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 ...

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

The post LPDDR6 Targets Up To 512GB Memory Modules to Power Next-Gen Agentic AI appeared first on Android Headlines.

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 ...

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 ...

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.

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 ...

QumulusAI has been working to reset the floor on AI infrastructure costs by making GPU-class inference more economical and ...

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