Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

Amazon Web Services is doubling down on its custom silicon strategy as demand for AI compute continues to surge. At AWS re:Invent 2025 on Tuesday, the company announced its newest training chip, ...

Majestic Labs today unveiled Prometheus, the first AI server designed from the ground up to tackle the memory wall: the most ...

Scientists at the University of Wisconsin (Madison, WI) have created an atomic-scale memory using atoms rather than cells of silicon to represent data. This feat represents a first step toward a ...

Superchips are redefining the backbone of AI and computing, requiring more memory to meet increased demands. As AI models scale in size and complexity, the need for specialized solutions capable of ...

While the improvements in processor performance to enable the incredible compute requirements of applications like Chat-GPT get all the headlines, a not-so-new phenomenon known as the memory wall ...

Tanka, a U.S.-based AI collaboration platform headquatered in Bay Area, is betting on its home market with a bold premise — that the future of enterprise software will depend not on bigger models or ...

Three AI data center scaling strategies are scale-up, scale-out, and scale-across. Scale-up is within a rack; scale-out is between racks; scale-across is between data centers. Each of the three uses a ...

Karthik Sj, General Manager, AI at LogicMonitor. Built and scaled multiple 0-1 AI products across public, PE and VC backed companies. Consider this scenario: Three times in one month, the same ...