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Showing 1 to 2 of 2 for “"Serverless Inference"”.
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Towards SLO-aware Resource Scheduling for Serverless Inference Workloads
… necessitating efficient and cost-effective ML inference capabilities. Function-as-a-Service (FaaS) has emerged as a promising approach for hosting ML inference services, providing a serverless computing environment that streamlines development cycles and offers scalability and simplified …
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Rethinking Serverless for Machine Learning Inference
… intelligence and machine learning, AI/ML inference tasks have become exceedingly popular. However, executing these workloads on dedicated hardware may not be feasible for many users due to high maintenance costs, varying load patterns, and time to production. Furthermore, ML inference …