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Modelbit

Deploy your ML models from any Python environment, infer from diverse data sources, robust version control with your git repo, and more at Modelbit.

Machine Learning Updated 3 hours ago
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Modelbit

Modelbit's Top Features

Deploy from any Python environment
On-demand GPUs for training
Infer from Snowflake, Redshift, dbt, REST APIs
Backed by git repo for version control, CI/CD, code review
Robust logging and monitoring
Deploy in your cloud or Modelbit's
Built-in tools for MLOps
Support for custom and open-source models
Automated CI/CD
Comprehensive observability and alert systems

Frequently asked questions about Modelbit

Modelbit allows you to deploy ML models from any Python environment, including Jupyter, Hex, Deepnote, VS Code, and more.

Yes, Modelbit is backed by your git repository, allowing for version control, CI/CD, and code reviews using your git-based tools.

You can infer from diverse data sources like Snowflake, Redshift, dbt, and REST APIs using Modelbit.

Yes, Modelbit provides on-demand GPUs for training any custom ML model, offering instant availability of compute resources.

Modelbit includes robust logging, monitoring, and observability features, along with alerts to ensure comprehensive tracking and monitoring of your ML models.

Yes, you can schedule a demo of Modelbit to understand its features and functionalities better.

Absolutely, Modelbit supports CI/CD processes, enabling seamless integration and continuous deployment of your ML models.

You can deploy any custom or open-source ML models using Modelbit, making it highly versatile for varied requirements.

Yes, Modelbit includes built-in tools for MLOps, facilitating smoother operations and management of machine learning models.

Yes, you can deploy, scale, and manage your ML models in your own cloud or use Modelbit's infrastructure.

Modelbit's pricing

On-Demand:

$380/monthly

  • CPU compute
  • 0.5 compute seconds per inference
  • 10,000 inferences per day

On-Demand:

$165/monthly

  • T4 GPUs
  • 1.0 GPU compute seconds per inference
  • 500 object detections per day

Private

$25000/annual

  • Self-hosted deployment for PII privacy
  • Built with PyTorch

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