AWS EC2 GPU Guide: Quotas, G5/P4/P5 Instances & Setup (2026)
AdvancedEstimated setup time: 10 minutes•Updated for 2026 infrastructure
What You Need Before Starting
Step-by-Step Setup Walkthrough
3 Steps to First RunAccount Registration & Identity Verification
Step 1 of 3Complete AWS sign up with phone and credit card verification.
- •Sign up at aws.amazon.com. Complete automated SMS verification and address verification.
Request GPU Service Quota Increase (Mandatory Step)
Step 2 of 3By default, all new AWS accounts have a ZERO vCPU limit for GPU instances.
- •Navigate to 'Service Quotas' in the AWS Console.
- •Search for 'Amazon Elastic Compute Cloud (Amazon EC2)'.
- •Locate 'Running On-Demand G and VT instances' or 'Running On-Demand P instances'.
- •Click 'Request quota increase' and request at least 8 to 32 vCPUs. Approval typically takes 2 to 24 hours.
Launch EC2 GPU Instance with Deep Learning AMI
Step 3 of 3Deploy an instance with pre-configured NVIDIA drivers.
- •Go to EC2 → 'Launch Instance'.
- •Select 'AWS Deep Learning OSS Nvidia Driver AMI (Ubuntu 22.04)'.
- •Choose instance type: `g5.xlarge` (1x A10G 24GB) or `p4d.24xlarge` (8x A100 40GB).
- •Select your Key Pair and configure Security Group to allow Port 22 (SSH).
Insider Cost-Saving & Anti-Waste Tactics
Frequently Asked Questions (Amazon Web Services (AWS EC2 AI) Onboarding)
Q:Why is AWS so much more expensive than RunPod or Vast.ai?
AWS includes enterprise SLAs, extensive compliance certifications (HIPAA, FedRAMP, SOC2), global private VPC peering, and deep integration with the wider AWS ecosystem (S3, EKS, SageMaker), which carries a 2x-4x markup over specialized GPU clouds.
Q:How do I request an H100 (p5.48xlarge) quota on AWS?
P5 H100 instances require contacting AWS enterprise support or your designated AWS account manager with a documented business justification and committed spend projection.
Ready to Launch on Amazon Web Services (AWS EC2 AI)?
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