DDR5 stays the tightest AI supply bottleneck as U.S. data-center power demand jumps
tengyanAI · x · 2026-07-22
An AI buildout desk update says DDR5 DRAM remains the tightest constraint in the AI supply chain, with HBM3e still second.
- BNEF now expects U.S. data center electricity demand to rise 83% by 2035, keeping power and interconnection as the long pole.
- Silicon Motion pushed its memory-shortage outlook through H2 2028, suggesting the DRAM squeeze is not short-lived.
- ABF substrate prices keep rising, adding more evidence that advanced packaging remains under pressure.
- The next watchpoints are Shin-Etsu, Disco, and BE Semiconductor results.
Related event: DDR5 and Power Emerge as Biggest Bottlenecks in AI Supply Chain(2 posts)→
More from Infra
- Sail equivalence proof and riscv-coq cross-checks uncover real RISC-V spec bugs — xennygrimmato_ · 2026-10-27
- xAI's Colossus 1 hits ~14.6 exaflops FP64, ~5x Top500 leader — cis_female · 2026-10-27
- Lambda runs 19 B200 nodes in a 16-node power budget, boosting throughput 24% — TheZachMueller · 2026-10-27
- Podcast: Micron's HBM roadmap, Meta's AI infra, and NVIDIA's supply chain lock-in — BenBajarin · 2026-10-27
- SGLang MegaKernel + PD Pushes the TCO-Latency Frontier on GB300, SemiAnalysis Benchmarks Show — AccBalanced · 2026-10-27
- Scaling self-hosted Convex: compiling TypeScript Convex functions to WASM — leventov · 2026-10-27