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Compare GPU and LLM inference API pricing between Hot Aisle and IO.NET. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Hot Aisle Price | IO.NET Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
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 • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Hot Aisle | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
A100 PCIE 40GB VRAM • IO.NET | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • IO.NET | Not Available | 4x GPU | — | |
A30 24GB VRAM • | ||||
A40 48GB VRAM • IO.NET | Not Available | — | ||
A40 48GB VRAM • | ||||
H100 SXM 80GB VRAM • IO.NET | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • IO.NET | Not Available | — | ||
H200 141GB VRAM • | ||||
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 • IO.NET | Not Available | 2x GPU | — | |
L40S 48GB VRAM • | ||||
MI300X 192GB VRAM • Hot Aisle | Not Available | — | ||
MI300X 192GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • IO.NET | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • IO.NET | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • IO.NET | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • IO.NET | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Hot Aisle with another leading provider
Compare Hot Aisle with another leading provider
Compare Hot Aisle with another leading provider
Compare Hot Aisle with another leading provider
Compare Hot Aisle with another leading provider
Compare Hot Aisle with another leading provider
Dell PowerEdge XE9680 servers with 8x 192GB AMD Instinct MI300X GPUs and Intel Xeon CPUs.
Transparent published MI300X pricing with no contracts and billing by the minute.
8x400G RoCEv2 per chassis plus 100G internet and unlimited bandwidth.
Ubuntu options with ROCm, Docker, and optional K8s/Slurm/Ray installs via cloud-init.
SSH, BMC, iDRAC access and an API for lifecycle automation; dstack integration highlighted.
Switch Pyramid data center in Grand Rapids, Michigan with renewable energy and layered security.
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 MI300X VMs billed by the minute with inclusive bandwidth.
Dell PowerEdge XE9680 access with full control for custom deployments.
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.
Transparent published per-GPU hourly MI300X rate with on-demand, no-contract access billed by the minute.
Small (1x), Medium (2x/4x), and Large (8x) MI300X VMs with inclusive 100G internet and public IPv4/IPv6.
8x MI300X bare metal nodes with 8x400G RoCEv2; custom designs and MI355x reservations available via sales.
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
SSH to admin.hotaisle.app and create your account from the TUI.
Load credits via credit card to unlock on-demand VM launches.
Choose 1, 2, 4, or 8 MI300X VMs or the 8x MI300X bare metal option.
Select Ubuntu and start the instance; ROCm and Docker come preinstalled with cloud-init support.
Use the documented API or dstack integration for lifecycle management and monitoring.
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
Switch Pyramid data center in Grand Rapids, Michigan (Tier 5 facility, renewable energy, high physical security).
hello@hotaisle.ai with real-time Slack/Discord access, white-glove onboarding, API docs, and Dell ProSupport-backed hardware.
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