Amazon AWS vs Cudo Compute
Compare GPU pricing, features, and specifications between Amazon AWS and Cudo Compute cloud providers. Find the best deals for AI training, inference, and ML workloads.
Amazon AWS
Provider 1
Cudo Compute
Provider 2
Comparison Overview
Average Price Difference: $0.02/hour between comparable GPUs
GPU Pricing Comparison
| GPU Model ↑ | Amazon AWS Price | Cudo Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWSCudo Compute | 8x GPU | ↓$0.02(1.7%) | ||
A100 PCIE 40GB VRAM • $1.48/hour 8x GPU configuration Updated: 3/31/2025 ★Best Price $1.50/hour Updated: 5/15/2025 Price Difference:↓$0.02(1.7%) | ||||
A100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | 72x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
RTX A5000 24GB VRAM • Cudo Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Cudo Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Cudo Compute | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Amazon AWSCudo Compute | 8x GPU | ↓$0.02(1.7%) | ||
A100 PCIE 40GB VRAM • $1.48/hour 8x GPU configuration Updated: 3/31/2025 ★Best Price $1.50/hour Updated: 5/15/2025 Price Difference:↓$0.02(1.7%) | ||||
A100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • Amazon AWS | 72x GPU | Not Available | — | |
B200 192GB VRAM • | ||||
H100 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H100 80GB VRAM • | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • | ||||
RTX A5000 24GB VRAM • Cudo Compute | Not Available | — | ||
RTX A5000 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Cudo Compute | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
Tesla V100 32GB VRAM • Cudo Compute | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
Features Comparison
Amazon AWS
- Global Infrastructure
Extensive network of data centers across multiple regions worldwide
- Pay-as-you-go Pricing
Flexible pricing model with no upfront commitments required
- Advanced Security
Comprehensive security tools and compliance certifications
- Auto Scaling
Automatically adjust resources based on demand
- Integrated Services
Extensive ecosystem of services that work seamlessly together
- Developer Tools
Comprehensive suite of tools for development, deployment, and management
Cudo Compute
- GPU-first cloud
On-demand and reserved GPU capacity with models ranging from V100 and A40 to L40S, A800, A100 80 GB, and H100 SXM
- Cluster and bare metal options
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
- Global data center catalog
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
- API and automation
REST API and documented workflows for provisioning, scaling, and lifecycle automation
- Enterprise focus
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Pros & Cons
Amazon AWS
Advantages
- Broad range of compute options including GPUs
- Highly scalable and reliable infrastructure
- Pay-as-you-go pricing with cost optimization tools
- Extensive global network of data centers
Considerations
- Complex pricing structure
- Steep learning curve for new users
- Potential for unexpected costs without proper management
Cudo Compute
Advantages
- Wide GPU lineup including flagship H100 and A100 alongside cost-effective V100/A40/L40S options
- Data center coverage across UK, US, Nordics, and Africa for latency and sovereignty needs
- Transparent per-GPU pricing with visible commit-term discounts in the catalog
- Choice of VMs, bare metal, and clusters for different performance and tenancy needs
Considerations
- Smaller managed service ecosystem than hyperscalers
- GPU availability varies by data center and model
- Account approval may be required for larger reservations
Compute Services
Amazon AWS
Amazon EC2
Virtual servers in the cloud with a wide range of instance types.
Amazon ECS
Fully managed container orchestration service.
- Support for Docker containers
- Integration with other AWS services
Amazon EKS
Managed Kubernetes service for container orchestration.
- Certified Kubernetes conformant
- Integrates with AWS networking and security services
Cudo Compute
GPU Cloud
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
- Supports NVIDIA GPUs from V100 through H100 with per-GPU pricing
- Elastic storage and IPv4 reservation per instance
Virtual Machines
CPU and GPU-backed VMs for general workloads and AI inference.
- Multiple CPU families and memory/vCPU ratios
- Attach GPUs as needed for acceleration
Bare Metal and Clusters
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
- Supports H100, A100 80 GB, L40S, and A800 cluster builds
- Commitment options for capacity guarantees and better rates
Pricing Options
Amazon AWS
On-Demand Instances
Pay for compute capacity by the second with no long-term commitments.
Spot Instances
Use spare EC2 capacity at up to 90% off the On-Demand price.
Reserved Instances
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Savings Plans
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
Cudo Compute
On-demand GPU VMs
Hourly per-GPU pricing with published rates by data center and GPU model
Reserved Capacity
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Bare Metal and Cluster Quotes
Dedicated hardware and multi-node clusters priced per reservation with private networking options
Getting Started
Amazon AWS
- 1
Sign up for AWS
Create an AWS account to access the cloud platform.
- 2
Choose a compute service
Select from EC2, Lambda, or container services based on your workload needs.
- 3
Launch an instance
Configure and launch your first compute instance or container.
- 4
Set up security
Configure security groups and access controls for your resources.
- 5
Monitor and optimize
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
Cudo Compute
- 1
Create an account
Sign up and log into the Cudo Compute console.
- 2
Choose a data center
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
- 3
Select hardware
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
- 4
Launch a VM or cluster
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
- 5
Secure and monitor
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
Support & Global Availability
Amazon AWS
Global Regions
30+ regions and 100+ availability zones worldwide.
Support
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
Cudo Compute
Global Regions
Data centers listed across Manchester (UK), Stockholm and Kristiansand (Nordics), Lagos (Nigeria), and US sites including Carlsbad, Dallas, and New York, with additional locations in the catalog.
Support
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.
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