Jongho Lee - The official SqueezeBits Tech blog

Jongho Lee

Reliable & Scalable Synthetic Data for Physical AI (Part 2): Making Cosmos 3.1 x Faster for Production

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.

Reliable & Scalable Synthetic Data for Physical AI (Part 1): Taming NVIDIA Cosmos with RoBoost Agent

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.

[vLLM vs TensorRT-LLM] #10 Serving Multiple LoRAs at Once

[vLLM vs TensorRT-LLM] #10 Serving Multiple LoRAs at Once

This article provides a comparative analysis of multi-LoRA serving capabilities of vLLM and TensorRT-LLM frameworks.