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Compare GPU and LLM inference API pricing between Amazon AWS and Cudo Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $3.04/hour between comparable GPUs
| 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 • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 PCIe 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSCudo Compute | 8x GPU | ↑+$5.09(+284.4%) | ||
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/21/2026 $1.79/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$5.09(+284.4%) | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWSCudo Compute | ↑+$0.99(+113.9%) | |||
L40S 48GB VRAM • $1.86/hour Updated: 4/21/2026 $0.87/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$0.99(+113.9%) | ||||
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 T4 16GB VRAM • Amazon AWS | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
A40 48GB VRAM • Cudo Compute | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 PCIe 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Amazon AWSCudo Compute | 8x GPU | ↑+$5.09(+284.4%) | ||
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 4/21/2026 $1.79/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$5.09(+284.4%) | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 4/21/2026 ★Best Price Not Available | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWSCudo Compute | ↑+$0.99(+113.9%) | |||
L40S 48GB VRAM • $1.86/hour Updated: 4/21/2026 $0.87/hour Updated: 4/18/2026 ★Best Price Price Difference:↑+$0.99(+113.9%) | ||||
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 T4 16GB VRAM • Amazon AWS | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Extensive network of data centers across multiple regions worldwide
Flexible pricing model with no upfront commitments required
Comprehensive security tools and compliance certifications
Automatically adjust resources based on demand
Extensive ecosystem of services that work seamlessly together
Comprehensive suite of tools for development, deployment, and management
On-demand and reserved GPU capacity with latest NVIDIA models including H200, H100, A100 80 GB, L40S, and legacy options like V100 and A40
Deploy VMs, dedicated bare metal, or multi-node GPU clusters for training and inference
Marketplace view with locations in the UK, US, Nordics, and Africa plus renewable energy indicators
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Supports sovereignty requirements with regional choice, private networking, and support for reserved capacity
Design and manage GPU facilities powered by NVIDIA GB300 NVL72, B300 and GB200 systems for production-ready AI infrastructure
Virtual servers in the cloud with a wide range of instance types.
Fully managed container orchestration service.
Managed Kubernetes service for container orchestration.
On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.
CPU and GPU-backed VMs for general workloads and AI inference.
Dedicated servers and multi-node GPU clusters for high-performance training and rendering.
Pay for compute capacity by the second with no long-term commitments.
Use spare EC2 capacity at up to 90% off the On-Demand price.
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
Hourly per-GPU pricing with published rates by data center and GPU model
Commitment-based discounts across multiple term lengths for predictable spend and guaranteed supply
Dedicated hardware and multi-node clusters priced per reservation with private networking options
Create an AWS account to access the cloud platform.
Select from EC2, Lambda, or container services based on your workload needs.
Configure and launch your first compute instance or container.
Configure security groups and access controls for your resources.
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
Sign up and log into the Cudo Compute console.
Pick a location such as Manchester, Stockholm, Kristiansand, Lagos, or US regions to meet latency and sovereignty needs.
Pick your GPU model (e.g., H100, A100 80 GB, L40S, A800, V100) and configure vCPUs, RAM, and storage.
Deploy a single VM, bare-metal server, or scale out with clusters from the console or API.
Attach networking, reserve IPv4, and monitor usage through the dashboard or API endpoints.
30+ regions and 100+ availability zones worldwide.
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
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.
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.