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AWS vs Northflank: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for AWS and Northflank. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
Provider type
Hyperscaler
Specialist
Founded
2006
2021
Headquarters
Seattle, WA
London, UK
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
On-demand
Min commitment
None (on-demand)
None
Support tier
Basic → Enterprise
Standard → Enterprise
Regions
5 regions
2 regions

Strengths & Best For

AWS

AWS EC2 P5 instances are powered by NVIDIA H100 Tensor Core GPUs (up to 8× H100, 640 GB HBM3, 3,200 Gbps EFA networking). P5e and P5en instances use NVIDIA H200 GPUs (up to 8× H200, 1,128 GB HBM3e). P5en adds Gen5 PCIe and third-generation EFA for 35% lower latency. All three families deploy in EC2 UltraClusters scaling to 20,000 GPUs with petabit-scale nonblocking networking delivering 20 exaflops aggregate. SageMaker HyperPod manages resilient training clusters at any scale. Amazon Bedrock provides serverless access to DeepSeek v3.2, MiniMax, Kimi 3, Z.AI GLM 5, and Writer Palmyra. 30+ global regions with enterprise SLAs.

Strengths
  • P5/P5e/P5en: H100 and H200 in UltraClusters up to 20,000 GPUs
  • 20 exaflops aggregate compute in EC2 UltraClusters
  • 3,200 Gbps EFA networking with GPUDirect RDMA
  • SageMaker HyperPod for resilient distributed training
  • Amazon Bedrock: serverless access to DeepSeek, MiniMax, Kimi, GLM, Palmyra
  • 30+ global regions with enterprise SLAs and compliance certifications
Weaknesses
  • Highest on-demand GPU rates among all providers
  • Complex pricing — on-demand vs reserved vs spot vs savings plans
  • GPU quota increases require support tickets and can take days
Best For
Hyperscale AI training requiring 1,000+ GPUsEnterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams already invested in the AWS ecosystemProduction ML inference via SageMaker
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Northflank

Northflank is a developer-focused PaaS platform offering GPU compute (L4, A100 40GB, A100 80GB, H100 80GB, RTX PRO 6000) alongside managed containers, CI/CD pipelines, databases, and cron jobs — all in one platform. GPU instances are available on-demand in US and EU regions. The platform is designed for teams that want to run GPU workloads as part of a broader application stack without managing raw cloud infrastructure. A strong choice for ML engineers who want GPU compute tightly integrated with deployment, scheduling, and application services.

Strengths
  • GPU compute integrated with PaaS — containers, CI/CD, databases in one platform
  • H100 80GB and RTX PRO 6000 availability
  • US and EU regions
  • Developer-friendly platform with managed services
  • On-demand billing with no minimum commitment
Weaknesses
  • PaaS model — less control than raw GPU clouds
  • Higher per-GPU cost than bare infrastructure
  • Smaller GPU catalog than specialist GPU clouds
Best For
ML engineers wanting GPU + application platform in one productTeams running GPU workloads alongside web services and databasesStartups wanting managed GPU infrastructure without cloud ops overheadEU and US teams needing flexible GPU PaaS
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Live GPU Pricing

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Region Coverage

AWS — 5 regions
us-east-1us-west-2eu-west-1ap-southeast-1ap-northeast-1

Popular Comparisons

Key differences

AWS

P5 (H100), P5e/P5en (H200), UltraClusters up to 20,000 GPUs — hyperscale AI infrastructure

Northflank

PaaS GPU compute — L4, A100, H100, RTX PRO 6000 with managed containers and CI/CD

AttributeAWSNorthflank
Provider typehyperscalerspecialist
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansOn-demand
Min commitmentNone (on-demand)None
Regions5 (us-east-1, us-west-2, eu-west-1, +2)2 (US, EU)
Support tierBasic → EnterpriseStandard → Enterprise
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)ML engineers wanting GPU + application platform in one product, Teams running GPU workloads alongside web services and databases
Founded / HQ2006 · Seattle, WA2021 · London, UK