What is the difference between Beam and Cudo Compute?

Beam 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: Beam 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 Beam 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 5 different GPU models across both Beam and Cudo Compute, with 0 models available from both providers.

Beam vs Cudo Compute

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

Beam

Provider 1

GPUs Available

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Cudo Compute

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Beam GPUs

Cudo Compute GPUs

Direct Comparisons

Average Price Difference: $1.71/hour between comparable GPUs

GPU Pricing Comparison

Total GPUs: 5Both available: 1Beam: 3Cudo Compute: 3

Showing 5 of 5 GPUs

Last updated: 10/29/2026, 1:41:17 AM

GPU Model ↑	Beam 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: 10/28/2026 ★Best Price Cudo Compute API
H100 SXM 80GB VRAM • BeamCudo Compute	$3.50/hr	$1.79/hr★ Best	↑+$1.71(+95.5%)	Beam Cudo Compute API
H100 SXM 80GB VRAM • Beam $3.50/hour Updated: 10/27/2026 Cudo Compute $1.79/hour Updated: 10/28/2026 ★Best Price Price Difference:↑+$1.71(+95.5%) Beam Cudo Compute API
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: 10/28/2026 ★Best Price Cudo Compute API
RTX 4090 24GB VRAM • Beam	$0.69/hr★ Best	Not Available	—	Beam
RTX 4090 24GB VRAM • Beam $0.69/hour Updated: 10/27/2026 ★Best Price Not Available Beam
RTX 5090 32GB VRAM • Beam	$1.09/hr★ Best	Not Available	—	Beam
RTX 5090 32GB VRAM • Beam $1.09/hour Updated: 10/27/2026 ★Best Price Not Available Beam

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: 10/28/2026 ★Best Price Cudo Compute API
H100 SXM 80GB VRAM • BeamCudo Compute	$3.50/hr	$1.79/hr★ Best	↑+$1.71(+95.5%)	Beam Cudo Compute API
H100 SXM 80GB VRAM • Beam $3.50/hour Updated: 10/27/2026 Cudo Compute $1.79/hour Updated: 10/28/2026 ★Best Price Price Difference:↑+$1.71(+95.5%) Beam Cudo Compute API
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: 10/28/2026 ★Best Price Cudo Compute API
RTX 4090 24GB VRAM • Beam	$0.69/hr★ Best	Not Available	—	Beam
RTX 4090 24GB VRAM • Beam $0.69/hour Updated: 10/27/2026 ★Best Price Not Available Beam
RTX 5090 32GB VRAM • Beam	$1.09/hr★ Best	Not Available	—	Beam
RTX 5090 32GB VRAM • Beam $1.09/hour Updated: 10/27/2026 ★Best Price Not Available Beam

Features Comparison

Beam

Pay-per-millisecond Billing
Only charged when your code runs, no charges for cold starts or server spin-up
Sub-second Cold Starts
Memory snapshots and GPU checkpoint restore bring containers back in seconds, which Beam reports as up to 35x faster than a traditional cold boot
Secure Sandbox Environments
Run untrusted code safely in isolated environments for AI agents and code interpreters
Stateful, Persistent Runtimes
Pause and resume sessions while maintaining filesystem, memory, and running processes
Elastic GPU Scaling
Scale to zero when idle, burst to thousands of containers in seconds
Custom Docker Images
Bring your own Docker images for full environment control, including running the Docker daemon inside containers

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

Beam

Advantages

Pay-per-millisecond billing with no charges for cold starts
Ultrafast boot times with sub-second cold starts via memory snapshots
GPU selection spanning RTX 4090 through B200, plus InfiniBand cluster nodes
On-demand machines priced flat per machine, including vCPU, RAM, and NVMe storage

Considerations

Serverless GPUs other than the RTX 4090 require a committed-spend agreement
GPU container concurrency is capped on the lower plan tiers
Multi-node InfiniBand clusters are sales-only with no published pricing

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

Beam

Inference Endpoints

Deploy high-performance inference endpoints with custom models

Custom model hosting on GPU or CPU
Pre-loading models for fast response times

Sandboxes

Secure code execution environments for AI agents

Run untrusted LLM-generated code safely
Snapshot and restore complete system state

Task Queues

Run large-scale workloads with distributed processing

Audio processing pipelines
Data processing at scale

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

Beam

Pay-per-millisecond

Serverless GPU, CPU, and sandbox usage billed by the millisecond with no minimum charges

Committed Spend

Serverless access to GPUs beyond the RTX 4090 is arranged through a committed-spend agreement

On-Demand Machines

Flat hourly price per machine that already includes the vCPU, RAM, and NVMe storage

Reserved Clusters

Multi-node InfiniBand clusters reserved monthly or yearly, quoted through sales

Bring Your Own Cloud

Per-vCPU and per-GB management fee on top of compute billed directly by your own cloud provider

Storage

Persistent volumes and snapshots included up to a capacity threshold, then billed per GB per month

Monthly Plans

Developer plan free with usage, Team plan with a monthly base fee plus usage, and a contact-sales Growth tier

Free Monthly Credits

All plans include monthly free credits that refresh each month

Volume Discounts

Discounts available for high monthly usage, arranged through sales

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

Beam

Get Started

1
Create an account
Sign up on the Beam platform to receive monthly free credits
2
Set up Python environment
Create a virtual environment and install the Beam SDK
3
Authenticate with API token
Configure your API token to connect to Beam
4
Deploy your first app
Run a function locally, then deploy it as a web endpoint with the Beam CLI

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

Beam

Global Regions

30+ regions spanning the US, EU, Asia-Pacific, and Canada, with workloads routed across clouds and regions in real time

Support

Documentation, public Slack community, and a status page; live chat support on paid plans and a private Slack channel on the top tier

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.