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Compare GPU and LLM inference API pricing between Cudo Compute and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.60/hour between comparable GPUs
| GPU Model ↑ | Cudo Compute Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Cudo ComputeIO.NET | 2x GPU | ↓$0.58(28.0%) | ||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 4/18/2026 ★Best Price $2.08/hour 2x GPU configuration Updated: 4/18/2026 Price Difference:↓$0.58(28.0%) | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • Cudo ComputeIO.NET | ↓$1.12(74.2%) | |||
A40 48GB VRAM • $0.39/hour Updated: 4/18/2026 ★Best Price $1.51/hour Updated: 4/20/2026 Price Difference:↓$1.12(74.2%) | ||||
B200 192GB VRAM • IO.NET | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Cudo ComputeIO.NET | ↑+$1.56(+175.3%) | |||
H100 PCIe 80GB VRAM • $2.45/hour Updated: 4/18/2026 $0.89/hour Updated: 4/6/2026 ★Best Price Price Difference:↑+$1.56(+175.3%) | ||||
H100 SXM 80GB VRAM • Cudo ComputeIO.NET | ↓$0.06(3.1%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 4/18/2026 ★Best Price $1.85/hour Updated: 4/22/2026 Price Difference:↓$0.06(3.1%) | ||||
H200 141GB VRAM • IO.NET | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeIO.NET | ↑+$0.24(+38.1%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 4/18/2026 $0.63/hour Updated: 4/22/2026 ★Best Price Price Difference:↑+$0.24(+38.1%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Cudo ComputeIO.NET | 2x GPU | ↓$0.58(28.0%) | ||
A100 PCIE 40GB VRAM • $1.50/hour Updated: 4/18/2026 ★Best Price $2.08/hour 2x GPU configuration Updated: 4/18/2026 Price Difference:↓$0.58(28.0%) | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • Cudo ComputeIO.NET | ↓$1.12(74.2%) | |||
A40 48GB VRAM • $0.39/hour Updated: 4/18/2026 ★Best Price $1.51/hour Updated: 4/20/2026 Price Difference:↓$1.12(74.2%) | ||||
B200 192GB VRAM • IO.NET | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • Cudo ComputeIO.NET | ↑+$1.56(+175.3%) | |||
H100 PCIe 80GB VRAM • $2.45/hour Updated: 4/18/2026 $0.89/hour Updated: 4/6/2026 ★Best Price Price Difference:↑+$1.56(+175.3%) | ||||
H100 SXM 80GB VRAM • Cudo ComputeIO.NET | ↓$0.06(3.1%) | |||
H100 SXM 80GB VRAM • $1.79/hour Updated: 4/18/2026 ★Best Price $1.85/hour Updated: 4/22/2026 Price Difference:↓$0.06(3.1%) | ||||
H200 141GB VRAM • IO.NET | Not Available | 8x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Cudo ComputeIO.NET | ↑+$0.24(+38.1%) | |||
L40S 48GB VRAM • $0.87/hour Updated: 4/18/2026 $0.63/hour Updated: 4/22/2026 ★Best Price Price Difference:↑+$0.24(+38.1%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
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
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
Deploy clusters in under 90 seconds with auto-scaling capabilities
Choose from containers, Ray clusters, or bare metal based on workload needs
Uses the same distributed computing framework that OpenAI used to train GPT-3
AI models, smart agents, and API integration for workflow automation
Kernel-level VPN with secure mesh protocols for data protection
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 GPU clusters for AI/ML workloads with multiple deployment options
AI models, smart agents, and API integration platform
Decentralized pool of GPU providers with unified APIs and competitive pricing.
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
Most cost-effective option for distributed ML workloads using Ray framework
Standard containerized deployments with Docker support
Premium pricing for direct hardware access and maximum performance
Dynamic pricing based on actual resource usage with automatic scaling
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.
Create an account on the IO.NET platform with no complex KYC requirements
Purchase $IO tokens for compute payments or add other supported payment methods
Select from containers, Ray clusters, or bare metal based on your workload
Specify GPU requirements, region preferences, and scaling options
Launch your cluster in under 90 seconds and start your AI/ML workloads
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.
Global distributed network across 139 countries with intelligent geographic clustering and latency optimization
Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions