S
coding

Spell ML

Spell was a SaaS platform for running machine learning experiments at scale with managed GPUs, datasets, and collaboration—streamlining reproducibility and deployment for research and product teams.
mlops gpu experiment-tracking
Advanced Level
N/A
Starting Price
Try Spell ML
Category
coding
Setup Time
< 2 minutes
coding
Category
Advanced
Difficulty
Active
Status
Web App
Type

What is Spell ML?

Scale ML Experiments with Managed GPUs and Reproducibility

Spell simplified the ML loop with managed compute, tracked experiments, and collaboration features. Users launched jobs, compared runs, and deployed models as endpoints—reducing infrastructure burden and speeding iteration. Following its 2022 acquisition by Reddit, the commercial platform was sunset.

Key Capabilities

What makes Spell ML powerful

Managed GPU Jobs

Provision and schedule GPU instances for training and evaluation. Keep dependencies pinned and environments consistent across runs.

Implementation Level Professional

Run & Artifact Logs

Capture metrics, checkpoints, and artifacts to compare experiments. Promote best runs with clear lineage and documentation.

Implementation Level Intermediate

Hosted Inference

Expose trained models via APIs for integration with applications. Monitor latency and error rates and roll back to stable versions.

Implementation Level Intermediate

Team Projects

Work in shared spaces with access controls and notes to keep research organized and reproducible across contributors.

Implementation Level Basic

Professional Integration

These capabilities work together to provide a comprehensive AI solution that integrates seamlessly into professional workflows. Each feature is designed with enterprise-grade reliability and performance.

Pricing

Start using Spell ML today

N/A

Starting price

Get Started

Quick Information

Category coding
Pricing Model Paid
Last Updated 12/7/2025

Tags

mlops gpu experiment-tracking cli saas collaboration model-serving reproducibility

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