Cost-optimizing AssemblyAI speech-to-text inference on AWS with Amazon EC2 Spot

Extracto de la fuente

Speech-to-text inference is computationally intensive. Each audio file triggers a pipeline of deep learning models (acoustic models, language models, and post-processing stages) running on NVIDIA GPUs to meet latency requirements. At scale, this means thousands of GPU instances running continuously. AssemblyAI needed a way to run GPU-intensive inference workloads cost-effectively at scale, without sacrificing the availability and latency guarantees their customers depend on. Running entirely on…