The acquisition of MEXT will undoubtedly better position AMD in the inference market, which is generally more ...

GDDR7 is the state-of-the-art graphics memory solution with a performance roadmap of up to 48 Gigatransfers per second (GT/s) and memory throughput of 192 GB/s per GDDR7 memory device. The next ...

A rapid rise in the size and sophistication of inference models has necessitated increasingly powerful hardware deployed at the network edge and in endpoint devices. To keep these inference processors ...

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during ...

Joint benchmarks on OCI H100 infrastructure showed 10x more concurrent users, 10x higher token throughput, and 7x more tokens served without adding GPUs ...

GF Securities (Hong Kong) sees on-chip memory as a niche AI inference trend but takes a neutral stance towards AI chipmaker Cerebras (CBRS). However, the firm believes that the trend will benefit ...

Information encountered in different events, such as people and objects, can be interlinked in memory. Such memory integration supports novel inferences about the world. This study investigates the ...

Learn more While the first phase of the AI megatrend was dominated by large language model (LLM) training, the second phase ...

XCENA Inc., a startup with a memory device designed to speed up artificial intelligence clusters, today announced that it has raised $135 million in funding. The Series B round was led by Korean funds ...

The memory industry's soaring revenue should ensure that the red-hot rally of these stocks continues.

The memory shortage, or to go by the more widely used nom de guerre of RAMageddon, has seen component prices skyrocket, lead times for hardware extend to the end of the decade, and cascaded into ...

Micron's senior vice president, Jeremy Werner, told The Circuit Podcast that memory has become a strategic bottleneck for data-center inference, warning that insufficient memory can sharply cut GPU ...