What is the difference between Atlas Cloud and Cudo Compute?

Atlas Cloud and Cudo Compute are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Atlas Cloud or Cudo Compute?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Atlas Cloud and Cudo Compute?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 4 different GPU models across both Atlas Cloud and Cudo Compute, with 0 models available from both providers.

Loading comparison data...

Loading Comparison

Fetching pricing data and provider information...

Atlas Cloud vs Cudo Compute

Compare GPU pricing between Atlas Cloud and Cudo Compute. Find the best rates for AI training, inference, and ML workloads.

Atlas Cloud

Provider 1

GPUs Available

Visit Website

Cudo Compute

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Atlas Cloud GPUs

Cudo Compute GPUs

Direct Comparisons

Average Price Difference: $1.16/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 4Both available: 1Atlas Cloud: 2Cudo Compute: 3

Showing 4 of 4 GPUs

Last updated: 9/13/2026, 5:40:05 AM

GPU Model ↑	Atlas Cloud Price	Cudo Compute Price	Price Diff ↕	Sources
A100 PCIE 40GB VRAM • Cudo Compute	Not Available	$1.50/hr★ Best	—	Cudo Compute API
A100 PCIE 40GB VRAM • Not Available Cudo Compute $1.50/hour Updated: 9/12/2026 ★Best Price Cudo Compute API
H100 SXM 80GB VRAM • Atlas CloudCudo Compute	$2.95/hr	$1.79/hr★ Best	↑+$1.16(+64.8%)	Atlas Cloud Cudo Compute API
H100 SXM 80GB VRAM • Atlas Cloud $2.95/hour Updated: 9/13/2026 Cudo Compute $1.79/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.16(+64.8%) Atlas Cloud Cudo Compute API
H200 141GB VRAM • Atlas Cloud	$3.50/hr★ Best	Not Available	—	Atlas Cloud
H200 141GB VRAM • Atlas Cloud $3.50/hour Updated: 9/13/2026 ★Best Price Not Available Atlas Cloud
L40S 48GB VRAM • Cudo Compute	Not Available	$0.87/hr★ Best	—	Cudo Compute API
L40S 48GB VRAM • Not Available Cudo Compute $0.87/hour Updated: 9/12/2026 ★Best Price Cudo Compute API

A100 PCIE 40GB VRAM • Cudo Compute	Not Available	$1.50/hr★ Best	—	Cudo Compute API
A100 PCIE 40GB VRAM • Not Available Cudo Compute $1.50/hour Updated: 9/12/2026 ★Best Price Cudo Compute API
H100 SXM 80GB VRAM • Atlas CloudCudo Compute	$2.95/hr	$1.79/hr★ Best	↑+$1.16(+64.8%)	Atlas Cloud Cudo Compute API
H100 SXM 80GB VRAM • Atlas Cloud $2.95/hour Updated: 9/13/2026 Cudo Compute $1.79/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.16(+64.8%) Atlas Cloud Cudo Compute API
H200 141GB VRAM • Atlas Cloud	$3.50/hr★ Best	Not Available	—	Atlas Cloud
H200 141GB VRAM • Atlas Cloud $3.50/hour Updated: 9/13/2026 ★Best Price Not Available Atlas Cloud
L40S 48GB VRAM • Cudo Compute	Not Available	$0.87/hr★ Best	—	Cudo Compute API
L40S 48GB VRAM • Not Available Cudo Compute $0.87/hour Updated: 9/12/2026 ★Best Price Cudo Compute API

Features Comparison

Atlas Cloud

400+ AI Models
Unified access to models from DeepSeek, Qwen, ByteDance, Black Forest Labs, Luma, MoonshotAI, MiniMax, and more
OpenAI-Compatible API
Drop-in replacement for OpenAI SDK - just change the base URL and API key
Multi-Modal Support
Text, image, video, and audio generation through consistent API patterns
MCP Integration
Use Atlas Cloud AI models directly in Cursor, Claude Desktop, VS Code, and more
GPU Cloud Services
Deploy custom models with Serverless GPU or rent DevPods for development
CLI
Run chat, model discovery, and image or video generation from the terminal

