Software Alternatives & Startups

GPU Per Hour VS Shadowmap

Compare GPU Per Hour VS Shadowmap 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.

Shadowmap

Interactive 3D maps app to visualize solar shadows worldwide

Rating
0 reviews
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?

Based on our record, Shadowmap should be more popular than GPU Per Hour. It has been mentioned 5 times since March 2021.

social mentions
1 vs 5
Cloud Computing popularity
100% vs 0%
alternatives listed
15 vs 25

Base details

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

GPU Per Hour
Shadowmap
Website gpuperhour.com app.shadowmap.org
Company Startup from the United States · 1 - 9 employees · 2026 —
Listed in

About GPU Per Hour and Shadowmap

In their own words, as submitted to SaaSHub.

GPU Per Hour
Shadowmap

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

No description of Shadowmap yet.

Features and specs

What each product offers, as listed by its team.

GPU Per Hour 5 features
Shadowmap 4 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.
  • Accurate Solar Mapping
    Shadowmap provides precise solar positioning and shadow casting, allowing users to accurately determine sunlight exposure on specific geographic locations.
  • User-Friendly Interface
    The platform offers an intuitive and easy-to-navigate interface, making it accessible for users with varying levels of technical expertise.
  • Versatile Applications
    Shadowmap supports a variety of use cases, including real estate analysis, urban planning, and outdoor event planning, enhancing its utility across different sectors.
  • Time-Based Simulation
    Users can simulate shadows at different times of the day and year, helping in planning and decision-making processes concerning solar exposure.

Possible disadvantages

  • Limited Accessibility
    Shadowmap may not be accessible to all users due to potential geographic restrictions or platform limitations.
  • Data Dependence
    The accuracy of the service depends on the availability and quality of underlying geographic and solar data, which can vary by location.
  • Subscription Costs
    Advanced features of Shadowmap may require a subscription fee, which might not be feasible for all users or small business operations.
  • Learning Curve
    Despite its user-friendly design, some users might still experience a learning curve to fully utilize all its features effectively.

Analysis

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

GPU Per Hour
Shadowmap

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 Shadowmap 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
Shadowmap
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

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
Shadowmap no reviews yet

We have no reviews of Shadowmap yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GPU Per Hour 1 mention
Shadowmap 5 mentions
  • H200 vs H100 for LLM inference: which GPU to buy, and where the B200 fits
    Public on-demand prices, per GPU-hour, from live price aggregators: H100 SXM around $2.00 to $3.50 median across providers, cheapest listings near $1.33 to $1.99; H200 SXM around $3.00 to $5.34 median, cheapest near $2.63 to $2.99; B200... - Source: dev.to / 1 day ago
  • Shade Map
    Https://app.shadowmap.org Has has existed for many years. - Source: Hacker News / 3 months ago
  • Map of All the Buildings in the World
    In that case https://app.shadowmap.org could be a better recommendation. - Source: Hacker News / 11 months ago
  • Map I created to show sun exposure for any mountain - shademap.app
    Great job OP! I love how snappy your app is. And it's great that there are now more and more tools being developed in this scope. I started out some years ago with app.shadowmap.org – out of being depressed in Viennese/Austrian winters... Source: almost 5 years ago

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Alternatives to GPU Per Hour and Shadowmap

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