Netra support TurboQuant 3.5 on SGLang
Unlock up to 5× larger KV cache capacity on SGLang with near-lossless quality and no observable performance degradation using TurboQuant 3.5 in Netra Runtime.
Latest Updates
Follow the latest progress, releases, and announcements from Netra Runtime
AI image annotation tool for faster dataset labeling
We are introducing Image Annotation to help teams label objects in complex scenes with more speed and clarity. With direct on-canvas highlighting and cleaner visual overlays, it becomes easier to inspect crowded images and produce higher-quality training data.