Admittedly it's an oversimplified description, but the economics of AI inference at scale are deceptively simple. The more ...

A research team from the Shenyang Institute of Automation, Chinese Academy of Sciences, together with Peking University and collaborating ...

Quill Notes LLC, or Quill Meetings, the maker of the Quill app and Quilliam, thinks it has an answer: a local-first “chief of ...

Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x ...

Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...

I hate Discord with the intensity of a supernova falling into a black hole. I hate its ungainly profusion of tabs and voice channels. I regret its cybersecurity breaches. I resent that the PRs use it ...

A federal agency is moving to loosen rules that bar people who consume marijuana and other illegal drugs from being able to lawfully purchase and possess guns by making it so fewer people would be ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

Animals survive in changing and unpredictable environments by not merely responding to new circumstances, but also, like humans, by forming inferences about their surroundings—for instance, squirrels ...