Softwr

Software Development · head to head

Amp vs Azure Machine Learning

A

Amp

Software Development

Amp is the frontier agent

From
$20/monthly
Rated
-
Azure Machine Learning logo

Azure Machine Learning

Machine Learning

Enterprise-grade machine learning service

From
Free
Rated
-

The short version

  • Only Azure Machine Learning has a free tier, so it costs nothing to try first.
  • Each has a real cost: Amp minimum $20/month subscription cost with limited orb hours (750); Azure Machine Learning requires knowledge of Azure ecosystem and integration with other Azure services

Where they differ

Only the attributes on which Amp and Azure Machine Learning actually diverge.

Attributes where Amp and Azure Machine Learning differ
AttributeAmpAzure Machine Learning
Starting price$20/monthlyFree
Pricing modelsubscriptionusage-based
Free tierNoYes
PlatformsWebAzure Cloud
CategorySoftware DevelopmentMachine Learning
FoundedUnknown1975

Identical on both: user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Amp

Nothing recorded that Azure Machine Learning does not also cover.

Only in Azure Machine Learning

  • Automated ML
  • Designer (drag-and-drop)
  • Notebooks
  • MLOps
  • Model registry
  • Azure Blob Storage
  • Azure DevOps
  • Power BI

What people use each for

The jobs each tool is most often brought in to do.

Amp

No use cases recorded yet. See the Amp review.

Azure Machine Learning

  • Machine learningnot Amp
  • Data analysisnot Amp
  • Model trainingnot Amp
  • Predictive analyticsnot Amp

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Amp

  • Minimum $20/month subscription cost with limited orb hours (750)
  • High-tier Gigawatt plan at $200/month required for ultra mode agents
  • Usage limits apply after included quotas are consumed each month
  • Each user limited to maximum of 2 simultaneous subscriptions

Azure Machine Learning

  • Requires knowledge of Azure ecosystem and integration with other Azure services
  • Compute resources for training and inference generate separate charges

Pricing, plan by plan

Amp

$20/monthly
  • Megawatt$20/monthly
    • All product features
    • 750 hours of orbs
    • Use your ChatGPT subscription
  • Gigawatt$200/monthly
    • Everything in Megawatt plus: 1
    • 000 hours of xxlarge orbs
    • $200 included agent usage
  • Education Discount$10/monthly
    • For students and teachers: full access at $10/month (50% off Megawatt)
  • Unconstrained$undefined/usage
    • Pay for what you use at standard rates
    • all agent modes
    • API pricing for model tokens and orbs

Azure Machine Learning

Free
  • Free TierFree
    • Limited compute
    • Basic features
  • Pay-as-you-go$0.05/hour
    • Full platform
    • All compute options
    • Enterprise features

Which should you pick?

Choose Amp if

Nothing in the data separates Amp from Azure Machine Learning on the points above - pick on price and on how each one feels to use.

Choose Azure Machine Learning if

  • You need automated ml.
  • You want to start without paying.
  • You work on Azure Cloud.
  • You also want designer (drag-and-drop).

Questions people ask

Is Amp or Azure Machine Learning better?
Neither clearly leads. Amp starts at $20/monthly and Azure Machine Learning at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amp or Azure Machine Learning?
Azure Machine Learning has a free tier; the other does not. Paid plans start at $20/monthly for Amp and Free for Azure Machine Learning.
Does Amp or Azure Machine Learning run on more platforms?
Amp runs on Web. Azure Machine Learning runs on Azure Cloud.
Can I use Azure Machine Learning for free?
Yes. Azure Machine Learning has a free tier, so you can try it without paying. Amp starts at $20/monthly.
What can Amp do that Azure Machine Learning cannot?
Azure Machine Learning covers Automated ML, Designer (drag-and-drop), Notebooks, MLOps.

Answered from the vendors’ own pages

Amp: How much does Amp cost per month?

Amp offers two main monthly plans: Megawatt at $20/month (750 hours of orbs) and Gigawatt at $200/month (1,000 hours of xxlarge orbs). Students and teachers get a 50% education discount ($10/month). Source: https://ampcode.com/pricing

Source
Azure Machine Learning: Does Azure Machine Learning have any platform licensing fees?

No, Azure Machine Learning carries no extra cost. You only pay for the underlying compute resources utilized during model training or inference.

Source
Amp: What usage is included in Amp subscriptions?

At minimum, Amp subscriptions include agent usage equal to the subscription cost per month. Depending on usage patterns, you may receive additional usage beyond the base guarantee. Megawatt includes 750 orb hours and Gigawatt includes 1,000 hours of xxlarge orbs.

Source
Azure Machine Learning: What AutoML capabilities does Azure Machine Learning provide?

Azure Machine Learning supports automated model creation for classification, regression, vision, and natural language processing tasks.

Source
Amp: Can I use my own ChatGPT subscription with Amp?

Yes, Amp subscribers who link a ChatGPT subscription pay no per-token fees and can use as many tokens as their third-party subscription allows, making it ideal for users who already have ChatGPT access.

Source
Azure Machine Learning: Does Azure ML support language model fine-tuning?

Yes, Azure Machine Learning supports fine-tuning of foundation models from providers including OpenAI, Meta, Hugging Face, and Cohere.

Source
Azure Machine Learning: What MLOps features are included?

Azure ML includes end-to-end pipeline automation with CI/CD capabilities, managed endpoints for model deployment, and monitoring tools.

Source
Azure Machine Learning: Can I access foundation models from multiple vendors?

Yes, Azure Machine Learning provides access to a model catalog with foundation models from Microsoft, OpenAI, Hugging Face, Meta, and Cohere.

Source
Share

Related pages

Other head to heads