Seungryeol Kim - The official SqueezeBits Tech blog

Seungryeol Kim

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.

Yetter, the GenAI API service: AI Optimization, Out of the Box

Yetter, the GenAI API service: AI Optimization, Out of the Box

Meet 'Yetter': the generative AI API service built for speed, efficiency, and scalability. Powered by our optimization inference engine, it delivers reliable image, video, and future LLM services at a fraction of the cost.

OwLite: No More Compromising on AI Performance After Quantization

OwLite: No More Compromising on AI Performance After Quantization

Discover how OwLite simplifies AI model optimization with seamless integration and secure architecture.

Fits on Chips: Saving LLM Costs Became Easier Than Ever

Fits on Chips: Saving LLM Costs Became Easier Than Ever

This article introduces Fits on Chips, an LLMOps toolkit for performance evaluation.