What is the difference between Cudo Compute and Lyceum?

Cudo Compute and Lyceum 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: Cudo Compute or Lyceum?

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 Cudo Compute and Lyceum?

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 7 different GPU models across both Cudo Compute and Lyceum, with 0 models available from both providers.

Cudo Compute vs Lyceum

Compare GPU and LLM inference API pricing between Cudo Compute and Lyceum. Find the best rates for AI training, inference, and ML workloads.

Cudo Compute

Provider 1

GPUs Available

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Lyceum

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Cudo Compute GPUs

Lyceum GPUs

Direct Comparisons

Average Price Difference: $0.86/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 7Both available: 2Cudo Compute: 3Lyceum: 6

Showing 7 of 7 GPUs

Last updated: 10/29/2026, 1:44:22 AM

GPU Model ↑	Cudo Compute Price	Lyceum Price	Price Diff ↕	Sources
A100 PCIE 40GB VRAM • Cudo Compute	$1.50/hr★ Best	Not Available	—	Cudo Compute API
A100 PCIE 40GB VRAM • Cudo Compute $1.50/hour Updated: 10/28/2026 ★Best Price Not Available Cudo Compute API
A100 SXM 80GB VRAM • Lyceum	Not Available	$1.19/hr★ Best	—	Lyceum
A100 SXM 80GB VRAM • Not Available Lyceum $1.19/hour Updated: 10/26/2026 ★Best Price Lyceum
B200 180GB VRAM • Lyceum	Not Available	$4.49/hr★ Best	—	Lyceum
B200 180GB VRAM • Not Available Lyceum $4.49/hour Updated: 10/26/2026 ★Best Price Lyceum
H100 SXM 80GB VRAM • Cudo ComputeLyceum	$1.79/hr★ Best	$2.39/hr	↓$0.60(25.1%)	Cudo Compute API Lyceum
H100 SXM 80GB VRAM • Cudo Compute $1.79/hour Updated: 10/28/2026 ★Best Price Lyceum $2.39/hour Updated: 10/26/2026 Price Difference:↓$0.60(25.1%) Cudo Compute API Lyceum
H200 141GB VRAM • Lyceum	Not Available	$3.09/hr★ Best	—	Lyceum
H200 141GB VRAM • Not Available Lyceum $3.09/hour Updated: 10/26/2026 ★Best Price Lyceum
HGX B300 288GB VRAM • Lyceum	Not Available	$5.59/hr★ Best	—	Lyceum
HGX B300 288GB VRAM • Not Available Lyceum $5.59/hour Updated: 10/26/2026 ★Best Price Lyceum
L40S 48GB VRAM • Cudo ComputeLyceum	$0.87/hr★ Best	$1.99/hr	↓$1.12(56.3%)	Cudo Compute API Lyceum
L40S 48GB VRAM • Cudo Compute $0.87/hour Updated: 10/28/2026 ★Best Price Lyceum $1.99/hour Updated: 10/28/2026 Price Difference:↓$1.12(56.3%) Cudo Compute API Lyceum

A100 PCIE 40GB VRAM • Cudo Compute	$1.50/hr★ Best	Not Available	—	Cudo Compute API
A100 PCIE 40GB VRAM • Cudo Compute $1.50/hour Updated: 10/28/2026 ★Best Price Not Available Cudo Compute API
A100 SXM 80GB VRAM • Lyceum	Not Available	$1.19/hr★ Best	—	Lyceum
A100 SXM 80GB VRAM • Not Available Lyceum $1.19/hour Updated: 10/26/2026 ★Best Price Lyceum
B200 180GB VRAM • Lyceum	Not Available	$4.49/hr★ Best	—	Lyceum
B200 180GB VRAM • Not Available Lyceum $4.49/hour Updated: 10/26/2026 ★Best Price Lyceum
H100 SXM 80GB VRAM • Cudo ComputeLyceum	$1.79/hr★ Best	$2.39/hr	↓$0.60(25.1%)	Cudo Compute API Lyceum
H100 SXM 80GB VRAM • Cudo Compute $1.79/hour Updated: 10/28/2026 ★Best Price Lyceum $2.39/hour Updated: 10/26/2026 Price Difference:↓$0.60(25.1%) Cudo Compute API Lyceum
H200 141GB VRAM • Lyceum	Not Available	$3.09/hr★ Best	—	Lyceum
H200 141GB VRAM • Not Available Lyceum $3.09/hour Updated: 10/26/2026 ★Best Price Lyceum
HGX B300 288GB VRAM • Lyceum	Not Available	$5.59/hr★ Best	—	Lyceum
HGX B300 288GB VRAM • Not Available Lyceum $5.59/hour Updated: 10/26/2026 ★Best Price Lyceum
L40S 48GB VRAM • Cudo ComputeLyceum	$0.87/hr★ Best	$1.99/hr	↓$1.12(56.3%)	Cudo Compute API Lyceum
L40S 48GB VRAM • Cudo Compute $0.87/hour Updated: 10/28/2026 ★Best Price Lyceum $1.99/hour Updated: 10/28/2026 Price Difference:↓$1.12(56.3%) Cudo Compute API Lyceum

