PyTorch

Core deep learning framework

dataadvancedFree tier

Overview

PyTorch remains the dominant open-source training framework for deep learning research and production experimentation. Developers care because it underpins most modern AI tooling, custom model training, and inference integrations.

Best For

+ml-engineers
+researchers

News & Updates

Ubuntu 26.10 'Stonking Stingray' Released with AI-Focused Kernel

Canonical released Ubuntu 26.10, codenamed 'Stonking Stingray', the latest interim version of its popular Linux distribution. The release includes a new kernel optimized for AI workloads, with improved GPU acceleration and support for the latest NVIDIA and AMD hardware. It also ships with updated AI/ML libraries like PyTorch 2.5 and TensorFlow 2.18, making it easier for developers to run AI models out of the box. This positions Ubuntu as a go-to OS for AI development, challenging other Linux distros and cloud images.

new_tools10/15/2026

Linux LTS Distributions Struggle With GenAI Tools That Update Every 3-6 Months

A talk at the Linux Plumbers Conference (LPC) is questioning whether long-term support (LTS) Linux distributions still make sense in the fast-moving GenAI era. LTS releases like Ubuntu 24.04 receive security updates for up to 12 years, but GenAI frameworks such as PyTorch and TensorFlow now ship major versions every 3-6 months. This mismatch forces developers to either run outdated AI libraries on stable distros or break stability guarantees to stay current. The talk argues that distros may need to decouple AI toolchains from the base OS to keep pace.

new_tools10/11/2026

Rolling Release Linux Distros Beat LTS for AI Workloads, Phoronix Argues

A Phoronix analysis argues that rolling-release Linux distributions like Arch and openSUSE Tumbleweed now serve GenAI developers better than long-term-support distros such as Ubuntu 22.04 LTS. The core reason: AI tooling — CUDA, PyTorch, ROCm, and llama.cpp — ships patches weekly, and LTS kernels and userspace packages lag months behind. Rolling distros deliver these updates within days, avoiding manual backports and dependency conflicts. The tradeoff is stability risk, but for GPU-accelerated AI work, stale drivers are the bigger failure mode.

new_tools10/10/2026