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AWS vs CoreWeave: GPU Cloud for AI Startups

Deploybase · July 7, 2025 · GPU Cloud

Contents

Comparison Overview

AWS and CoreWeave represent different approaches to GPU infrastructure for AI startups. AWS offers comprehensive ecosystem integration but at premium pricing. CoreWeave focuses on GPU-native infrastructure with competitive rates. The choice depends on startup maturity and infrastructure priorities. As of March 2026, this comparison reflects current pricing and feature sets.

Strategic Positioning

AWS targets companies seeking integrated solutions. CoreWeave serves teams optimizing for compute efficiency. Most startups benefit from different providers at different growth stages.

Positioning summary:

  • AWS: broad ecosystem, higher cost, integrated services
  • CoreWeave: GPU-focused, cost-efficient, specialized support

Pricing Analysis

Direct GPU Cost Comparison

GPU instance pricing differs significantly between providers.

8x H100 cluster comparison (on-demand):

  • AWS p5.48xlarge: $55.04/hour (8× H100, $6.88/GPU)
  • CoreWeave 8x H100 cluster: $49.24/hour ($6.16/GPU)

CoreWeave costs ~11% less for 8-GPU H100 cluster deployments. Note: CoreWeave does not offer single H100 instances. For single-GPU workloads, RunPod ($2.69/hr H100 SXM) or Lambda Labs ($3.78/hr H100 SXM) provide more cost-effective options.

See AWS GPU pricing and CoreWeave pricing for current rates.

Monthly Budget Scenarios

Small production deployment (500 GPU-hours/month):

  • AWS: $2,000/month
  • CoreWeave: $1,350/month
  • Savings: $650/month = $7,800/year

Medium deployment (5,000 GPU-hours/month):

  • AWS: $20,000/month
  • CoreWeave: $13,450/month
  • Savings: $6,550/month = $78,600/year

Large deployment (50,000 GPU-hours/month):

  • AWS: $200,000/month
  • CoreWeave: $134,500/month
  • Savings: $65,500/month = $786,000/year

AWS reserved instances reduce costs 25-35%. CoreWeave spot pricing saves 40-60% more. Total cost gap narrows but CoreWeave maintains advantage.

Hidden Costs

Beyond GPU costs, additional expenses factor into total spending.

AWS advantages:

  • Integrated storage (S3) included in ecosystem
  • Data transfer between services minimal
  • No egress charges within AWS

CoreWeave considerations:

  • Storage costs separate from compute
  • Data transfer may incur charges
  • Integration with other services requires planning

Performance and Latency

Time to First Token

Time to first token depends on infrastructure and model configuration.

AWS p5 instance:

  • Typical TTFT: 80-120ms
  • Variance during peak: 150-200ms
  • Consistent performance with reserved capacity

CoreWeave H100 instance:

  • Typical TTFT: 60-90ms
  • Variance: 70-110ms
  • Lower variance due to dedicated infrastructure

CoreWeave achieves lower latency through bare metal access. AWS adds virtualization overhead but maintains stability.

Throughput Performance

Throughput (tokens/second) determines inference capacity.

Single GPU throughput (llama-7b quantized):

  • AWS: 700-850 tokens/second
  • CoreWeave: 750-900 tokens/second
  • Difference: CoreWeave 5-10% faster

Practical impact depends on batch size and sequence length. CoreWeave's bare metal configuration provides more consistent performance.

Multi-GPU Scaling

Distributed inference requires network bandwidth and latency.

8-GPU cluster latency:

  • AWS: additional 10-20ms overhead
  • CoreWeave: additional 5-10ms overhead
  • CoreWeave's InfiniBand speeds improve scaling efficiency

This difference matters for large batches. Small batch inference sees minimal difference.

Scaling and Flexibility

Rapid Scaling

Both providers support rapid resource provisioning. Availability differs significantly.

AWS scaling characteristics:

  • Spot instances: 5-10 minute provisioning
  • On-demand instances: variable availability during peak
  • Reserved capacity: immediate provision guaranteed
  • Regional limitations during demand surge

CoreWeave scaling characteristics:

  • Consistent availability across regions
  • Lower demand variability due to niche focus
  • Predictable provisioning times
  • Lower probability of capacity exhaustion

Startup unpredictability favors CoreWeave's smaller user base during traffic spikes.

