Inference news

Microsoft’s Maia 300 chip will run its AI from 2027

Microsoft says its own chips will become the main system that runs AI in its products. It claims 40% more AI output per unit of power than leading GPU systems, but nobody outside has tested the chip yet.

Microsoft unveiled Maia 300, the third generation of its own AI chip, on October 12. It is built to run AI models rather than train them, and its production use starts in 2027. Microsoft plans to scale its Maia chips to several gigawatts of data-centre power from 2027.

Microsoft launches Decision-1, a fast model for AI choices

The model is built on Alibaba’s open Qwen3.5-9B and costs the same as Jev. Microsoft says it beat its rivals on 36 tests, and no outside group has checked that yet.

Microsoft released Microsoft-Decision-1 on October 9. It is a small model that scores a fixed list of options, such as yes or no, and gives a probability for each. It runs in Microsoft Foundry and on OpenRouter for $0.042 per million input tokens. Microsoft says it will soon rebuild it on its own models and on OpenAI’s.

Cerebras and Gimlet plan a faster AI cloud

The partners say a future service could reach 3,000 tokens per second. Its first CS-4 data centre is planned for later this year.

Cerebras and Gimlet Labs announced an inference-cloud partnership on September 28. Gimlet will connect its software with Cerebras wafer-scale computers. The companies say the service could deliver up to 3,000 generated tokens per second for agents and real-time apps. The first Cerebras-powered Gimlet data centre is expected later in 2026.

Jev returns a choice and a probability in under a second

How the model works inside is still a secret.

Jev reads a piece of text and answers questions whose possible answers the developer defines. It can pick an option, rate something on a scale, or give the chance that a statement is true. TypeSafe has not published the model’s design or size.

Positron’s $875 million round backs memory-first AI chips

Production is still planned for 2027.

Liberty Global joined a funding round that values Positron at $5 billion. The company says its design avoids scarce high-bandwidth memory, but its next chip has not entered production.

AI agents impress, but can companies make money from them?

AI agent demos can look great, but real work also includes errors, checks, and retries. These extra steps can make each useful result expensive.