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Compare GPU and LLM inference API pricing between IO.NET and Verda. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | IO.NET Price | Verda Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Verda | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Verda | Not Available | 2x GPU | — | |
B200 192GB VRAM • | ||||
GB300 576GB VRAM • Verda | Not Available | — | ||
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Verda | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Verda | Not Available | 2x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Verda | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Verda | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Verda | Not Available | 2x GPU | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Verda | Not Available | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
Tesla V100 32GB VRAM • Verda | Not Available | — | ||
Tesla V100 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Verda | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Verda | Not Available | 2x GPU | — | |
A100 SXM 80GB VRAM • | ||||
B200 192GB VRAM • Verda | Not Available | 2x GPU | — | |
B200 192GB VRAM • | ||||
GB300 576GB VRAM • Verda | Not Available | — | ||
GB300 576GB VRAM • | ||||
H100 SXM 80GB VRAM • Verda | Not Available | 2x GPU | — | |
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Verda | Not Available | 2x GPU | — | |
H200 141GB VRAM • | ||||
HGX B300 288GB VRAM • Verda | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40S 48GB VRAM • Verda | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • Verda | Not Available | 2x GPU | — | |
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Verda | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Verda | Not Available | 2x GPU | — | |
RTX PRO 6000 96GB VRAM • | ||||
Tesla V100 32GB VRAM • Verda | Not Available | — | ||
Tesla V100 32GB 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
Complete platform for AI development from experimentation to production deployment
InfiniBand and NVLink for efficient multi-GPU communication and clustering
ISO 27001/27017/27018/27701 certified with GDPR compliance and EU sovereignty
100% renewable energy-powered Nordic data centers
Web console, API, SDK, Terraform provider, and comprehensive documentation
Proactive support from ML infrastructure experts with 99.9%+ uptime
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.
On-demand virtual machines with 1x-8x NVIDIA GPUs and NVLink interconnects
Self-service access to 16x-128x GPU clusters with InfiniBand
Custom-built GPU clusters tailored to specifications
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
Transparent hourly pricing with no upfront commitments
Access spare capacity at significant discounts for flexible workloads
Volume discounts up to 25% with 1-2 year commitments
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
Create account at console.verda.com with email or GitHub
Add credit card for pay-as-you-go billing
Select GPU model and configuration, deploy in minutes
SSH access, JupyterLab, or API integration for your 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
European data centers with focus on Nordic locations for optimal sustainability
Expert AI/ML infrastructure support team, comprehensive documentation, 99.9%+ uptime SLA