Handle 675M users with 99.9% uptime like Spotify's global infrastructure
Originally inspired by Zach Wilson (@eczachly)'s insights on AI Engineering levels
vLLM, Ray Serve, TensorRT-LLM. Handle millions of concurrent requests with 1.7x speedup and 4x lower latency.
Sub-10ms responses like Mercedes-Benz safety systems. TensorFlow Lite and 92% GPU requirement reduction.
90% savings with serverless deployment. Spot instances, quantization, and smart model selection strategies.
GDPR, HIPAA, SOC2 compliance. PII protection, audit logs, and data governance for regulated industries.
Multi-GPU inference with vLLM. Auto-scaling, load balancing, and fault tolerance for enterprise workloads.
Context compression, quantization, gradient checkpointing. Handle 32k+ context windows efficiently.
Real-time monitoring, budget alerts, ROI analysis. Track every dollar spent on AI infrastructure.
End-to-end privacy protection, audit trails, and regulatory compliance for enterprise deployment.
Build systems that serve millions with enterprise reliability