All task areas

AI Infrastructure

GPU compute, model hosting, experiment tracking

3 tasks4 tools
1

Host and run open-source models

huggingface
AI Infrastructure

Hugging Face

The GitHub of machine learning — 500k+ models, datasets, and Spaces. The hub for open-source AI with inference APIs, model hosting, and the transformers library powering most of the ML ecosystem.

PythonTypeScriptOpen Source
89
Trust
Strong
Compare:vs Replicate vs Together AI
replicate
AI Infrastructure

Replicate

Run open-source AI models in the cloud with a simple API. Access image generation (Stable Diffusion, FLUX), video, audio, and thousands of community models without managing GPUs.

TypeScriptPythonManaged
82
Trust
Strong
Compare:vs Hugging Face vs Modal vs Together AI
2

Run Python on serverless GPUs

modal
AI Infrastructure

Modal

Serverless GPU compute platform for ML workloads. Run Python functions on H100s, A100s, or T4s with zero infrastructure management. Pay per second, scale to zero when idle, deploy models as web endpoints.

Serverless GPUMLPython
75
Trust
Good
Compare:vs Hugging Face vs Replicate
3

Track ML experiments & models

wandb
AI Infrastructure

Weights & Biases

The leading ML experiment tracking, model versioning, and dataset management platform. Log metrics, hyperparameters, and artifacts in 5 lines of code. Used by teams at OpenAI, NVIDIA, and Toyota.

ML TrackingExperiment ManagementModel Registry
80
Trust
Strong
Compare:vs Hugging Face