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Instead of Paperspace Gradient
Paperspace Gradient alternatives
Paperspace Gradient focuses on machine learning: its browser-based IDE launches GPU-enabled Jupyter notebooks, with project sharing and collaborator invites. It offers on-demand GPU and IPU instances, GitHub integration, and model deployments served as API endpoints, with runtime, instance-type, and autoscaling options. Notebooks run in Docker containers, and paid plans support private projects. Access spans web, Linux, macOS, Windows, and API. A free plan is available; paid plans start at $8 per month, with instance utilization costs extra on paid instances.
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GitHub Codespaces
by GitHub CodespacesFree plan AndroidAPIExtension+5Repository-based development in configured cloud environments — Codespaces provides GitHub-hosted Docker development environments configured through repository files, rather than Gradient’s GPU/IPU-backed ML platform.
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JupyterLab
by JupyterLabFree plan Open source APILinuxMac+3Free interactive notebook and data work — JupyterLab is a free interactive environment for notebooks, code, and data, while Gradient adds managed GPU/IPU compute and model-serving endpoints.
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Coder
Free plan Open source APIExtensionLinux+4Teams needing self-hosted coding environments and agents — Coder runs self-hosted cloud development environments on customer-controlled infrastructure and includes agents, unlike Gradient’s managed ML platform.
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AWS Cloud9
Free plan LinuxWebAWS users building and debugging code or Lambda functions — Cloud9 is a browser IDE with AWS Lambda tools and AWS-account collaboration, rather than Gradient’s GPU-enabled ML notebooks and model serving.
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Google Colab
Free plan APIExtensionSelf-hosted+1 - 10
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Lightning AI Studios
Free plan APILinuxMac+3 - 14
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SageMath
Free plan LinuxMacSelf-hosted+2 - 17
JDoodle
Free plan AndroidAPIExtension+2 - 18
Tencent Cloud Cloud Studio
Free plan AndroidAPIiPhone+4 - 19
Theia IDE
Free plan ExtensionLinuxMac+3 - 20
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Firebase Studio
Free plan AndroidWeb - 23
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Another tool may suit you better if you need a general coding environment, prefer self-hosting, or want a notebook platform centered on data exploration. Check how you will access and configure the environment, which languages or workflows it supports, and its pricing. Consider what a switch changes, too: these alternatives offer options such as repeatable cloud development environments, interactive coding, collaborative data notebooks, and infrastructure you control, while Gradient’s GPU/IPU instances and model-serving endpoints may matter for machine learning work.
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