Case Study: Project ALPHA
Neural Optimization for Low-Latency Inference
Project ALPHA focused on reducing transformer inference latency by 40% through advanced weight quantization and custom attention kernels. This research directly informed the development of our MAXWELL-1 model.
- Achieved 4-bit quantization with <1% perplexity loss.
- Optimized CUDA kernels for specialized hardware.