How PAI‑Blade Supercharges PyTorch Training with Up to 41% Speedup

This article explains how PAI‑Blade uses compiler optimizations, TorchDynamo, MHLO conversion, and aggressive kernel fusion to accelerate PyTorch training, provides simple two‑line integration code, showcases benchmark results on A10 and A100 GPUs, and details deployment steps on PAI‑DSW.

BladeDISCGPU OptimizationPAI-Blade

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How PAI‑Blade Supercharges PyTorch Training with Up to 41% Speedup

Alibaba Cloud Big Data AI Platform

May 30, 2023 · Artificial Intelligence

Boost Stable Diffusion Inference with PAI-Blade: LoRA & ControlNet Optimization

This article explains how to use PAI-Blade to accelerate Stable Diffusion inference by optimizing LoRA and ControlNet components, detailing configuration steps, code modifications, benchmark results on A100/A10 GPUs, and integration with both Diffusers and the popular Stable-Diffusion-webui, highlighting performance gains and memory savings.

ControlNetGPU BenchmarkInference Optimization

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Boost Stable Diffusion Inference with PAI-Blade: LoRA & ControlNet Optimization

Alibaba Cloud Big Data AI Platform

May 29, 2023 · Artificial Intelligence

How PAI‑Blade Supercharges Stable Diffusion Inference on GPUs

This article explains how PAI‑Blade, built on the BladeDISC compiler and BlaDNN library, dramatically reduces latency and memory usage for Stable Diffusion inference, provides step‑by‑step usage examples with code, shows performance gains on A100 and A10 GPUs, and outlines future optimization directions.

GPUInference OptimizationPAI-Blade

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How PAI‑Blade Supercharges Stable Diffusion Inference on GPUs