Paperspace Gradient
softwareAbout
Cloud GPU platform with managed notebooks, model training, and deployment. Free GPU notebooks for ML experimentation and learning.
Overview
Paperspace Gradient (now part of DigitalOcean) provides accessible GPU cloud computing for ML training and inference, offering notebook-based development with one-click model deployment.
Pros
- +Free GPU notebooks
- +End-to-end platform
- +Good templates
- +Easy to use
Cons
- -Free tier limited
- -Pricing can be confusing
- -Less popular than Colab
This may be an affiliate link — the creator and GuruStacks may earn a commission, at no extra cost to you. Learn more
Details
Pricing
Model
freemium
Platforms
Community
Listed in Stacks
AI Model Training
Complete toolkit for training, fine-tuning, and deploying AI/ML models — from experiment tracking and GPU compute to data labeling, model serving, and vector databases.
Data Scientist
Essential tools for data scientists covering notebooks, ML frameworks, data visualization, feature stores, experiment tracking, and more.
Related
Similar tools
View alternatives →Lambda
4.4Lambda Labs provides high-performance GPU cloud infrastructure and AI supercomputers purpose-built for training and serving large-scale AI models.
Google Colab
4.2Free cloud-based Jupyter notebook environment with GPU/TPU access for machine learning and data science.
RunPod
4.4RunPod is a cloud GPU infrastructure platform for training, deploying, and scaling AI and machine learning workloads with on-demand and serverless options.
Kaggle
4.4Data science competition platform with free notebooks, datasets, and GPU/TPU access. Learn ML through competitions and community.
CoreWeave
4.3CoreWeave is an AI-native cloud platform providing high-performance GPU compute, storage, and managed Kubernetes infrastructure optimized for AI and ML workloads.
Vultr
4.3Global cloud infrastructure provider offering VMs, bare metal servers, GPUs, managed databases, and Kubernetes across 33 data center regions.