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Compare GPU and LLM inference API pricing between DigitalOcean and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.64/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
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 • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • IO.NET | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanIO.NET | 8x GPU | ↑+$1.14(+61.8%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 5/1/2026 $1.85/hour Updated: 4/22/2026 ★Best Price Price Difference:↑+$1.14(+61.8%) | ||||
H200 141GB VRAM • DigitalOceanIO.NET | 8x GPU | ↑+$0.51(+17.2%) | ||
H200 141GB VRAM • $3.44/hour Updated: 5/1/2026 $2.93/hour 8x GPU configuration Updated: 4/18/2026 ★Best Price Price Difference:↑+$0.51(+17.2%) | ||||
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 • DigitalOceanIO.NET | ↑+$0.94(+149.2%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 5/1/2026 $0.63/hour Updated: 4/22/2026 ★Best Price Price Difference:↑+$0.94(+149.2%) | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOceanIO.NET | ↓$0.03(3.8%) | |||
RTX 4000 Ada 20GB VRAM • $0.76/hour Updated: 5/1/2026 ★Best Price $0.79/hour Updated: 4/21/2026 Price Difference:↓$0.03(3.8%) | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | 2x GPU | — | |
A100 PCIE 40GB VRAM • | ||||
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 • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 192GB VRAM • IO.NET | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanIO.NET | 8x GPU | ↑+$1.14(+61.8%) | ||
H100 SXM 80GB VRAM • $2.99/hour 8x GPU configuration Updated: 5/1/2026 $1.85/hour Updated: 4/22/2026 ★Best Price Price Difference:↑+$1.14(+61.8%) | ||||
H200 141GB VRAM • DigitalOceanIO.NET | 8x GPU | ↑+$0.51(+17.2%) | ||
H200 141GB VRAM • $3.44/hour Updated: 5/1/2026 $2.93/hour 8x GPU configuration Updated: 4/18/2026 ★Best Price Price Difference:↑+$0.51(+17.2%) | ||||
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 • DigitalOceanIO.NET | ↑+$0.94(+149.2%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 5/1/2026 $0.63/hour Updated: 4/22/2026 ★Best Price Price Difference:↑+$0.94(+149.2%) | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOceanIO.NET | ↓$0.03(3.8%) | |||
RTX 4000 Ada 20GB VRAM • $0.76/hour Updated: 5/1/2026 ★Best Price $0.79/hour Updated: 4/21/2026 Price Difference:↓$0.03(3.8%) | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.
Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.
GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.
Transparent per-hour pricing with no hidden fees or complex instance families.
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 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.
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 at digitalocean.com and verify your account.
Select GPU Droplets from the Create menu, choose your GPU type and configuration.
Select a pre-configured AI/ML image or a base OS image.
Launch your GPU Droplet and connect via SSH to start working.
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
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
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