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AI Infrastructure & MLOps Paid

Mystic AI

Managed and bring-your-own-cloud infrastructure for deploying machine-learning models

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PricingPaid
Starting price$0.10/hr
Free planUnknown
Free trialYes
APIYes
Open sourceNo
DeploymentHybrid
Last verifiedAugust 1, 2026
Overview

Tool overview

Mystic AI is listed under AI Infrastructure & MLOps AI tools.

Summary

What is Mystic AI?

Mystic helps developers package, deploy, scale, version, and operate machine-learning inference pipelines. Models can run on Mystic serverless GPUs, inside the customer’s cloud account, or through custom pipeline containers.

Best fit

Best for

Developers deploying custom ML inference with serverless or customer-cloud GPUs

Audience

Who is it for?

Machine learning engineersAI infrastructure teamsPython developersMLOps teamsGPU inference developers
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Python SDK for typed model pipelines

Serverless inference on fractional and full GPUs

Bring-your-own-cloud deployment with automatic scaling

Scale-to-zero and configurable replica limits

Versioned pointers for controlled production releases

REST API, logs, files, streaming, and team workspaces

Workflows

Use cases

Deploying custom machine-learning models

Serving GPU inference through APIs

Using customer cloud credits for model hosting

Running fractional GPUs for low-volume workloads

Automating model releases through CI/CD

Strengths

Pros

  • Supports custom models and Docker containers
  • Offers serverless and customer-cloud deployment
  • Fractional GPUs reduce low-volume cost
  • API and SDK provide programmatic control
Considerations

Limitations

Inference reliability and cost depend on model containers, GPUs, scaling, and traffic. Teams should benchmark startup time, throughput, API behavior, logs, cloud permissions, and recovery before production use.

Cost

Pricing details

Pricing modelPaid
Starting price$0.10/hr
Free planUnknown
Free trialYes
Pricing context

Billing options

Per-second GPU usageHourly GPU rateBring-your-own-cloud subscription
Pricing context

Pricing note

Published serverless rates include CPU at $0.10 per hour, T4 at $0.40, L4 at $0.75, and fractional A100 capacity from $0.429 per hour. BYOC uses cloud-provider compute plus Mystic SaaS billing. Current free-plan and trial terms are not confirmed.

View official pricing
Compatibility

Supported languages

  • Python
  • REST API
  • YAML
Connectivity

Integrations

Docker

Google Cloud

Python SDK

REST API

vLLM

Hugging Face models

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentHybrid
CompanyMystic
Launch year2019
Models / versionsPipeline SDK Serverless endpoints BYOC
Editions / plansServerless Bring Your Own Cloud PCore deployment
Data confidenceHigh
Last verifiedAugust 1, 2026
Documentation → Data source →
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Answers

Frequently asked questions

Mystic helps developers package, deploy, scale, version, and operate machine-learning inference pipelines. Models can run on Mystic serverless GPUs, inside the customer’s cloud account, or through custom pipeline containers.
Developers deploying custom ML inference with serverless or customer-cloud GPUs
The listed pricing model for Mystic AI is paid. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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