GOYA INFERENCE PERFORMANCE
BERT – Base SQuAD Performance
Goya performance on BERT-Base, a popular natural language processing model, is based on the following configurations:
Hardware: 1x GOYA HL-100; CPU Xeon Gold [email protected] GHz.
Software: Ubuntu v-18.04; SynapseAI 0.11.0-477
Performance on ResNet50
Goya delivers super fast throughput and ultra low latency on ResNet50, a popular image recognition model. These performance metrics are based on:
Hardware: Goya HL-100 PCIe card; host CPU Xeon Gold [email protected] GHz; and
Software: Ubuntu v-18.04, SynapseAI v-0.11-447.
HABANA SynapseAI® SOFTWARE Suite for Inference
Habana’s software platform provides efficient and flexible development and deployment of a wide array of inference workloads and ease of customization to suit user-specific solution requirements. Designed for flexibility, Habana’s inference software leverages foundational and flexible blocks: Habana’s programmable Tensor Processor Core (TPC) SDK, optimizer, graphic compiler and runtime software, a rich and extensible kernel library and data center deployment and management tools.
HABANA INFERENCE SOFTWARE PLATFORM
SUPPORTS CUSTOMIZATION AT EVERY LAYER