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FAQ

vs. Notebooks

Product Role Problem and Solution
Apache Zeppelin, Jupyter Notebook Notebook-style document + code frontends Insecure host resource sharing
Backend.AI Pluggable backend to any frontends Built for multi-tenancy: scalable and better isolation

vs. Orchestration Frameworks

Product Target Value
Amazon ECS, Kubernetes Long-running service daemons Load balancing, fault tolerance, incremental deployment
Backend.AI Stateful compute sessions Low-cost high-density computation
Amazon Lambda, Azure Functions Stateless, light-weight functions Serverless, zero-management

vs. Big-data and AI Frameworks

Product Role Problem and Solution
TensorFlow, Apache Spark, Apache Hive Computation runtime Difficult to install, configure, and operate
Amazon ML, Azure ML, GCP ML Managed MLaaS Still complicated for scientists, too restrictive for engineers
Backend.AI Host of computation runtimes Pre-configured, versioned, reproducible, customizable (open-source)

(All product names and trade-marks are the properties of their respective owners.)

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