Cuda Accelerated Tensor Operations For Efficiency

via “gpu acceleration with cuda support and memory optimization”

Fast transformer inference engine — INT8 quantization, C++ core, Whisper/Llama support.

Unique: Custom CUDA kernels for fused operations (attention, layer normalization, GEMM) with automatic GPU memory management and in-place operations, combined with dynamic memory allocation based on batch size. Unlike PyTorch CUDA kernels, CTranslate2 kernels are optimized specifically for inference workloads with minimal memory overhead.

vs others: 5-10x faster GPU inference than PyTorch due to fused kernels and memory optimization, while maintaining comparable accuracy.