Nvidia has a structured data enablement strategy. Nvidia provides libaries, software and hardware to index and search data ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Over the past decades, electronics engineers have been trying to develop increasingly smaller devices that can store ...

A new AI memory layer promises smarter wearables and robots, but a lawsuit against Elon Musk's xAI raises urgent safety ...

A single 20-minute session on a stationary bike can trigger a measurable surge in memory-linked electrical activity deep ...

Engineers at the University of California San Diego have developed a new type of computer hardware inspired by how the human ...

Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.

The database of 200 million protein-structure predictions now includes homodimers, adding new biological relevance.

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage ...

Nvidia Corp. today launched a reference architecture that hardware makers can use to build storage equipment for artificial ...

Researchers at Carnegie Mellon University are developing new technology that could lower how much energy data centers need to operate, reducing the strain on the energy grid that Americans rely on.