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Semin Kim
Reliable & Scalable Synthetic Data for Physical AI (Part 2): Making Cosmos 3.1 x Faster for Production
Explore why Physical AI deployment needs synthetic data at scale with Squeezebits' research and discover how to overcome inference bottlenecks to accelerate Roboost Agent.
Mar 11, 2026
Tech Insight
Reliable & Scalable Synthetic Data for Physical AI (Part 1): Taming NVIDIA Cosmos with RoBoost Agent
Scaling Physical AI requires reliable synthetic data. Learn how RoBoost Agent integrates NVIDIA Cosmos to transform world models into trustworthy data engines for robotics and autonomous driving.
Feb 25, 2026
Tech Insight
Vocabulary Trimming: An Easy and Effective Method for SLM Acceleration
Trimming large multilingual vocabularies in Small Language Models (SLM) is a simple, low-risk way to boost efficiency to its limit. It accelerates the model inference significantly while keeping accuracy almost unchanged.
Aug 04, 2025
Tech Insight
