US EditionLexar Unveils Industry's First AI Storage Core for Next‑Generation Edge AI Devices
Lexar's AI Storage Core offers up to 4 TB and hot-swappable design, enhancing real-time data handling and cross-device portability for edge AI systems, Gartner forecasts 143 million AI PCs in 2026.
- On Nov. 26, 2025, Lexar, a leading high-performance memory brand, introduced the AI Storage Core with up to 4 TB capacity and a hot-swappable design in San Jose, Calif.
- As AI computing shifts to the edge, devices like AI PCs, intelligent vehicles, and robotics face real-time throughput demands while traditional storage becomes a critical bottleneck.
- Lexar engineered the AI Storage Core with a co-engineered thermal solution and Longsys' integrated rugged packaging for dustproof, waterproof, shock- and radiation-resistant protection.
- The new module promises to speed model loading and real-time multimodal sensor ingestion, supporting PCIe boot and enabling intelligence, identity, and security upgrades across consumer, industrial and automotive applications.
- Gartner forecasts 143 million AI PC shipments in 2026, positioning demand for edge AI storage growth as select wide-temperature and rugged models meet autonomous driving and outdoor robotics needs.
19 Articles
19 Articles
Lexar Unveils Industry's First AI Storage Core for Next‑Generation Edge AI Devices
SAN JOSE, Calif., Nov. 26, 2025 /PRNewswire/ -- As AI computing moves rapidly from the cloud to the edge, devices such as AI PCs, intelligent vehicles, and robotics face mounting storage challenges: real-time multimodal data throughput, extreme random I/O workloads,…
Lexar Unveils Industry's First AI Storage Core for Next‑Generation Edge AI Devices
SAN JOSE, Calif., Nov. 26, 2025 /PRNewswire/ -- As AI computing moves rapidly from the cloud to the edge, devices such as AI PCs, intelligent vehicles, and robotics face mounting storage challenges: real-time multimodal data throughput, extreme random I/O workloads,…
Lexar Unveils Industry's First AI Storage Core for Next‑Generation Edge AI Devices
SAN JOSE, Calif., Nov. 26, 2025 /PRNewswire/ -- As AI computing moves rapidly from the cloud to the edge, devices such as AI PCs, intelligent vehicles, and robotics face mounting storage challenges: real-time multimodal data throughput, extreme random I/O workloads,…
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