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Qwen2.5-72B Multi-GPU Quantized Deployment Tutorial: Complete in 4 Steps
A practical guide to deploying Qwen2.5-72B across multiple GPUs using quantization and tensor parallelism, covering model selection, startup parameters, and verification.
H100 vs H200 Inference Performance: The Difference Is Bandwidth, Not Compute
H100 and H200 have identical compute power, but H200's 141GB HBM3e and 4.8TB/s bandwidth deliver 30-90% throughput gains in memory-bound scenarios with large models and long contexts.
vLLM Multi-GPU Tensor Parallel Configuration Guide: How to Set TP and 5-Step Troubleshooting
A step-by-step guide to configuring vLLM tensor parallelism across multiple GPUs, covering TP limits, adjustment order, and troubleshooting.
How to Optimize GPU Utilization? 5 Steps to Find the Real Cause of Compute Idling
A practical 5-step guide to diagnosing and fixing GPU underutilization, distinguishing between true idle, pseudo-saturation, and wasted compute, with a focus on key metrics and engine tuning.
How Much VRAM Does Qwen Deployment Need? A Dual-Card Guide for 72B/32B
A practical guide to calculating VRAM requirements for Qwen 2.5 72B and 32B models, covering weight, KV Cache, activation tensors, and engine overhead, with dual-card configuration advice.
