The inference optimization playbook

This playbook is ideal for AI engineers, infrastructure leaders, and tech decision-makers running inference at scale. It offers actionable strategies to reduce latency, cut costs, and stay compliant while deploying AI in production.
What’s Inside:
- Centralized vs. edge inference: How to choose the right architecture
- Tips for selecting efficient, cost-effective AI models
- Real-world strategies for cutting inference costs with smart routing and autoscaling
- Best practices for securing your AI pipeline
- Compliance tips for running AI workloads under GDPR, HIPAA, and more
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