Get started with AI Inference
What you’ll learn:
- How to optimize AI inference to reduce infrastructure costs, latency, and improve throughput in production environments.
- Key techniques like quantization and sparsity to compress models and run them efficiently without compromising accuracy.
- The importance of inference performance engineering and how runtime optimization impacts scalability and cost.
- How modern inference runtimes like vLLM improve GPU utilization, batching, and real-time performance.
- A full-stack approach to deploying efficient, scalable AI inference across hybrid and multicloud environments.
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