Digital storage and memory feeds AI at the 2026 CES
By Tom Coughlin | 4 min read
At CES 2026 vendors highlighted storage and memory innovations designed to accelerate AI workloads, including denser NVMe drives, computational storage, and new persistent-memory configurations. The article stresses that data movement and locality are becoming the primary bottlenecks for training and inference at scale, not just raw compute. Advances showcased aim to reduce latency and energy per operation, enabling larger models closer to data sources and more capable edge deployments. The piece underscores supply-chain and standards considerations that will determine which technologies see broad adoption.
