AceCloud vs IO.NET
Compare GPU pricing, features, and specifications between AceCloud and IO.NET cloud providers. Find the best deals for AI training, inference, and ML workloads.
AceCloud
Provider 1
IO.NET
Provider 2
Comparison Overview
GPU Pricing Comparison
| GPU Model ↑ | AceCloud Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
H100 80GB VRAM • IO.NET | Not Available | — | ||
H100 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
H100 80GB VRAM • IO.NET | Not Available | — | ||
H100 80GB VRAM • | ||||
H100 PCIe 80GB VRAM • IO.NET | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
Features Comparison
AceCloud
IO.NET
- Massive Decentralized Network
Access to 300,000+ verified GPUs from 139 countries with 6,000+ cluster-ready GPUs
- Rapid Deployment
Deploy clusters in under 90 seconds with auto-scaling capabilities
- Multiple Deployment Options
Choose from containers, Ray clusters, or bare metal based on workload needs
- Built on Ray.io
Uses the same distributed computing framework that OpenAI used to train GPT-3
- IO Intelligence
AI models, smart agents, and API integration for workflow automation
- Mesh VPN Security
Kernel-level VPN with secure mesh protocols for data protection
Pros & Cons
AceCloud
Advantages
- Wide range of NVIDIA GPUs (L4, A30, RTX A6000, L40S, A100, H100, H200)
- On-demand billing with instance hibernation for cost optimization
- 10+ global data centers in India and USA
- ISO-27001 certified with 99.99% uptime SLA
Considerations
- Limited data center presence outside India and USA
- Newer player in the global cloud market
- Primarily focused on Indian market
IO.NET
Advantages
- Up to 90% cost savings compared to AWS, GCP, and Azure
- Fastest deployment time in the industry (under 90 seconds)
- Massive global network with 300,000+ GPUs available
- No waitlists, approvals, or long-term contracts required
Considerations
- Newer platform compared to established cloud providers
- Decentralized nature may have performance consistency variations
- Primarily crypto-native payment model ($IO tokens)
Compute Services
AceCloud
IO.NET
IO Cloud
On-demand GPU clusters for AI/ML workloads with multiple deployment options
IO Intelligence
AI models, smart agents, and API integration platform
- Custom AI model deployment
- Intelligent agent framework
Marketplace
Decentralized pool of GPU providers with unified APIs and competitive pricing.
Pricing Options
AceCloud
IO.NET
Ray Cluster Pricing
Most cost-effective option for distributed ML workloads using Ray framework
Container Pricing
Standard containerized deployments with Docker support
Bare Metal Pricing
Premium pricing for direct hardware access and maximum performance
Auto-scaling
Dynamic pricing based on actual resource usage with automatic scaling
Getting Started
AceCloud
IO.NET
- 1
Sign up for IO.NET
Create an account on the IO.NET platform with no complex KYC requirements
- 2
Acquire $IO tokens
Purchase $IO tokens for compute payments or add other supported payment methods
- 3
Choose deployment type
Select from containers, Ray clusters, or bare metal based on your workload
- 4
Configure cluster
Specify GPU requirements, region preferences, and scaling options
- 5
Deploy in seconds
Launch your cluster in under 90 seconds and start your AI/ML workloads
Support & Global Availability
AceCloud
IO.NET
Global Regions
Global distributed network across 139 countries with intelligent geographic clustering and latency optimization
Support
Documentation portal, Discord community (500,000+ members), Telegram support, and direct engineering support for GPU and driver questions
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