Strategic investment facilitates collaboration on next-generation AI infrastructure optimized for memory-intensive ...
Memory is no longer just supporting infrastructure; it's now become a primary determinant of system performance, cost and ...
Spiceworks on MSN
How AI workloads are redefining storage capacity planning
As artificial intelligence becomes more widely adopted, businesses are discovering that lack of expertise and compute ...
For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters and higher FLOPS drove the conversation to make the most of GPUs. This ...
Scientists are finding ways to merge biology with electronics, unlocking new possibilities for data storage and computing.
Tom's Hardware on MSN
Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times
The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.
Forbes contributors publish independent expert analyses and insights. For several years I have written a series of articles outlining my projections for various digital storage and non-volatile memory ...
Global memory markets are entering a new restructuring cycle driven by AI demand, with China's YMTC and CXMT scaling capacity ...
Opinion
The battery linchpin: Why energy storage is the only the only way to safely power the AI boom
Utility-scale battery storage capacity is projected to reach 24.3 GW of new additions in 2026 as developers look to mitigate the grid impact of hyperscale data centers.
TL;DR: G.SKILL has launched its first 64GB DDR5 modules, unveiling a 128GB DDR5-8000 memory kit with dual 64GB modules. This marks a significant advancement from the previous 48GB module limit. The ...
NOR flash memory is evolving much in the same way as its cousin, NAND flash: 3D NOR is on the horizon and poised to boost memory densities and dramatically enhance designs. Evolving electronic systems ...
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