Machine Learning Engineer
hardmachine-learning-engineer-gpu-inference
When should you use GPU inference and what are the operational trade-offs?
Answer
GPU inference helps for large models and high throughput, but adds cost and scheduling complexity.
Trade-offs:
- Cold starts and batching needs
- Capacity planning
- Multi-tenant isolation
Measure end-to-end latency and cost per request; sometimes CPU + quantization is cheaper and simpler.
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