#pytorch
Pytorch: 14 AI articles covering pytorch news, analysis, and research
Articles
Profiling TorchNeuron (Part 1): System-Level Profiling on AWS Trainiumโญ8
Discover system-level profiling for TorchNeuron on AWS Trainium: tools, techniques, and best practices to identify bottlenecks and optimize ML workload performa...
Google and Amazon Both Take Aim at Nvidia's AI Developer Strongholdโญ9
Google open-sources TorchTPU and Amazon launches TorchNeuron as both cloud giants move to break Nvidia's grip on AI development and PyTorch workloads.
Hugging Face โค๏ธ TorchTPU: Native TPU Support Arrivesโญ8
Hugging Face and PyTorch bring native TPU support to Transformers via TorchTPU, letting you run models on Google Cloud TPUs without leaving the PyTorch stack.
Amazon Takes Its Biggest Shot at Nvidia Yet with New TorchNeuronโญ10
AWS launches TorchNeuron, letting AI startups run PyTorch apps on Trainium with a one-line change, directly challenging Nvidia's CUDA software advantage.
TorchNeuron: Running Hugging Face Models on AWS Trainium Isโญ9
TorchNeuron simplifies running Hugging Face Transformers models on AWS Trainium, cutting boilerplate so teams can train and serve models with familiar PyTorch w...
How to Make Zero-Training Tabular Predictions with NVIDIAโญ8
Learn how to make zero-training tabular predictions with NVIDIA Structured Data Models, covering TabICLv2, KumoTabular, and relational inference.
GGUF vs GPTQ vs AWQ vs EXL2: LLM Model Formats Explained (2026)โญ10
GGUF vs GPTQ vs AWQ vs EXL2 explained for 2026: compare LLM model formats, containers, and quantization methods to choose the right one for deployment.
Hands-On Evolution of Deep Learning: Geoffrey Hinton's AI Legacyโญ8
Explore Geoffrey Hinton's AI legacy in this 27-hour freeCodeCamp course, recreating deep learning breakthroughs like AlexNet, Dropout, and t-SNE in PyTorch.
Microsoft Open-Sources TauGrid: A Kubernetes-Native Stack forโญ8
Microsoft open-sources TauGrid, an MIT-licensed Kubernetes-native stack bundling Kueue, KubeRay, GPU health monitoring, and observability into a single Helm ins...
Fine-Tuning Tool-Calling LLMs: A Complete Guide Using XYZ-Aquilaโญ10
Fine-tune Qwen3-0.6B with LoRA on XYZ-Aquila-SFT tool-calling data. Full pipeline from preprocessing to evaluation for skill enhancement.
