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.

When NVIDIA CEO Jensen Huang took the stage at the SAP Center in San Jose yesterday, he delivered a two-and-a-half-hour ...

For the past three years, the AI industry's obsession has been training: throwing vast quantities of computing power at raw ...

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the ...

Inference has quietly become one of the most valuable resources inside software companies. Once just a line buried in cloud ...

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...

Engineers at the University of Florida have built a photonic chip that performs convolutions, the most compute-heavy ...

AI inference emerges as a critical factor in tech compensation, impacting engineer productivity and Silicon Valley hiring ...

Conservation has long wrestled with a deceptively simple question: not whether to act, but where action will matter most.

Berlin Coyotiv and OpenServ Labs published a research paper introducing BRAID (Bounded Reasoning for Autonomous ...