How to Choose an AI Accelerator for Training or Inference
A selection guide for GPUs and other AI accelerators: define the workload, check memory and software support, and compare options with real tests.
AI Semiconductors & Chips
GPU & AI Accelerators
GPU & AI Accelerators guides, comparisons and explainers from SemiChipAI.
How Much GPU Memory Do You Need? Estimating Training and Inference Footprints
A practical way to estimate GPU memory for AI training and inference: weights, gradients, optimizer state, activations and cache, plus ways to cut usage.
Troubleshooting Low GPU Utilization in AI Workloads
A step-by-step approach to finding why a GPU sits idle during training or inference, from data loading and batch size to kernel launch overhead.
Why Adding More GPUs Doesn't Make Training Proportionally Faster
Why multi-GPU training rarely scales linearly, and how to find the real bottleneck in communication, data loading or batch size before buying more hardware.