🧨 Accelerating Stable Diffusion XL Inference with JAX on Cloud TPU v5e

What changed

Google Cloud TPUs are custom-designed AI accelerators, which are optimized for training and inference of large AI models, including state-of-the-art LLMs and generative AI models such as SDXL. The new Cloud TPU v5e is purpose-built to bring the cost-efficiency and performance required for large-scale AI training and inference. At less than half the cost of TPU v4, TPU v5e makes it possible for more organizations to train and deploy AI models.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• Accelerating Stable Diffusion Inference on Intel CPUs
• Stable Diffusion XL on Mac with Advanced Core ML Quantization
• Using LoRA for Efficient Stable Diffusion Fine-Tuning

• Accelerating Stable Diffusion Inference on Intel CPUs similarity 0.42
• Stable Diffusion XL on Mac with Advanced Core ML Quantization similarity 0.35
• Using LoRA for Efficient Stable Diffusion Fine-Tuning similarity 0.26