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GPU Per Hour VS DevOps Buddy

Compare GPU Per Hour VS DevOps Buddy and see what are their differences

GPU Per Hour

Real-time cloud GPU price comparison: Find the cheapest H100, A100, RTX 4090 & more across 30+ providers. Deploy instantly and save big on hourly rentals.

Rating
5.0 · 1 review
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Alternatives Is it good?
DevOps Buddy

Deploy Git repos, docker-compose or WordPress to servers you own on AWS, Google Cloud, DigitalOcean or Vultr. HTTPS, DNS and backups handled. Free, no credit card.

Rating
0 reviews
Pricing
Freemium Free trial $12 / Monthly
Promote on VibeVoted
Alternatives Is it good?
CloudGPU.app
GPU rental by the minute plus an OpenAI-compatible AI API, on one prepaid balance. Independent service. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Cloud Computing popularity
78% vs 22%
alternatives listed
11 vs 6

Base details

Website, pricing, platforms and company facts side by side.

GPU Per Hour
DevOps Buddy
Website gpuperhour.com devopsbuddy.io
Pricing —
Freemium Free trial $12 / Monthly Official pricing
Company Startup from the United States · 1 - 9 employees · 2026 Startup from Brazil · 1 - 9 employees
Listed in
GPU Servers Price Aggregator Marketplace AI Tools Dedicated Servers Game Servers Application Server AI +5
Continuous Deployment PaaS DevOps Tools Web Hosting WordPress Hosting Cloud Computing Server Management +4

About GPU Per Hour and DevOps Buddy

In their own words, as submitted to SaaSHub.

GPU Per Hour
DevOps Buddy

GPU Per Hour tracks real-time pricing across 30+ GPU cloud providers so you don't overpay for compute. The same GPU can cost 63x more depending on where you rent it. A Tesla V100 ranges from $0.05/hr to $3.06/hr. An H100 ranges from $0.80/hr to $5.95/hr. We surface these differences so you...

Read more about GPU Per Hour

DevOps Buddy is a control plane for servers you own. You connect your own cloud account — AWS, Google Cloud, DigitalOcean or Vultr — and it provisions the VM there, or you install a small agent on a Linux machine you already run. The infrastructure is billed to you by your provider at their...

Read more about DevOps Buddy

Features and specs

What each product offers, as listed by its team.

GPU Per Hour 5 features
DevOps Buddy 0 features
  • Cost-Effective GPU Access
    Provides on-demand GPU rental at potentially lower costs compared to purchasing and maintaining physical hardware, making it attractive for users with intermittent or short-term computing needs.
  • Flexible Pay-As-You-Go Model
    Users can pay only for the hours they actually use the GPU resources, avoiding large upfront capital investments in expensive hardware.
  • Scalability
    Allows users to scale their computing resources up or down based on project demands, which is useful for machine learning, rendering, or other GPU-intensive tasks that have variable workloads.
  • No Maintenance Overhead
    Eliminates the need for users to handle hardware maintenance, cooling, power management, and upgrades since the infrastructure is managed by the service provider.
  • Accessibility for Small Teams and Individuals
    Makes high-performance GPU computing accessible to individual developers, researchers, and small businesses who may not have the budget for enterprise-level hardware.

Possible disadvantages

  • Dependency on Internet Connectivity
    Since the service is cloud-based, users require a stable and fast internet connection to effectively utilize the GPU resources, which can be a limitation in areas with poor connectivity.
  • Potential Data Security Concerns
    Running workloads on third-party infrastructure may raise concerns about data privacy and security, especially for sensitive or proprietary datasets.
  • Variable Pricing Over Long-Term Use
    While cost-effective for short-term needs, hourly rental pricing can become more expensive than owning hardware outright for users with continuous, long-term GPU usage requirements.
  • Limited Customization
    Users may have less control over the underlying hardware configuration and software environment compared to running their own dedicated infrastructure.
  • Service Availability and Reliability Risks
    Users are dependent on the platform's uptime and resource availability, which means service outages or GPU shortages could disrupt critical workloads at inopportune times.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

GPU Per Hour
DevOps Buddy

Overall verdict

  • GPU Per Hour appears to be a GPU rental marketplace/service offering on-demand access to computing power, which can be a good option for users needing flexible, pay-as-you-go GPU resources without long-term commitments, though thorough due diligence on pricing, reliability, and support is recommended before committing significant workloads.

