Features
Custom microarchitecture for NP-complete problems
7000x speedup on subset sum decision problem vs software
Removes memory access bottlenecks in optimization
Harmonized hardware-algorithm instruction sequences
Targets practical applications of combinatorial optimization
High-throughput processing for complex decisions
FPGA-accelerated prototype available
Organic architecture design philosophy
Automated neural architecture search (NAS)
INT8 and FP16 quantization
Hardware-aware optimization for NVIDIA GPUs
Model compression and pruning
NVIDIA TensorRT integration
Benchmarking and performance profiling
Deployment to cloud, edge, and mobile
Custom training with NAS-driven architectures
Computer vision model optimization
Deci AI Studio for model development
Automatic compilation pipeline for target hardware