LLM API Pricing Comparison

Total models: 12Both available: 0Cudo Compute: 0Lyceum: 12

Showing 12 of 12 models

Prices per 1M tokens · Last updated: 10/29/2026, 1:44:22 AM

Model ↑	Cudo Compute	Lyceum	Input Diff ↕
DeepSeek V4 Flash DeepSeek	Not available	$0.250 in $0.300 out	—
DeepSeek V4 Pro DeepSeek	Not available	$2.00 in $4.00 out	—
DeepSeek V4.1 Flash DeepSeek	Not available	$0.500 in $1.50 out	—
GLM-5.2 Z.ai	Not available	$1.50 in $4.50 out	—
GLM-5.3 Z.ai	Not available	$1.40 in $4.40 out	—
GLM-5.3-Flash Z.ai	Not available	$0.200 in $0.500 out	—
Kimi K2.7 Code Moonshot AI	Not available	$1.25 in $4.50 out	—
Kimi K3 Moonshot AI	Not available	$3.00 in $15.00 out	—
MiniMax-M3 MiniMax	Not available	$0.400 in $2.00 out	—
Qwen3.8 2.4T A95B Alibaba	Not available	$2.50 in $6.00 out	—
Qwen3.8 27B Alibaba	Not available	$0.400 in $2.40 out	—
Qwen3.8-Flash-Next Alibaba	Not available	$0.200 in $0.500 out	—

Features Comparison

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

Lyceum

Serverless Inference
API access to open-source models with pay-per-token pricing.
Dedicated Endpoints
Reserved GPU capacity for production models ensuring low latency and high availability.
Serverless Training
Run training jobs on GPUs without the need for infrastructure management.
GPU Virtual Machines
Full root access to customizable GPU instances ready in seconds.
Large-Scale Clusters
Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.
OpenAI-Compatible API
Serverless models are served through an OpenAI-compatible endpoint, so existing OpenAI SDK code works by changing the base URL and API key.

Pros & Cons

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

Lyceum

Advantages

Instant availability of GPUs with minimal provisioning time.
No capacity planning or vendor lock-in required.
Complies with EU data residency requirements.

Considerations

Dedicated endpoint and reserved capacity pricing is agreed per contract rather than published.
Spot GPUs can be reclaimed, and not every GPU type is offered as spot.
Data centres are in Europe only.

Compute Services

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

Lyceum

Pricing Options

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

Lyceum

Serverless inference

Billed per token for input, cached input and output, with no base fee

Prompt caching

Repeated prompt prefixes still in GPU memory are billed at the cached input rate where listed

On-demand GPUs

Billed per second with no subscription

Spot GPUs

About 45% less than on-demand; capacity can be reclaimed

Reserved GPUs, clusters and dedicated endpoints

Commitment pricing agreed per contract, including multi-year reserved blocks

Getting Started

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.

Lyceum

Get Started

1
Sign Up
Create an account on the Lyceum platform.
2
Choose a Service
Select between inference, training, or virtual machine options.
3
Deploy a Model or Job
Use provided API or CLI instructions to submit your workload.
4
Monitor Usage
Utilize dashboard features to track resource usage and performance.
5
Seek Support if Needed
Contact the sales or support team for assistance.

Support & Global Availability

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.

Lyceum

Global Regions

European data centres; serverless models run in Paris and Finland, while dedicated and VM locations are agreed per contract

Support

Email support for all customers; business customers also get a shared Slack channel and agreed response times.