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Compare GPU and LLM inference API pricing between Beam and Cudo Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.15/hour between comparable GPUs
| GPU Model ↑ | Beam Price | Cudo Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Beam | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Beam | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • BeamCudo Compute | ↓$0.15(17.2%) | |||
L40S 48GB VRAM • $0.72/hour Updated: 7/16/2026 ★Best Price $0.87/hour Updated: 7/16/2026 Price Difference:↓$0.15(17.2%) | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Beam | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A10 24GB VRAM • Beam | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Beam | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo Compute | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Beam | Not Available | — | ||
H200 141GB VRAM • | ||||
L40S 48GB VRAM • BeamCudo Compute | ↓$0.15(17.2%) | |||
L40S 48GB VRAM • $0.72/hour Updated: 7/16/2026 ★Best Price $0.87/hour Updated: 7/16/2026 Price Difference:↓$0.15(17.2%) | ||||
RTX 4090 24GB VRAM • Beam | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Beam | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Beam | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Only charged when your code runs, no charges for cold starts or server spin-up
Ultrafast boot times with advanced container optimization
Run untrusted code safely in isolated environments for AI agents and code interpreters
Pause and resume sessions while maintaining filesystem, memory, and running processes
Scale to zero when idle, burst to thousands of containers in seconds
Bring your own Docker images for full environment control
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
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
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.
Only pay for actual compute time with no minimum charges
Developer plan free with usage, Team plan starts at monthly base fee plus usage
All plans include monthly free credits for getting started
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
Sign up on the Beam platform
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam
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.
Global infrastructure across UK, EU, North America, APAC, and Middle East with ISO 27001-certified facilities and sovereign data residency options
Documentation, tutorials, and API reference; sales and support contacts with phone booking plus community channels like Discord.