This is really where TurboQuant's innovations lie. Google claims that it can achieve quality similar to BF16 using just 3.5 ...

A paper from Google could make local LLMs even easier to run.

Getting cited in AI responses requires more than strong SEO. It demands content built for extraction, trust, and machine readability.

Ahead of Nvidia Corp.’s GTC 2026 this week, we reiterate our thesis that the center of gravity in artificial intelligence is shifting from “How fast can you train?” to “How well can you serve?” ...

Forbes contributors publish independent expert analyses and insights. I cover emerging technologies with a focus on infrastructure and AI This voice experience is generated by AI. Learn more. This ...

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...

No GPU fleet runs at full capacity around the clock. InferenceSense™ automatically fills idle cycles with paid AI inference workloads—and shares the revenue with you. FriendliAI, The Frontier AI ...

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.

On Thursday, OpenAI released its first production AI model to run on non-Nvidia hardware, deploying the new GPT-5.3-Codex-Spark coding model on chips from Cerebras. The model delivers code at more ...

Vibe coding is a new way to create software using AI tools such as ChatGPT, Cursor, Replit, and Gemini. It works by describing to the tool what you want in plain language and receiving written code in ...

Agentic applications are LLM that iteratively invoke external tools to accomplish complex tasks. Such tool-based agents are rapidly becoming the dominant paradigm for deploying language models in ...