Simplifying AI Inference in Production with NVIDIA Triton | NVIDIA Technical Blog
Faster than GPU: How to 10x your Object Detection Model and Deploy on CPU at 50+ FPS
Vector Processing on CPUs and GPUs Compared | by Erik Engheim | ITNEXT
NVIDIA Triton Inference Server Boosts Deep Learning Inference | NVIDIA Technical Blog
JLPEA | Free Full-Text | Efficient ROS-Compliant CPU-iGPU Communication on Embedded Platforms
Deploying PyTorch models for inference at scale using TorchServe | AWS Machine Learning Blog
Graphics processing unit - Wikipedia
Performance and Scalability
PyTorch Load Model | How to save and load models in PyTorch?
Appendix C: The concept of GPU compiler — Tutorial: Creating an LLVM Backend for the Cpu0 Architecture
The description on load sharing among the CPU and GPU(s) components... | Download Scientific Diagram
Vector Processing on CPUs and GPUs Compared | by Erik Engheim | ITNEXT
Run multiple deep learning models on GPU with Amazon SageMaker multi-model endpoints | AWS Machine Learning Blog
HandBrake – Convert Files with GPU/Nvenc Rather than CPU – Ryan and Debi & Toren
A hybrid GPU-FPGA based design methodology for enhancing machine learning applications performance | SpringerLink
Parallel Computing — Upgrade Your Data Science with GPU Computing | by Kevin C Lee | Towards Data Science
Understand the mobile graphics processing unit - Embedded Computing Design
Electronics | Free Full-Text | Performance Evaluation of Offline Speech Recognition on Edge Devices
How distributed training works in Pytorch: distributed data-parallel and mixed-precision training | AI Summer
Memory Management, Optimisation and Debugging with PyTorch
Is it possible to load a pre-trained model on CPU which was trained on GPU? - PyTorch Forums
Improving GPU Memory Oversubscription Performance | NVIDIA Technical Blog
Automatic Device Selection — OpenVINO™ documentation — Version(latest)
Reducing CPU load: full guide – Felenasoft
On a cpu device, how to load checkpoint saved on gpu device - PyTorch Forums
convert SAEHD on 2nd GPU · Issue #563 · iperov/DeepFaceLab · GitHub
