1 citations · 1 across the 3 of their papers we have counts for
3 papers
Uber's Failover Architecture: Reconciling Reliability and Efficiency in Hyperscale Microservice Infrastructure
Mayank Bansal, Milind Chabbi, Kenneth Bogh +21
Operating a global, real-time platform at Uber's scale requires infrastructure that is both resilient and cost-efficient. Historically, reliability was ensured through a costly 2x…
IBM Deep Learning Service
Bishwaranjan Bhattacharjee, Scott Boag, Chandani Doshi +15
Deep learning driven by large neural network models is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, te…
GaDei: On Scale-up Training As A Service For Deep Learning
Wei Zhang, Minwei Feng, Yunhui Zheng +8
Deep learning (DL) training-as-a-service (TaaS) is an important emerging industrial workload. The unique challenge of TaaS is that it must satisfy a wide range of customers who hav…