What is the difference between Google Cloud and Hot Aisle?

Google Cloud and Hot Aisle are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Google Cloud or Hot Aisle?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Google Cloud and Hot Aisle?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 1 different GPU models across both Google Cloud and Hot Aisle, with 0 models available from both providers.

Google Cloud vs Hot Aisle

Compare GPU pricing, features, and specifications between Google Cloud and Hot Aisle cloud providers. Find the best deals for AI training, inference, and ML workloads.

Google Cloud

Provider 1

GPUs Available

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Hot Aisle

Provider 2

GPUs Available

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Comparison Overview

Total GPU Models

Google Cloud GPUs

Hot Aisle GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 1Both available: 0Google Cloud: 0Hot Aisle: 1

Showing 1 of 1 GPUs

Last updated: 12/8/2025, 6:29:25 AM

GPU Model ↑	Google Cloud Price	Hot Aisle Price	Price Diff ↕	Sources
MI300X 192GB VRAM • Hot Aisle	Not Available	$3.00/hr★ Best	—	Shadeform API
MI300X 192GB VRAM • Not Available Hot Aisle $3.00/hour Updated: 12/8/2025 ★Best Price Shadeform API

MI300X 192GB VRAM • Hot Aisle	Not Available	$3.00/hr★ Best	—	Shadeform API
MI300X 192GB VRAM • Not Available Hot Aisle $3.00/hour Updated: 12/8/2025 ★Best Price Shadeform API

Features Comparison

Google Cloud

Compute Engine
Scalable virtual machines with a wide range of machine types, including GPUs.
Google Kubernetes Engine (GKE)
Managed Kubernetes service for deploying and managing containerized applications.
Cloud Functions
Event-driven serverless compute platform.
Cloud Run
Fully managed serverless platform for containerized applications.
Vertex AI
Unified ML platform for building, deploying, and managing ML models.
Preemptible VMs
Short-lived compute instances at a significant discount, suitable for fault-tolerant workloads.

Hot Aisle

AMD MI300X Fleet
Dell PowerEdge XE9680 servers with 8x 192GB AMD Instinct MI300X GPUs and Intel Xeon CPUs.
Minute-Level Pricing
Published $1.99/GPU/hr MI300X rate with no contracts and billing by the minute.
High-Speed Fabric
8x400G RoCEv2 per chassis plus 100G internet and unlimited bandwidth.
Ready-to-Use Images
Ubuntu options with ROCm, Docker, and optional K8s/Slurm/Ray installs via cloud-init.
Operations & API
SSH, BMC, iDRAC access and an API for lifecycle automation; dstack integration highlighted.
Tier 5 Facility
Switch Pyramid data center in Grand Rapids, Michigan with renewable energy and layered security.

Pros & Cons

Google Cloud

Advantages

Flexible pricing options, including sustained use discounts
Strong AI and machine learning tools (Vertex AI)
Good integration with other Google services
Cutting-edge Kubernetes implementation (GKE)

Considerations

Limited availability in some regions compared to AWS
Complexity in managing resources
Support can be costly

Hot Aisle

Advantages

On-demand MI300X VMs and bare metal with transparent minute-based pricing
Dense XE9680 nodes with 8x400G RoCEv2 for multi-server scaling
100G internet with unlimited bandwidth plus included IPv4/IPv6 addresses
Hands-on support with ROCm-ready images, API access, and optional cluster tooling installs

Considerations

Single public region (Grand Rapids, MI) limits locality options
AMD-only GPU lineup today; MI355x is reservation-only for now
Documentation lives in site pages and API docs, so some workflows may require coordinator support

Compute Services

Google Cloud

Compute Engine

Offers customizable virtual machines running in Google's data centers.

Google Kubernetes Engine (GKE)

Managed Kubernetes service for running containerized applications.

Automated Kubernetes operations
Integration with Google Cloud services

Cloud Functions

Serverless compute platform for running code in response to events.

Automatic scaling and high availability
Pay only for the compute time consumed

Hot Aisle

MI300X Virtual Machines

On-demand MI300X VMs billed by the minute with inclusive bandwidth.

MI300X Bare Metal

Dell PowerEdge XE9680 access with full control for custom deployments.

Pricing Options

Google Cloud

On-Demand

Pay for compute capacity per hour or per second, with no long-term commitments.

Sustained Use Discounts

Automatic discounts for running instances for a significant portion of the month.

Committed Use Discounts

Save up to 57% with a 1-year or 3-year commitment to a minimum level of resource usage.

Preemptible VMs

Save up to 80% for fault-tolerant workloads that can be interrupted.

Hot Aisle

Minute-billed MI300X

Published $1.99 per GPU-hour MI300X rate with on-demand, no-contract access billed by the minute.

VM sizes from 1-8 GPUs

Small (1x), Medium (2x/4x), and Large (8x) MI300X VMs with inclusive 100G internet and public IPv4/IPv6.

Bare metal XE9680

8x MI300X bare metal nodes with 8x400G RoCEv2; custom designs and MI355x reservations available via sales.

Getting Started

Google Cloud

Get Started

1
Create a Google Cloud project
Set up a project in the Google Cloud Console.
2
Enable billing
Set up a billing account to pay for resource usage.
3
Choose a compute service
Select Compute Engine, GKE, Cloud Functions, or Cloud Run based on your needs.
4
Create and configure an instance
Launch a VM instance, configure a Kubernetes cluster, or deploy a function/application.
5
Manage resources
Use the Cloud Console, command-line tools, or APIs to manage your resources.

Hot Aisle

Get Started

1
Connect to the admin portal
SSH to admin.hotaisle.app and create your account from the TUI.
2
Add billing credits
Load credits via credit card to unlock on-demand VM launches.
3
Pick a VM size
Choose 1, 2, 4, or 8 MI300X VMs or the 8x MI300X bare metal option.
4
Launch and configure
Select Ubuntu and start the instance; ROCm and Docker come preinstalled with cloud-init support.
5
Automate with the API
Use the documented API or dstack integration for lifecycle management and monitoring.

Support & Global Availability

Google Cloud

Global Regions

40+ regions and 120+ zones worldwide.

Support

Role-based (free), Standard, Enhanced and Premium support plans. Comprehensive documentation, community forums, and training resources.

Hot Aisle

Global Regions

Switch Pyramid data center in Grand Rapids, Michigan (Tier 5 facility, renewable energy, high physical security).

Support

hello@hotaisle.ai with real-time Slack/Discord access, white-glove onboarding, API docs, and Dell ProSupport-backed hardware.