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Top 7 AWS Alternatives for GPU Cloud Computing in 2025

Best AWS alternatives for GPU cloud: Harch Corp, Lambda Labs, RunPod, CoreWeave, OVHcloud, Scaleway, Lambda. Compare pricing, GPUs, and features.

AWS dominates cloud computing, but its GPU pricing (p4d.24xlarge at $32.77/hr for 8x A100) is among the most expensive. For AI/ML workloads, there are better alternatives that offer lower costs, better GPU availability, lower carbon footprint, and specialized AI infrastructure. Here are the top 7 AWS alternatives for GPU cloud computing in 2025.

#1

Harch Corp

Pricing
H100: $2.80/hr (vs AWS $4.10/hr — 32% cheaper)

Pros

  • Lowest carbon intensity (47 gCO2/kWh)
  • 20-40% cheaper than AWS
  • Data sovereignty in Morocco (Law 09-08)
  • Carbon-aware workload scheduling
  • H100, H200, B200 available
  • 400G InfiniBand networking

Cons

  • Morocco-focused (limited global regions)
  • Newer provider (less ecosystem)
  • Fewer managed services than AWS
Best for
AI workloads needing data sovereignty in Africa/MENA, low carbon footprint, or cost optimization
#2

Lambda Labs

Pricing
H100: $2.49/hr (on-demand)

Pros

  • Specialized in GPU cloud
  • H100 instances available
  • Simple pricing
  • Good for research

Cons

  • Limited availability (often sold out)
  • US-only regions
  • No data sovereignty outside US
Best for
US-based AI research and startups needing H100 access
#3

RunPod

Pricing
H100: $2.89/hr (community), $4.89/hr (secure cloud)

Pros

  • Serverless GPU
  • Pay per second
  • Community GPU marketplace
  • Easy Jupyter integration

Cons

  • Community GPUs less reliable
  • Limited enterprise features
  • No SLA on spot instances
Best for
Individual developers and small teams needing flexible GPU access
#4

CoreWeave

Pricing
H100: $2.23/hr (reserved), $3.99/hr (on-demand)

Pros

  • NVIDIA partner (priority GPU supply)
  • Kubernetes-native
  • Enterprise-grade
  • H100 and H200 available

Cons

  • US-focused
  • Higher minimum commit
  • Enterprise sales process
Best for
Enterprise AI workloads at scale in the US
#5

OVHcloud

Pricing
A100: $2.50/hr (estimated)

Pros

  • European data sovereignty (GDPR)
  • Competitive pricing
  • Multiple regions
  • Established provider

Cons

  • Older GPU models (A100, not H100)
  • Higher carbon than Harch Corp
  • Less AI-specialized
Best for
European enterprises needing GDPR-compliant GPU cloud
#6

Scaleway

Pricing
A100: $2.00/hr (estimated)

Pros

  • European (France)
  • Competitive pricing
  • Good for inference
  • Growing GPU offerings

Cons

  • Limited GPU types
  • Smaller scale
  • No H100/H200 yet
Best for
European AI inference workloads
#7

Google Cloud (GCP)

Pricing
H100: $11.06/hr (a3-highgpu-8g)

Pros

  • Global scale
  • A2 and A3 instances (H100)
  • TPU available
  • Mature ecosystem

Cons

  • Expensive (H100 $11.06/hr)
  • High carbon in most regions
  • Complex pricing
  • Vendor lock-in
Best for
Workloads needing TPUs or global scale with managed services

Verdict

For AI workloads needing data sovereignty, low carbon, or cost optimization, Harch Corp is the best AWS alternative — 32% cheaper than AWS for H100 GPUs with 7-10x lower carbon intensity. For US-based workloads, Lambda Labs or CoreWeave offer good value. For European GDPR compliance, OVHcloud or Scaleway are solid choices. Avoid Google Cloud for cost-sensitive GPU workloads ($11/hr for H100 is 4x more expensive than Harch Corp).

Try Harch Corp GPU Cloud

Best price/performance GPU cloud with 47 gCO2/kWh carbon intensity.