Accelerating PyTorch distributed fine-tuning with Intel technologies

What changed

Graphical Processing Units (GPUs) have long been the de facto choice to train deep learning models. Here, I will set up one instance manually, create a new Amazon Machine Image (AMI) from this instance, and use this AMI to launch three identical instances. To optimize costs, I have launched it as a spot instance.

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:

• Fine-tuning Stable Diffusion models on Intel CPUs
• Fine-tuning Llama 2 70B using PyTorch FSDP
• Accelerating Stable Diffusion Inference on Intel CPUs

• Fine-tuning Stable Diffusion models on Intel CPUs similarity 0.33
• Fine-tuning Llama 2 70B using PyTorch FSDP similarity 0.32
• Accelerating Stable Diffusion Inference on Intel CPUs similarity 0.31