High-Performance Inference

Optimize LLM inference for production with vLLM 0.14.x, quantization, and speculative decoding.

vLLM 0.14.0 (Jan ): PyTorch 2.9.0, CUDA 12.9, AttentionConfig API, Python 3.12+ recommended.

Overview

• Deploying LLMs with low latency requirements
• Reducing GPU memory for larger models
• Maximizing throughput for batch inference
• Edge/mobile deployment with constrained resources
• Cost optimization through efficient hardware utilization

Quick Reference