Blogs & Publications

• Optimize Stable Diffusion Upscaling with Diffusers and PyTorch*, Sep 2024

• Intel AI Solutions Boost LLMs: Unleashing the Power of Meta* Llama 3.1, Jul 2024

• Optimization of Intel® AI Solutions for Alibaba Cloud* Qwen2 Large Language Models, Jun 2024

• Accelerate Meta* Llama 3 with Intel® AI Solutions, Apr 2024

• Optimize Text and Image Generation Using PyTorch*, Feb 2024

• ML Model Server Resource Saving - Transition From High-Cost GPUs to Intel CPUs and oneAPI powered Software with performance, Oct 2023

• Accelerate Llama 2 with Intel AI Hardware and Software Optimizations, Jul 2023

• Accelerate PyTorch* Training and Inference Performance using Intel® AMX, Jul 2023

• Intel® Deep Learning Boost (Intel® DL Boost) - Improve Inference Performance of Hugging Face BERT Base Model in Google Cloud Platform (GCP) Technology Guide, Apr 2023

• Get Started with Intel® Extension for PyTorch* on GPU | Intel Software, Mar 2023

• Accelerate PyTorch* INT8 Inference with New "X86" Quantization Backend on X86 CPUs, Mar 2023

• Accelerating PyTorch Transformers with Intel Sapphire Rapids, Part 1, Jan 2023

• Intel® Deep Learning Boost - Improve Inference Performance of BERT Base Model from Hugging Face for Network Security Technology Guide, Jan 2023

• Scaling inference on CPUs with TorchServe, PyTorch Conference, Dec 2022

• What is New in Intel Extension for PyTorch, PyTorch Conference, Dec 2022

• Accelerating PyG on Intel CPUs, Dec 2022

• Accelerating PyTorch Deep Learning Models on Intel XPUs, Dec, 2022

• Introducing the Intel® Extension for PyTorch* for GPUs, Dec 2022

• PyTorch Stable Diffusion Using Hugging Face and Intel Arc, Nov 2022

• PyTorch 1.13: New Potential for AI Developers to Enhance Model Performance and Accuracy, Nov 2022

• Easy Quantization in PyTorch Using Fine-Grained FX, Sep 2022

• Empowering PyTorch on Intel® Xeon® Scalable processors with Bfloat16, Aug 2022

• Accelerating PyTorch Vision Models with Channels Last on CPU, Aug 2022

• One-Click Enabling of Intel Neural Compressor Features in PyTorch Scripts, Aug 2022

• Increase PyTorch Inference Throughput by 4x, Jul 2022

• PyTorch Inference Acceleration with Intel® Neural Compressor, Jun 2022

• Accelerating PyTorch with Intel® Extension for PyTorch, May 2022

• Grokking PyTorch Intel CPU performance from first principles (parts 1), Apr 2022

• Grokking PyTorch Intel CPU performance from first principles (parts 2), Apr 2022

• Grokking PyTorch Intel CPU performance from first principles, Apr 2022

• KT Optimizes Performance for Personalized Text-to-Speech, Nov 2021

• Accelerating PyTorch distributed fine-tuning with Intel technologies, Nov 2021

• Scaling up BERT-like model Inference on modern CPU - parts 1, Apr 2021

• Scaling up BERT-like model Inference on modern CPU - parts 2, Nov 2021

• NAVER: Low-Latency Machine-Learning Inference

• Intel® Extensions for PyTorch, Feb 2021

• Optimizing DLRM by using PyTorch with oneCCL Backend, Feb 2021

• Accelerate PyTorch with IPEX and oneDNN using Intel BF16 Technology, Feb 2021 Note: APIs mentioned in it are deprecated.

• Intel and Facebook Accelerate PyTorch Performance with 3rd Gen Intel® Xeon® Processors and Intel® Deep Learning Boost’s new BFloat16 capability, Jun 2020

• Intel and Facebook* collaborate to boost PyTorch* CPU performance, Apr 2019

• Intel and Facebook* Collaborate to Boost Caffe*2 Performance on Intel CPU’s, Apr 2017