Articles by SERVERMALL
There are about 20 years left until AGI and ASI: why an AI uprising is still far away
A sharp, engineering-first breakdown of why AGI timelines collide with real limits in compute, energy, and hardware rather than hype cycles.
June 18, 2026
19 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
30 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
MIG on NVIDIA A100/H100/H200: How to Share a Single Graphics Card Between Multiple Tasks
⚙️ Need to share one powerful GPU between teams, services and models? This guide explains MIG in plain language, with profiles, limits and real deployment examples for A100, H100 and H200.
June 11, 2026
27 min to read
Zero Trust and 20 Features for Your Cybersecurity P.2
A practical guide to building more resilient infrastructure, reducing attack opportunities, detecting threats earlier, and limiting the damage when prevention alone is no longer enough.
June 10, 2026
12 min to read
HBM vs. GDDR in Server Graphics Cards: Why the A100/H100 Use One Memory, and the L40S/RTX PRO Uses Another
🧠 HBM or GDDR — what matters most in a server GPU? Using NVIDIA A100, H100, L40S and RTX PRO as examples, we explain when memory bandwidth is critical and when a more versatile GPU makes better business sense.
June 9, 2026
27 min to read
OEM, Original, NVL, Max-Q, and Workstation Edition: What do the NVIDIA GPU designations mean?
⚡ OEM, Original, NVL, Max-Q and Workstation Edition may look like small additions to an NVIDIA GPU name, but they affect power, cooling, compatibility and warranty. This article explains how to read these labels before buying.
June 8, 2026
23 min to read
NVIDIA H100, H200, and A100 for LLM: Memory, Bandwidth, and Usage Scenario Comparison
A practical guide to choosing the right NVIDIA GPU for LLMs: A100 for budget pilots, H100 for performance, H200 for memory-heavy inference.
June 4, 2026
26 min to read