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 ...
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 ...
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 ...
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 ...