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Compare GPU and LLM inference API pricing between Beam and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.26/hour between comparable GPUs
| GPU Model ↑ | Beam Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Beam | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • BeamIO.NET | ↓$0.01(1.0%) | |||
A100 SXM 80GB VRAM • $1.30/hour Updated: 7/16/2026 ★Best Price $1.31/hour Updated: 7/16/2026 Price Difference:↓$0.01(1.0%) | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • BeamIO.NET | ↑+$0.30(+7.9%) | |||
H200 141GB VRAM • $4.09/hour Updated: 7/10/2026 $3.79/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.30(+7.9%) | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | 8x GPU | — | |
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 • BeamIO.NET | 2x GPU | ↓$0.12(14.3%) | ||
L40S 48GB VRAM • $0.72/hour Updated: 7/16/2026 ★Best Price $0.84/hour 2x GPU configuration Updated: 7/16/2026 Price Difference:↓$0.12(14.3%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • BeamIO.NET | 8x GPU | ↓$0.09(18.4%) | ||
RTX 4090 24GB VRAM • $0.42/hour Updated: 7/16/2026 ★Best Price $0.51/hour 8x GPU configuration Updated: 7/16/2026 Price Difference:↓$0.09(18.4%) | ||||
RTX 5090 32GB VRAM • BeamIO.NET | ↓$0.00(0.4%) | |||
RTX 5090 32GB VRAM • $0.68/hour Updated: 7/16/2026 ★Best Price $0.68/hour Updated: 7/14/2026 Price Difference:↓$0.00(0.4%) | ||||
A10 24GB VRAM • Beam | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • BeamIO.NET | ↓$0.01(1.0%) | |||
A100 SXM 80GB VRAM • $1.30/hour Updated: 7/16/2026 ★Best Price $1.31/hour Updated: 7/16/2026 Price Difference:↓$0.01(1.0%) | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 PCIe 80GB VRAM • Beam | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • BeamIO.NET | ↑+$0.30(+7.9%) | |||
H200 141GB VRAM • $4.09/hour Updated: 7/10/2026 $3.79/hour Updated: 7/16/2026 ★Best Price Price Difference:↑+$0.30(+7.9%) | ||||
HGX B300 288GB VRAM • IO.NET | Not Available | 8x GPU | — | |
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 • BeamIO.NET | 2x GPU | ↓$0.12(14.3%) | ||
L40S 48GB VRAM • $0.72/hour Updated: 7/16/2026 ★Best Price $0.84/hour 2x GPU configuration Updated: 7/16/2026 Price Difference:↓$0.12(14.3%) | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • BeamIO.NET | 8x GPU | ↓$0.09(18.4%) | ||
RTX 4090 24GB VRAM • $0.42/hour Updated: 7/16/2026 ★Best Price $0.51/hour 8x GPU configuration Updated: 7/16/2026 Price Difference:↓$0.09(18.4%) | ||||
RTX 5090 32GB VRAM • BeamIO.NET | ↓$0.00(0.4%) | |||
RTX 5090 32GB VRAM • $0.68/hour Updated: 7/16/2026 ★Best Price $0.68/hour Updated: 7/14/2026 Price Difference:↓$0.00(0.4%) | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Compare Beam with another leading provider
Only charged when your code runs, no charges for cold starts or server spin-up
Ultrafast boot times with advanced container optimization
Run untrusted code safely in isolated environments for AI agents and code interpreters
Pause and resume sessions while maintaining filesystem, memory, and running processes
Scale to zero when idle, burst to thousands of containers in seconds
Bring your own Docker images for full environment control
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
Deploy high-performance inference endpoints with custom models
Secure code execution environments for AI agents
Run large-scale workloads with distributed processing
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.
Only pay for actual compute time with no minimum charges
Developer plan free with usage, Team plan starts at monthly base fee plus usage
All plans include monthly free credits for getting started
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 on the Beam platform
Create a virtual environment and install the Beam SDK
Configure your API token to connect to Beam
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