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Machine Learning · head to head

AWS SageMaker vs Poolside

AWS SageMaker logo

AWS SageMaker

Machine Learning

Build, train, and deploy machine learning models at scale

From
Free
Free plan
Yes
Full reviewWebsite
Poolside logo

Poolside

AI

Open-weight foundation models built for agentic software engineering

From
$0.06/month
Free plan
No
Full reviewWebsite

The short version

  • Only AWS SageMaker has a free tier, so it costs nothing to try first.
  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; Poolside no self-serve public application; access is largely through enterprise sales or third-party model gateways
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, Poolside covers Laguna S 2.1.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which AWS SageMaker and Poolside actually diverge.

Attributes where AWS SageMaker and Poolside differ
AttributeAWS SageMakerPoolside
Starting priceFree$0.06/month
Pricing modelUnknownusage-based
Free tierYesNo
PlatformsWebweb, api, mac, windows, linux
CategoryMachine LearningAI
Founded20062023

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 AWS SageMaker

  • Jupyter notebooks
  • Built-in algorithms
  • Automatic model tuning
  • One-click deployment
  • Model monitoring
  • S3
  • Lambda
  • Step Functions

Only in Poolside

  • Laguna S 2.1
  • Laguna XS 2.1
  • Desktop and CLI tools
  • Open-weight models
  • Third-party gateway access

What people use each for

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

AWS SageMaker

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

Poolside

  • Enterprises deploying AI coding assistance across large developer organizationsnot AWS SageMaker
  • Government and defense agencies needing on-premise or sovereign coding modelsnot AWS SageMaker
  • Teams building custom coding agents on open-weight foundation modelsnot AWS SageMaker
  • Organizations wanting on-device lightweight coding modelsnot AWS SageMaker

Where each one falls short

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

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

Poolside

  • No self-serve public application; access is largely through enterprise sales or third-party model gateways
  • Pricing for the flagship enterprise and government offering is not public and requires a sales conversation
  • Targets organizations with large (5,000+) developer headcounts, making it a poor fit for individuals or small teams
  • Documentation and product surface area are thin compared to consumer-facing coding assistants

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

Poolside

$0.06/month
  • Laguna XS 2.1$undefined/month
    • $0.06 per 1M input tokens
    • $0.12 per 1M output tokens
    • Available via OpenRouter and Vercel AI Gateway
  • Laguna S 2.1$undefined/month
    • $0.10 per 1M input tokens
    • $0.20 per 1M output tokens
    • 1M token context window
  • Enterprise / Government$undefined/month
    • Custom contracts for large engineering organizations
    • Sales-quoted pricing
    • On-premise or dedicated deployment options

Which should you pick?

Choose AWS SageMaker if

  • You need jupyter notebooks.
  • You want to start without paying.
  • You also want built-in algorithms.
AWS SageMaker review

Choose Poolside if

  • You need laguna s 2.1.
  • You work on web, api, mac, windows, linux.
  • You also want laguna xs 2.1.
Poolside review

Questions people ask

Is AWS SageMaker or Poolside better?
Neither clearly leads. AWS SageMaker starts at Free and Poolside at $0.06/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or Poolside?
AWS SageMaker has a free tier; the other does not. Paid plans start at Free for AWS SageMaker and $0.06/month for Poolside.
Does AWS SageMaker or Poolside run on more platforms?
AWS SageMaker runs on Web. Poolside runs on web, api, mac, windows, linux.
Can I use AWS SageMaker for free?
Yes. AWS SageMaker has a free tier, so you can try it without paying. Poolside starts at $0.06/month.
What is AWS SageMaker best used for?
AWS SageMaker is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Poolside is typically brought in for.
What can AWS SageMaker do that Poolside cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. Poolside covers Laguna S 2.1, Laguna XS 2.1, Desktop and CLI tools, Open-weight models.

Answered from the vendors’ own pages

AWS 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.

Source
Poolside: How is Poolside's Laguna model usage priced?

Laguna XS 2.1 is priced at $0.06 per 1M input tokens and $0.12 per 1M output tokens; Laguna S 2.1 is $0.10 per 1M input tokens and $0.20 per 1M output tokens.

Source
AWS 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.

Source
Poolside: Where can I access Poolside's models?

Laguna models are available through third-party gateways OpenRouter and Vercel AI Gateway, as well as via Poolside's own desktop and CLI tools.

Source
AWS 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.

Source
Poolside: Does Poolside offer enterprise or government pricing?

Yes, Poolside offers custom, sales-quoted contracts for large enterprises and government/defense customers, including on-premise or dedicated deployment options.

Source
Poolside: How do I get started building with Poolside's models?

Poolside's documentation provides a quickstart guide for installing the `pool` CLI and running an agent task, alongside API documentation for custom integrations.

Source
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