Real-world CUDA optimization projects delivering measurable performance improvements for enterprise clients.
Achieved 3.2x speedup on BERT inference through custom CUDA kernels and memory layout optimization.
Reduced inference latency by 68% and memory usage by 45%
Built distributed training system supporting 1000+ GPU nodes with custom communication kernels.
Scaled to 175B parameter models with 94% efficiency
Optimized real-time object detection pipeline for embedded GPU systems.
Achieved 30 FPS on 4K video with <10ms latency
Developed BYOD platform for fine-tuning large language models on proprietary data.
Reduced fine-tuning costs by 75% while maintaining model quality
Custom CUDA kernels for real-time ray tracing and neural rendering.
4x faster rendering times for complex scenes
High-performance RL training system with custom CUDA kernels for policy networks.
10x faster training convergence for complex control tasks
Let's discuss how our CUDA expertise can accelerate your neural network performance.
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