See how the DRAM memory shortage links to HBM-first focus and consumer supply cuts, helping you avoid overpaying and time your buys.

Kaist professor Kim Jeong-ho predicts HBF overtakes HBM as AI memory by 2038 Memory-centric AI era accelerates as Kaists Kim ...

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, has successfully developed a prototype of a large-capacity, high-bandwidth flash memory module essential for large-scale ...

SanDisk on Wednesday introduced an interesting new memory that could wed the capacity of 3D NAND and the extreme bandwidth enabled by high bandwidth memory (HBM). SanDisk's high-bandwidth flash (HBF) ...

Agilex 7 FPGA M-Series Optimized to Reduce Memory Bottlenecks in AI and Data-intensive Applications SAN JOSE, Calif.--(BUSINESS WIRE)-- Altera Corporation, a leader in FPGA innovations, today ...

The debut of DeepSeek R1 sent ripples through the AI community, not just for its capabilities, but also for the sheer scale of its development. The 671-billion-parameter, open-source language model’s ...

Weaver—the First Product in Credo’s OmniConnect Family—Overcomes Memory Bottlenecks in AI Inference Workloads to Boost Memory Density and Throughput SAN JOSE, Calif.--(BUSINESS WIRE)-- Credo ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...