Parallel Inference processes multiple AI inference requests simultaneously across different processors, servers, or model instances to improve throughput and reduce response times.
Voice AI platforms use Parallel Inference to handle thousands of concurrent conversations while maintaining low latency for speech recognition, language models, and speech synthesis services.