The ever growing compute demands of deep learning training and inference is forcing most enterprises to either update existing data centers or build new ones. This workload increase is driving the demand for hardware and dramatically increases data center total-cost-of-ownership (TCO) and cuts product profitability.
Average Throughput Acceleration
Average Reduction in Model Size
Average Reduction Model Memory Footprint
Daniel Shichman, CEO
WSC Sports Technologies
from transformers import AutoFeatureExtractor, AutoModelForImageClassification extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50") model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")