In 2026, AI training workloads will dominate global DRAM demand, overshadowing traditional computing needs. Generative AI models like GPT-5 will rely heavily on memory technologies such as High-Bandwidth Memory (HBM), making HBM the backbone of AI systems. Meanwhile, consumer electronics will s...
Source: [Dev.to](https://dev.to/patilanupam/spaghettifying-dram-how-ai-workloads-are-reshaping-memory-architecture-challenges-in-2026-2jh9)