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Enterprise Layer Intelligence
Categories/Cloud Computing/Paperspace
Paperspace

Paperspace

Founded by Dillon Erb in 2014

Train and deploy machine learning models on cloud GPUs

Pricing model

Free Tier

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Paperspace to develop, train, and deploy machine learning models on cloud GPUs. It offers virtual machines with NVIDIA hardware, hosted Jupyter notebooks for quick testing, and automated deployment pipelines that turn models into production API endpoints. You can run large language models, fine-tune existing foundation models, or manage 3D rendering jobs without configuring physical servers. With per-second billing and scalable compute instances, teams can test ideas quickly and scale infrastructure up or down based on current computational needs.

What Paperspace does

Provision cloud GPU virtual machinesLaunch cloud-hosted Jupyter notebooksFine-tune open-source language modelsDeploy machine learning models to production APIsTrack model training jobs and artifact versionsMonitor team compute resource usage and spendingAccess high-performance NVIDIA H100 and other specialized GPUs on demandLaunch hosted Jupyter notebooks with pre-configured machine learning environmentsConvert trained machine learning models directly into production API endpointsPay only for active compute resources using per-second billingManage machine learning pipelines with automatic versioning and trackingStream remote cloud desktops for 3D modeling and visual rendering

Pricing breakdown

Pricing model: Free tier

Tutorials & Demos

Frequently asked

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Paperspace, cloud GPUs, NVIDIA H100, machine learning, deep learning, Jupyter notebooks, model training, model deployment, MLOps, AI infrastructure, virtual machines, GPU compute, DigitalOcean, LLM fine-tuning