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SageMaker Alternatives: Cheaper Cloud GPUs for Data Science (May 2025)

Eight services that undercut SageMaker on price while matching its ease of use

Published:

May 19, 2025

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Last updated:

May 19, 2025

Why look beyond SageMaker?

SageMaker is a managed ML platform, but you pay for that convenience in three ways:

  1. Higher base instance rates. An A10G (ml.g5.xlarge) is $1.21/hr and an A100 (ml.p4d.24xlarge) costs $37.68/hr for the whole 8-GPU node — you cannot rent a single A100. (SageMaker pricing)

  2. Always-on meters. Notebooks, endpoints and EBS storage keep billing until you shut them down.

  3. Regional GPU scarcity. Popular U.S. regions often have long wait times.

If your goal is fast, low-cost prototyping, the five alternatives below beat SageMaker on per-GPU price and let you start with a single GPU.

Quick cost comparison

Provider

GPU model

On-demand price per GPU hour*

Notes / source

Thunder Compute

A100 80 GB

$0.78

Thunder Compute pricing

RunPod

A100 80 GB

$1.19

RunPod pricing

Lambda Cloud

A100 40 GB

$1.29

Lambda GPU Cloud

Paperspace

A100 40 GB

$1.15

GPU price list

AWS SageMaker

A10G 24 GB

$1.21

SageMaker pricing

AWS SageMaker

A100 40 GB**

$4.71 (must rent 8×)

SageMaker ml.p4d.24xlarge

*U.S. East on-demand rates, May 2025.
**Effective per-GPU cost when you divide $37.68 by eight.

Five practical SageMaker alternatives

1. Thunder Compute

  • GPU focus: A100 40 GB and 80 GB nodes.

  • Pay-as-you-go: $0.57–$0.78 per GPU hour.

  • Developer workflow: Spin up EC2-style SSH instances or use the free VS Code extension to run notebooks against remote GPUs from your laptop. Starter templates (Llama 4 fine-tune, Stable Diffusion XL, LoRA, etc.) replace SageMaker JumpStart.

2. Plain EC2 + open-source tooling

EC2 g5.xlarge (A10G) costs $1.01/hr and p4d.24xlarge $32.77/hr, but you avoid the SageMaker surcharge and can script everything with Terraform or Ansible.

3. Paperspace Gradient

Notebook-centric workflow with one-click A100 jobs. A100 40 GB is $1.15/hr and storage is bundled, so it is simpler than SageMaker endpoints.

4. Lambda GPU Cloud

Targets multi-GPU jobs but also rents single A100s at $1.29/hr. Their CLI feels similar to AWS CLI and supports spot pools.

5. RunPod

Community pool offers A100 80 GB from $1.19/hr with per-second billing and automatic Jupyter images. Useful for bursty weekend experiments.

Thunder Compute vs SageMaker: apples-to-apples A100 math

Scenario

SageMaker

Thunder Compute

Fine-tune Llama 3 8B for 45 min

Needs ml.p4d (8 × A100) → $28.26

Single A100 40 GB → $0.57

Two hours of SDXL image tests

ml.g5.xlarge → $2.42

A100 40 GB → $1.14

Result: Thunder Compute is 95%+ cheaper for short, single-GPU jobs.

Developer experience considerations

Feature

SageMaker

Thunder Compute

IDE in browser

SageMaker Studio

VS Code remote extension

Bring your own Docker

Limited, needs ECR

Any public/private image

Templates / JumpStart

Built-in

Notebook templates in console

Stop-billing toggle

Manual shutdown of Studio, endpoints, EBS

thunder suspend or console button

Try Thunder Compute free

Ready to prototype? Create an account and claim $20 in monthly credits. Fire up an A100, open VS Code and start coding within minutes.

Looking for raw prices first? See the full Thunder Compute A100 pricing.

Carl Peterson

Try Thunder Compute

Start building AI/ML with the world's cheapest GPUs