35 min to read
Entry-Level or Mid-Range Storage: When is PowerVault/MSA Enough, and When is PowerStore, Nimble, or OceanStor Required?
Entry-level or mid-range storage? This guide helps you choose the right class for virtualization, databases, VDI, backups and disaster recovery without overpaying or underestimating risk.
June 26, 2026
29 min to read
FC, iSCSI, or SAS: Which Storage Connection Interface Should You Choose for Servers?
FC, iSCSI or SAS — which storage connection interface makes sense for your server environment in 2026? We compare architectures, use cases, hidden costs and common mistakes ⚙️
June 25, 2026
26 min to read
GPU Server for Rendering, 3D, and Video: How It Differs from an AI Server
🎬 A rendering and video GPU server is not just a cheaper AI server. This article explains which GPUs, storage, RAM, networking and codecs matter most for 3D studios and video production in 2026.
June 24, 2026
32 min to read
GPU Server for RAG and Corporate Chatbot: What's Important Besides the Video Card?
🤖 Choosing a GPU server for RAG? This article explains the hidden bottlenecks beyond the graphics card: document processing, vector search, memory, storage, access control, and scaling.
June 23, 2026
29 min to read
A ready-made GPU server or a custom configuration: when to buy a standard model and when to build one for the task
⚙️ A standard GPU server can speed up deployment and reduce compatibility risks, while a custom build is better for 4–8 GPUs, large VRAM, fast storage, and cluster growth. This guide explains how to choose without overpaying.
June 22, 2026
30 min to read
PCIe, SXM, HGX, and DGX: What's the Difference Between GPU Server Platforms and When You Need Each
PCIe, SXM, HGX or DGX — which GPU server platform fits your AI workload in 2026? We explain the difference between GPU form factor, OEM platform and turnkey NVIDIA system.
June 18, 2026
31 min to read
1, 2, 4, or 8 GPUs in a Server: How to Choose a Configuration for LLM, Inference, Training, and Rendering
We compare GPU server configurations for real workloads: internal LLM assistants, multi-model inference, fine-tuning, rendering farms and VDI. See when 8 GPUs make sense and when 1–4 GPUs or several smaller servers are the better choice.
June 16, 2026
32 min to read
How to read NVIDIA server graphics card specs: CUDA, Tensor Cores, TFLOPS, bus, bandwidth, and TDP
💡 Don’t choose an NVIDIA server GPU by TFLOPS or memory size alone. This guide explains which specs really matter for AI, training, VDI, rendering and scientific workloads in 2026.
June 15, 2026
25 min to read