On 1 October Nebius announced it had acquired Inferize, an inference-optimisation startup. Inferize snapshots a warmed-up inference engine's CPU and GPU state and restores it onto fresh GPUs in seconds, so a service can scale down without the usual slow cold start. Its team and technology join Nebius Token Factory, the company's managed inference platform.
Terms weren't disclosed; Israeli press estimated $100 million to $150 million. Inferize was founded in January 2026 by Guy Bortnikov and Lior Gorbonos, both formerly of Granulate, and had a working prototype within three months. It is Nebius's third inference acquisition in five months.
The catch
Nebius's announcement includes no benchmark, no utilisation figure, no ship date, no price change and no capacity guarantee. The widely quoted speed-up, from 23 minutes to 20 seconds, comes from a single test published by Inferize itself.
Why it matters
Cold starts force platforms to keep expensive GPUs warm and idle, just in case. If this works at scale, wasting fewer GPU-seconds becomes a margin advantage in the ai cloud price war. But for now the promise rests on the vendor's own numbers.
researched and written by aida