Why this product is good

  • Offers flexible pay-per-hour pricing model, avoiding large upfront hardware investments
  • Provides access to GPU resources for compute-intensive tasks like AI/ML training and rendering
  • Eliminates need for maintaining physical hardware infrastructure
  • Potentially cost-effective for short-term or variable workload needs
  • Scalability to adjust resources based on project demands

Recommended for

  • Startups and small businesses testing AI/ML models without large capital expenditure
  • Researchers needing temporary access to high-performance GPUs
  • Developers working on short-term projects requiring GPU acceleration
  • Freelancers or students who need occasional access to powerful computing resources
  • Businesses with fluctuating computational needs that don't justify owning dedicated hardware

No analysis of DevOps Buddy yet.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
GPU Per Hour
DevOps Buddy
78% 78%
Cloud Computing
22% 22%
0% 0%
Server Management
100% 100%
100% 100%
GPU Servers
0% 0%
100% 100%
AI
0% 0%

Questions & Answers

As answered by people managing GPU Per Hour and DevOps Buddy.

Which are the primary technologies used for building your product?

DevOps Buddy's answer:

Python and Go, all hosted in GCP.

What's the story behind your product?

DevOps Buddy's answer:

It's built by one team at Idev Solucoes in Brazil.

The design follows from one decision: the platform should not be in the path of your traffic. Applications run on your machines behind their own reverse proxy, so when the control plane is unreachable, sites keep serving and only changes have to wait. That is also why the agent polls out instead of us connecting in.

The classic-server mode came from the same place — plenty of real work is a PHP site that wants nginx and a database on the box, not a container platform.

What makes your product unique?

DevOps Buddy's answer:

It manages servers it doesn't own. You connect your own AWS, Google Cloud, DigitalOcean or Vultr account and the VM is created there, billed to you by your provider at their price — we take no cut of infrastructure.

The agent on your machine only makes outbound HTTPS connections. Nothing listens on your server, no SSH key of ours is installed, and no management port has to be opened. Most panels in this category connect inward over SSH.

And it runs two kinds of server from one panel: container servers where every app runs in Docker behind Traefik, and classic servers that are clean Ubuntu boxes with nginx, PHP-FPM and MariaDB, MySQL or PostgreSQL — no Docker involved, and you keep full root.

Why should a person choose your product over its competitors?

DevOps Buddy's answer:

Against managed hosts like Cloudways: the cloud account stays yours. You are not renting a server from us at a marked-up price, and if you stop paying us the machines and the sites carry on exactly as they are.

Against panels that manage a server you already have: we can also create the server, in your account, in a couple of minutes; we cover both Docker and traditional PHP hosting rather than one or the other; and the agent never accepts an inbound connection.

Where we are behind: those products have years of production use, more one-click applications, teams and role-based access, and staffed support. We started an open beta in August 2026. If you need the mature, boring choice today, they are the safer bet.

How would you describe the primary audience of your product?

DevOps Buddy's answer:

Two groups, with the same complaint from opposite directions.

Agencies and freelancers running client sites — usually WordPress and PHP — who are paying reseller prices for hosting they could run themselves, and who want per-site isolation, backups and HTTPS without configuring nginx by hand.

Developers running small products on Git deploys — Python, Node, Go — who find hosted platforms fine until the bill arrives, and who would rather pay a cloud provider directly for a VM.

Both want managed convenience without handing over the infrastructure.

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

GPU Per Hour 5.0 · 1 review
DevOps Buddy no reviews yet

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Alternatives to GPU Per Hour and DevOps Buddy

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