Created
August 18, 2025 05:44
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| Metric | Description | Ideal value | |
|---|---|---|---|
| Startup Time | Time to get an environment up and running for experimentation | Fast | |
| Hardware Dependency | Need for specialized hardware eg. GPU/TPU | Low | |
| Scalability | Ability to scale across distributed datasets and compute | High | |
| Runtime Observability | Availability of monitoring tools (CPU, memory, logs, errors) | High | |
| Environment Control | Ability to use specific os, language, packages | High | |
| Portability | Ease of taking the solution to another platform or edge | High | |
| Interoperability | Ability to integrate with other tools in the stack (e.g., CI/CD, GCP, MLflow) | High | |
| Latency Suitability | Suited for real-time / low-latency inference need | High | |
| Storage Flexibility | Ability to handle and work with diverse data formats (structure, unstructured, etc) | High | |
| Prod. Pipeline Readiness | Ability to be a part of a production-grade pipeline with robust CI/CD and error handling | High |
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