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Compare GPU pricing between Cudo Compute and UpCloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.18/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | UpCloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
B200 180GB VRAM • UpCloud | Not Available | 2x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeUpCloud | ↓$0.26(12.8%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 8/21/2026 ★Best Price $2.05/hour Updated: 8/7/2026 Price Difference:↓$0.26(12.8%) | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeUpCloud | ↓$0.09(9.1%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 8/21/2026 ★Best Price $0.96/hour Updated: 8/7/2026 Price Difference:↓$0.09(9.1%) | ||||
A100 PCIE 40GB VRAM • Cudo Compute | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
B200 180GB VRAM • UpCloud | Not Available | 2x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Cudo ComputeUpCloud | ↓$0.26(12.8%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 8/21/2026 ★Best Price $2.05/hour Updated: 8/7/2026 Price Difference:↓$0.26(12.8%) | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeUpCloud | ↓$0.09(9.1%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 8/21/2026 ★Best Price $0.96/hour Updated: 8/7/2026 Price Difference:↓$0.09(9.1%) | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
Compare Cudo Compute with another leading provider
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
No shared hardware — each GPU is always dedicated to a single server with full performance isolation
Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating
GDPR-compliant infrastructure in Finland with strong jurisdictional protections and no third-party dependencies
No egress fees — outbound data transfer is included at no extra cost
Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required
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.
On-demand and spot NVIDIA L4, L40S, H100, and B200 GPU instances with dedicated hardware and AMD EPYC processors
Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs
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
Hourly billing for L4, L40S, H100, and B200 GPU instances with no upfront commitment — pay only for active compute time
Discounted spot pricing for GPU Servers, offering lower hourly rates for interruptible workloads
Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL
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.
Sign up at upcloud.com and complete account verification
Choose from NVIDIA L4, L40S, H100, or B200 GPU configurations with varying vCPU and RAM options
Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks
Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data
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.
Helsinki, Finland (Telia Helsinki Data Center)
Documentation, API reference, and support team available through the UpCloud control panel