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MLXP vs Paperspace Gradient

MLXP

inria-thoth.github.io

Paperspace Gradient

paperspace.com

Side by side

FigureMLXPPaperspace Gradient
Price from—$8/mo
Free plan—Yes
Free trial——
Open source—Yes
Web—Yes
Windows—Yes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published017
Spec score · Experiment Tracking6.6 (#17)8.9 (#2)
PurposeMLXP is an open-source Python framework for managing experiments from launching and logging through querying results.Gradient is a machine learning platform for developing, tracking, and collaborating on machine learning models.
What it doesMLXP is an open-source Python framework for managing machine learning experiments from launch and logging through querying results.Paperspace is a cloud machine-learning platform for developing, training, and deploying AI applications with GPU-backed infrastructure.

Plans

MLXP

No plans published.

MLXP pricing →

Paperspace Gradient

  • Free (Individual)Free
  • Pro (Individual)$8 a month
  • Growth (Individual)$39 a month
  • Free (Team)Free
  • Pro (Team)$12 a month
  • Growth (Team)$39 a month
  • T0Free
  • T1$12 a month
  • FreeFree
  • FreeFree

Paperspace Gradient pricing →

In their own words

MLXP

MLXP has no write-up on Specifiction yet; its figures are above.

Visit inria-thoth.github.io

Paperspace Gradient

Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.

Visit paperspace.com