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Machine Learning & Data Science · head to head

AWS SageMaker vs ChatGPT

AWS SageMaker logo

AWS SageMaker

Machine Learning & Data Science

Build, train, and deploy machine learning models at scale

From
Free
Rated
-
Full reviewWebsite
ChatGPT logo

ChatGPT

All industries

AI-powered conversational assistant for productivity and creativity

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS SageMaker vendor lock-in to AWS ecosystem makes migration to other platforms difficult; ChatGPT openAI's own pricing page, as captured by the Internet Archive in 2023, listed ChatGPT Plus at $20 per user per month, Team at $25 to $30 per user per month with a minimum of 2 users, and Enterprise available only from 150 users. The live page refuses automated reads, so these are 2023 figures and the tiers have changed since.
  • They diverge on capability: AWS SageMaker covers Jupyter notebooks, ChatGPT covers Natural language conversation.

Where they differ

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

Attributes where AWS SageMaker and ChatGPT differ
AttributeAWS SageMakerChatGPT
Pricing modelUnknownfreemium
PlatformsWebWeb, Ios, Android, Api
CategoryMachine Learning & Data ScienceAll industries
Founded20062015

Identical on both: starting price (Free), free tier (Yes), 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 ChatGPT

  • Natural language conversation
  • Code generation and debugging
  • Text analysis and summarization
  • Creative writing assistance
  • Math and problem solving
  • Language translation
  • Research assistance
  • Image generation (DALL-E)

Both cover

  • Web support

What people use each for

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

AWS SageMaker

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

ChatGPT

  • Content creationnot AWS SageMaker
  • Code assistancenot AWS SageMaker
  • Research and analysisnot AWS SageMaker
  • Learning and educationnot AWS SageMaker
  • Creative writingnot 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

ChatGPT

  • OpenAI's own pricing page, as captured by the Internet Archive in 2023, listed ChatGPT Plus at $20 per user per month, Team at $25 to $30 per user per month with a minimum of 2 users, and Enterprise available only from 150 users. The live page refuses automated reads, so these are 2023 figures and the tiers have changed since.

Pricing, plan by plan

AWS SageMaker

Free

No published plan breakdown. See the AWS SageMaker review.

ChatGPT

Free
  • FreeFree
    • Access to GPT-3.5
    • Standard response speed
    • Regular model updates
  • ChatGPT Plus$20/month
    • Access to GPT-4
    • Faster response times
    • Priority access during peak times

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 ChatGPT if

  • You need natural language conversation.
  • You want to start without paying.
  • You work on Web, Ios, Android, Api.
  • You also want code generation and debugging.
ChatGPT review

Questions people ask

Is AWS SageMaker or ChatGPT better?
Neither clearly leads. AWS SageMaker starts at Free and ChatGPT at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS SageMaker or ChatGPT?
AWS SageMaker starts at Free and ChatGPT at Free.
Does AWS SageMaker or ChatGPT run on more platforms?
AWS SageMaker runs on Web. ChatGPT runs on Web, Ios, Android, Api.
Can I use AWS SageMaker for free?
Both have a free tier, so you can try either at no cost before committing.
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 ChatGPT is typically brought in for.
What can AWS SageMaker do that ChatGPT cannot?
AWS SageMaker covers Jupyter notebooks, Built-in algorithms, Automatic model tuning, One-click deployment. ChatGPT covers Natural language conversation, Code generation and debugging, Text analysis and summarization, Creative writing assistance. Both handle Web support.

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
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
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
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