Region and Infrastructure Variety

AWS provides more geographic regions but CoreWeave increasingly matches coverage.

AWS regions:

  • 30+ regions globally
  • Multiple GPU types per region
  • High regional variance in availability

CoreWeave regions:

  • 6-8 major regions
  • Growing regional capacity
  • More consistent availability

For global applications, AWS offers more options. Domestic-focused startups find CoreWeave sufficient.

Developer Experience

Integration with Development Tools

Integration depth differs significantly.

AWS advantages:

  • SageMaker notebooks pre-configured
  • Simple IAM integration with existing AWS accounts
  • Built-in monitoring through CloudWatch
  • Direct S3 integration

CoreWeave approach:

  • Brings the own container approach
  • Direct SSH access to instances
  • Simpler configuration, less abstraction

AWS provides more abstraction. CoreWeave requires more manual setup but offers greater control.

API and Management Interfaces

AWS EC2 API complexity exceeds CoreWeave's simpler interface.

AWS:

  • EC2 instances, security groups, VPCs to configure
  • 15+ configuration options per instance
  • Advanced networking options available

CoreWeave:

  • Web dashboard and API
  • Simpler configuration
  • Community support through Discord

AWS suits teams already familiar with AWS. CoreWeave works better for teams optimizing for simplicity.

Operational Complexity

Monitoring and Observability

Both providers offer monitoring but with different depth.

AWS CloudWatch:

  • Deep integration with EC2 metrics
  • Automatic collection of system metrics
  • Training costs add to monitoring complexity
  • Extensive dashboarding capabilities

CoreWeave monitoring:

  • Basic GPU utilization metrics
  • Real-time status dashboard
  • Third-party integration (Datadog, New Relic)
  • Simpler approach suits smaller teams

AWS monitoring scales better for complex deployments. CoreWeave sufficient for focused GPU workloads.

Container Management

Both support Docker and Kubernetes. Implementation differs.

AWS:

  • ECS (managed containers)
  • EKS (managed Kubernetes)
  • More features but complexity increases

CoreWeave:

  • Docker containers directly
  • Kubernetes support
  • Simpler default experience

CoreWeave removes abstraction layers. AWS adds managed services that introduce dependencies.

Cost Control

Preventing cost overruns requires different approaches.

AWS guardrails:

  • Budget alerts and limits
  • Reserved instance planning
  • Spot instance interruption handling
  • Complex billing makes cost tracking difficult

CoreWeave control:

  • Simpler billing model
  • Straightforward cost attribution
  • Lower risk of surprise charges
  • Spot pricing transparent

FAQ

Q: Which provider should an early-stage startup choose?

A: Choose CoreWeave initially for cost efficiency and simplicity. Switch to AWS when you need integrated services (S3, databases, multi-region compute). Many successful startups use both.

Q: How much will we save by choosing CoreWeave?

A: Savings depend on deployment size. Early stage (under 2000 GPU-hours/month) saves 20-30%. At scale (50,000+ GPU-hours/month) saves 35-45%.

Q: Can we switch between providers later?

A: Yes. Docker container portability means migration takes days. Data transfer costs exist but are manageable. Plan infrastructure-agnostically from the start.

Q: Which provider has better customer support?

A: AWS has larger support team but slower response. CoreWeave offers more personal support. Production customers prefer AWS for SLA options.

Q: Should we run training on AWS and inference on CoreWeave?

A: This hybrid approach works well. Run expensive training on AWS with SageMaker. Move trained models to CoreWeave for cost-efficient inference. Requires data transfer planning.

Q: Does AWS spot pricing beat CoreWeave?

A: No. CoreWeave spot pricing remains 20-30% cheaper than AWS spot. Interruption frequency is lower on CoreWeave.

Sources

  • AWS EC2 pricing documentation and calculator
  • CoreWeave service documentation and pricing
  • Customer deployment benchmarks
  • Third-party provider comparisons
  • Startup infrastructure case studies