Software Development · head to head
Amp vs AWS SageMaker

AWS SageMaker
Machine Learning
Build, train, and deploy machine learning models at scale
- From
- Free
- Rated
- -
The short version
- Only AWS SageMaker 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); AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult
Where they differ
Only the attributes on which Amp and AWS SageMaker actually diverge.
| Attribute | Amp | AWS SageMaker |
|---|---|---|
| Starting price | $20/monthly | Free |
| Pricing model | subscription | Unknown |
| Free tier | No | Yes |
| Category | Software Development | Machine Learning |
| Founded | Unknown | 2006 |
Identical on both: platforms (Web), 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 AWS SageMaker does not also cover.
Only in AWS SageMaker
- Jupyter notebooks
- Built-in algorithms
- Automatic model tuning
- One-click deployment
- Model monitoring
- S3
- Lambda
- Step Functions
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.
AWS SageMaker
- 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
AWS SageMaker
- Vendor lock-in to AWS ecosystem makes migration to other platforms difficult
- Opaque pricing can lead to unexpected expenses like forgotten EBS volume charges
- Does not include native job scheduling, requiring Lambda or EventBridge integration
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
AWS SageMaker
FreeNo published plan breakdown. See the AWS SageMaker review.
Which should you pick?
Choose Amp if
Nothing in the data separates Amp from AWS SageMaker on the points above - pick on price and on how each one feels to use.
Choose AWS SageMaker if
- You need jupyter notebooks.
- You want to start without paying.
- You also want built-in algorithms.
Questions people ask
- Is Amp or AWS SageMaker better?
- Neither clearly leads. Amp starts at $20/monthly and AWS SageMaker at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amp or AWS SageMaker?
- AWS SageMaker has a free tier; the other does not. Paid plans start at $20/monthly for Amp and Free for AWS SageMaker.
- Does Amp or AWS SageMaker run on more platforms?
- Both run on Web, so platform support will not decide this one for you.
- Can I use AWS SageMaker for free?
- Yes. AWS SageMaker has a free tier, so you can try it without paying. Amp starts at $20/monthly.
- What can Amp do that AWS SageMaker cannot?
- AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment.
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
SourceAWS SageMaker: What is AWS SageMaker used for?
AWS SageMaker is a machine learning service for building, training, and deploying ML models at scale. It provides tools for data preparation, model training, inference endpoints, and performance optimization.
SourceAmp: 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.
SourceAWS SageMaker: How is AWS SageMaker priced?
SageMaker uses pay-as-you-go pricing with no upfront costs or long-term commitments. Pricing starts at $0.04 per hour for basic notebook instances and scales based on instance type. ML Savings Plans offer up to 64% off with hourly spend commitments.
SourceAmp: 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.
SourceAWS SageMaker: Does AWS SageMaker have a free tier?
Yes, the free tier includes 250 hours of notebook usage, 50 hours of training, and 125 hours of hosting on ml.t3.medium instances during the first two months.
SourceRelated pages
More on AWS SageMaker
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