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Compare GPU and LLM inference API pricing between IO.NET and Latitude.sh. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.40/hour between comparable GPUs
| GPU Model ↑ | IO.NET Price | Latitude.sh Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | 4x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Latitude.sh | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NETLatitude.sh | ↑+$0.94(+56.9%) | |||
H100 SXM 80GB VRAM • $2.60/hour Updated: 7/16/2026 $1.66/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.94(+56.9%) | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NETLatitude.sh | 2x GPU | ↑+$0.10(+13.5%) | ||
L40S 48GB VRAM • $0.84/hour 2x GPU configuration Updated: 7/16/2026 $0.74/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.10(+13.5%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | 8x GPU | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | 4x GPU | Not Available | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Latitude.sh | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NETLatitude.sh | ↑+$0.94(+56.9%) | |||
H100 SXM 80GB VRAM • $2.60/hour Updated: 7/16/2026 $1.66/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.94(+56.9%) | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • IO.NET | 8x GPU | Not Available | — | |
HGX B300 288GB VRAM • | ||||
L4 24GB VRAM • IO.NET | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • IO.NET | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • IO.NETLatitude.sh | 2x GPU | ↑+$0.10(+13.5%) | ||
L40S 48GB VRAM • $0.84/hour 2x GPU configuration Updated: 7/16/2026 $0.74/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.10(+13.5%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | 8x GPU | Not Available | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
Compare IO.NET with another leading provider
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
Provision servers with user data, RAID, and SSH over a documented REST API.
RTX 6000 Ada, H100, and L40S capacity with dual 100 Gbps networking on multi-GPU nodes.
25 locations spanning the US, Europe, Latin America, and Asia-Pacific.
Hourly and monthly rates published for GPU and CPU bare metal.
Beyond compute: managed databases, storage, networking, and Kubernetes services.
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.
Dedicated GPU servers tuned for AI training and inference.
Virtualized GPU plans for quick starts and cost-effective deployment.
General-purpose dedicated servers with high core counts and NVMe.
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
Hourly billing for dedicated GPU servers including RTX 6000 Ada configurations with transparent published pricing.
Cost-effective virtualized GPU options with H100 and L40S available in select regions.
Hourly and monthly billing options for CPU-focused bare metal servers with regional pricing variations.
Published hourly rates for all GPU and CPU plans with pricing that varies by region (US, Brazil, Europe, APAC).
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 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
25 locations across Dallas, Los Angeles, New York, Chicago, Ashburn, Miami, London (2), Frankfurt (2), Amsterdam, Sao Paulo (2), Mexico City, Buenos Aires, Bogota, Santiago, Singapore, Tokyo (2), and Sydney (2).
API reference, contact sales, and a trust center; platform tooling exposes SSH, RAID, and user-data options on provision.