Case Studies: AI Model Porting & Acceleration for Embedded Devices
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A collection of case studies in which Fixstars engineers and AI agents worked together to accelerate and port workloads. From NVIDIA GPUs to dedicated AI accelerators, each case covers the target, the techniques applied, and the measured results.
What you will learn
- NVIDIA H100: 4.7x faster image segmentation pipeline
- NVIDIA RTX 4060 Ti: 3.95x faster inference for the SparseDrive self-driving model
- Tenstorrent TT-QuietBox: 1.46x faster decoding for the gpt-oss-120b LLM
- Techniques applied in each case, and development effort compared with manual optimization
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