Cudo Compute

Enterprise GPU infrastructure
Dedicated access to NVIDIA GPUs including GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 in SXM and PCIe form factors
AI clusters
Multi-node GPU clusters for training and inference, commissioned to acceptance criteria before entering production
Regional deployment
Infrastructure across the UK, EU, North America, APAC, and the Middle East with in-region options for latency, residency, and regulatory needs
Managed operations
Foundational SRE included as standard with 24/7 monitoring, incident response, firmware management, and NVIDIA escalation paths
API and automation
REST API and documented workflows for provisioning, scaling, and lifecycle automation
Security and sovereignty
Controlled environments for enterprise and regulated workloads with jurisdictional control and sovereign data residency enforcement

Pros & Cons

Atlas Cloud

Advantages

Unified API for 400+ AI models from multiple providers
OpenAI-compatible interface for easy migration
Multi-modal capabilities (text, image, video, audio)
Developer-friendly with comprehensive documentation

Considerations

Relatively new platform compared to established providers
GPU cloud offering is secondary to API aggregation service
Limited GPU infrastructure details compared to dedicated GPU clouds

Cudo Compute

Advantages

Current NVIDIA lineup spanning GB300, B300, VR200, GB200 NVL72, HGX B200, H200, and H100 systems
Data center coverage across UK, EU, North America, APAC, and Middle East for latency and residency requirements
Full lifecycle delivery covering architecture, deployment, and 24/7 operations by NVIDIA-certified engineers
ISO 27001 and SOC 2 aligned environments with GDPR-aligned operations and sovereign data residency enforcement

Considerations

Catalog GPU systems are quote-on-request, so published rates are not available for comparison
Positioned for enterprise cluster deployments rather than small-scale or experimental use
Smaller managed service ecosystem than hyperscalers

Compute Services

Atlas Cloud

Model APIs

Access to 400+ AI models through unified API

GPU Cloud

Deploy custom models and development environments

Cudo Compute

GPU Cloud

On-demand and reserved GPU VMs with configurable vCPU, memory, and storage.

Hourly per-GPU billing for NVIDIA H100 and H200 instances
Elastic storage and IPv4 reservation per instance

AI Clusters

Dedicated multi-node GPU clusters for high-performance training and inference.

Supports H200, H100, HGX B200, GB200 NVL72, B300, and GB300 cluster builds
Automated deployment using golden images, health checks, and benchmarking frameworks

Network and Storage

InfiniBand and Ethernet fabrics with high-performance storage for cluster workloads.

InfiniBand fabric design for multi-node training
High-performance storage built on VAST, Weka, or DDN

Pricing Options

Atlas Cloud

Pay-as-you-go

Transparent pricing with volume discounts available for API usage

GPU Cloud Pricing

Flexible pricing for serverless GPU deployments and development pods

Cudo Compute

On-demand GPU VMs

Hourly per-GPU billing for virtual machine instances with no commitment

Quote-based cluster pricing

GPU systems in the published catalog are priced on request, with enquiries handled by the sales team

OPEX consumption models

Consumption-based commercial structures for predictable spend on long-term deployments

Long-term commercial agreements

Multi-year structures with defined upgrade paths across GPU generations and into multi-site environments

Getting Started

Atlas Cloud

Get Started

1
Create an account
Sign up for an account at console.atlascloud.ai
2
Get your API key
Generate API keys for authentication
3
Make your first API call
Start using 400+ AI models through the unified API

Cudo Compute

Get Started

1
Contact the team
Submit an enquiry from the pricing or contact page describing your workload, capacity, and region requirements.
2
Choose a region
Select a jurisdiction in the UK, EU, North America, APAC, or the Middle East to meet latency, residency, and compliance needs.
3
Design
Cudo produces an NVIDIA reference-aligned architecture covering InfiniBand fabric, storage, power, cooling, and rack layout.
4
Deploy
Systems are sourced through OEM channels including Dell, Lenovo, Supermicro, and HPE, then installed at power-ready sites against confirmed timelines.
5
Run
Clusters are commissioned to acceptance criteria and operated with 24/7 monitoring, incident response, and firmware management.

Support & Global Availability

Atlas Cloud

Global Regions

Managed inference infrastructure; specific regions are not published

Support

Comprehensive API documentation, SDK support, FAQ, and contact support

Cudo Compute

Global Regions

Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options

Support

Enterprise SLAs with 24/7 infrastructure monitoring, L3 incident response, and lifecycle operations delivered by NVIDIA-certified engineers; sales and technical enquiries via the contact page.