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Compare GPU and LLM inference API pricing between Hyperbolic and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Hyperbolic Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 192GB VRAM • Hyperbolic | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperbolic | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Hyperbolic | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX 3070 8GB VRAM • Hyperbolic | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 4090 24GB VRAM • Hyperbolic | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
B200 192GB VRAM • Hyperbolic | Not Available | — | ||
B200 192GB VRAM • | ||||
H100 SXM 80GB VRAM • Hyperbolic | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Hyperbolic | Not Available | — | ||
H200 141GB VRAM • | ||||
RTX 3070 8GB VRAM • Hyperbolic | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 4090 24GB VRAM • Hyperbolic | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Hyperbolic with another leading provider
Compare Hyperbolic with another leading provider
Compare Hyperbolic with another leading provider
Compare Hyperbolic with another leading provider
Compare Hyperbolic with another leading provider
Compare Hyperbolic with another leading provider
Scale up or down capacity as needed with multi-tenant GPU clusters that deploy in under a minute
Access latest state-of-the-art AI models in one click with OpenAI-compatible API
Secure guaranteed capacity for long-term workloads at discounted prices
Host high-throughput inference with unlimited requests and hourly pricing
Skip setup and launch GPU workloads instantly with ready-to-use images for PyTorch, TensorFlow, and CUDA
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.
Multi-tenant GPU clusters with instant deployment and pay-as-you-go pricing
Guaranteed capacity for long-term workloads with discounted prepaid pricing
Pay-per-use inference API with no infrastructure management required
Single-tenant GPUs with private endpoints and hourly 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 app.hyperbolic.ai with no forms or sales calls required
Pay with credit card, wire/ACH upfront, or cryptocurrency
Choose GPU type and count, deploy in under 60 seconds with SSH access
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
Documentation available, self-service console, and AI consulting services for scaling teams
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