Compute Comparison

AWS vs GPUniq: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Hyperscaler
Marketplace
Founded
2006
2023
Headquarters
Seattle, WA
Various
Billing model
On-demand, Reserved (1yr/3yr), Spot, Savings Plans
Per-second (marketplace)
Min commitment
None (on-demand)
None
Support tier
Basic → Enterprise
Standard
Regions
5 regions
1 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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GPUniq

GPUniq is a live GPU marketplace offering a wide range of hardware including NVIDIA B200 192GB, H200 141GB, H100 80GB, A100 80GB, and RTX 4090 with per-second billing. Prices are dynamic and set by marketplace supply and demand — observed minimums range from $0.48/hr (A100) to $9.42/hr (B200). The marketplace model means pricing can be significantly below fixed-rate providers during low-demand periods. A strong option for teams that want access to next-generation hardware (B200, H200) at marketplace rates.

Strengths
  • B200 192GB and H200 141GB availability
  • Per-second billing — pay only for what you use
  • Dynamic marketplace pricing — can be well below fixed rates
  • Wide GPU catalog from RTX 4090 to B200
Weaknesses
  • Marketplace model — prices and availability fluctuate
  • No guaranteed availability for specific GPU models
  • Newer provider — limited public track record
Best For
Teams wanting B200 or H200 at marketplace ratesCost-sensitive workloads with flexible schedulingShort-burst GPU jobs benefiting from per-second billing
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Live GPU Pricing

Live prices load below.

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

GPUniq

GPU marketplace — B200, H200, H100, A100, RTX 4090 with per-second billing

AttributeAWSGPUniq
Provider typehyperscalermarketplace
Billing modelOn-demand, Reserved (1yr/3yr), Spot, Savings PlansPer-second (marketplace)
Min commitmentNone (on-demand)None
Regions5 (us-east-1, us-west-2, eu-west-1, +2)1 (Various)
Support tierBasic → EnterpriseStandard
Best forHyperscale AI training requiring 1,000+ GPUs, Enterprise workloads needing compliance (HIPAA, FedRAMP, SOC 2)Teams wanting B200 or H200 at marketplace rates, Cost-sensitive workloads with flexible scheduling
Founded / HQ2006 · Seattle, WA2023 · Various