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Compare GPU and LLM inference API pricing between IO.NET and Vast.ai. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | IO.NET Price | Vast.ai Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Vast.ai | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Vast.ai | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Vast.ai | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
A40 48GB VRAM • | ||||
L4 24GB VRAM • Vast.ai | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Vast.ai | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Vast.ai | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Vast.ai | Not Available | 4x GPU | — | |
RTX 3070 8GB VRAM • | ||||
RTX 3070 Ti 8GB VRAM • Vast.ai | Not Available | — | ||
RTX 3070 Ti 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Vast.ai | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • Vast.ai | Not Available | 4x GPU | — | |
RTX 3080 Ti 12GB VRAM • | ||||
RTX 3090 24GB VRAM • Vast.ai | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • Vast.ai | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Vast.ai | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4060 8GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
RTX 4060 8GB VRAM • | ||||
A10 24GB VRAM • Vast.ai | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Vast.ai | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Vast.ai | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A40 48GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
A40 48GB VRAM • | ||||
L4 24GB VRAM • Vast.ai | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Vast.ai | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • Vast.ai | Not Available | — | ||
L40S 48GB VRAM • | ||||
RTX 3070 8GB VRAM • Vast.ai | Not Available | 4x GPU | — | |
RTX 3070 8GB VRAM • | ||||
RTX 3070 Ti 8GB VRAM • Vast.ai | Not Available | — | ||
RTX 3070 Ti 8GB VRAM • | ||||
RTX 3080 10GB VRAM • Vast.ai | Not Available | — | ||
RTX 3080 10GB VRAM • | ||||
RTX 3080 Ti 12GB VRAM • Vast.ai | Not Available | 4x GPU | — | |
RTX 3080 Ti 12GB VRAM • | ||||
RTX 3090 24GB VRAM • Vast.ai | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 3090 Ti 24GB VRAM • Vast.ai | Not Available | — | ||
RTX 3090 Ti 24GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • Vast.ai | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4060 8GB VRAM • Vast.ai | Not Available | 2x GPU | — | |
RTX 4060 8GB 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
Prices set by supply and demand across the platform with no list prices or hidden fees
GPU Cloud for full control, Serverless for zero-ops inference, Clusters for large-scale training
CLI, Python SDK, and REST API for programmatic GPU provisioning
Scale from $5 to 20,000 GPUs across 40+ data centers without contracts or minimums
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 instances across 40+ data centers and 20,000+ GPUs
Deploy models as endpoints with autoscaling to zero
Dedicated multi-node GPU clusters with InfiniBand networking
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
Guaranteed uptime with per-second billing. Best for production workloads.
50%+ cheaper preemptible instances. Best for fault-tolerant batch training.
Up to 50% off with 1, 3, or 6 month commitments. Guaranteed capacity with volume discounts.
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
Start with as little as $5. No contracts, no minimums.
Filter by model, VRAM, price, and availability across the platform
Launch instances in seconds. Scale up or down anytime.
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
40+ data centers with global coverage including community and enterprise providers
24/7 expert support, comprehensive documentation, Discord community, CLI and SDK tools