Technological Changes in the Industry Over the Past 5 Years

Industry Analysis

February 22, 2026

Structures key technological shifts and their impact across industry activities

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Technological Changes · 1for.ai
Period: 2020–2025 AI Infrastructure / GPU Cloud / Data Center Compute 12 functions assessed
4 High Impact
6 Medium Impact
2 Low Impact
Compute Hardware
High
Networking / Interconnect
High
Cooling & Power Infra
High
Software / MLOps Stack
High
Energy & Power Mgmt
Medium
Storage & Memory
Medium
Security & Compliance
Medium
Sales & Distribution
Medium
Operations / Monitoring
Medium
Supply Chain
Medium
Workforce / Talent
Low
Regulatory / Certification
Low
Compute Hardware
A100 → H100 → H200 → B200/GR200
10–30× throughput per generation. NVL72 multi-GPU systems. HBM3e memory integration.
Networking / Interconnect
IB HDR → NDR (400 Gb/s)
NVLink 4.0. RDMA at scale. Spine-leaf fabric standard for AI clusters.
Cooling & Power Infra
Air → Direct Liquid Cooling
Immersion cooling pilots. PUE compressed from 1.5 → sub-1.1 targets.
Software / MLOps
CUDA ecosystem + K8s orchestration
Slurm, Ray. Containerisation. Managed inference APIs standardised.
Structural Alignment · 1for.ai
DLC + BTM hydro directly intersects the two High-impact structural shifts: Cooling (air→DLC, PUE sub-1.1) and Energy/Power Management (behind-the-meter renewable sourcing). NVIDIA GR200 NVL72 adoption positions 1for.ai at the current hardware frontier.