Radar ·
AI lab open-sources the inference framework it runs in production
A large language model lab released as open source the inference framework it uses to serve its models in production, described as high-performance and large-scale.
According to the briefing, a large language model lab announced DeepInfer, its production inference framework, now open source. It is used to serve a model from the 4.1 Flash line. The repository describes the framework as high-performance and large-scale for models from the same origin.
The source presents this serving stack as a reference for throughput, latency and cost per token. The text gives no benchmark numbers, so to verify the results, check the official announcement repository and the data it publishes. Rota Nacional does not run or reproduce this framework and does not claim equivalent results.