Software Alternatives & Startups

CDN77 VS dstack

Compare CDN77 VS dstack and see what are their differences

CDN77

Content Delivery Network - website speed acceleration with CDN77. 28+ PoPs, Pay-as-you-go prices, no commitments.

Rating
0 reviews
dstack

Cost-effective LLM development in the cloud

Rating
0 reviews
Pricing
Open source
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, dstack seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
CDN popularity
100% vs 0%
alternatives listed
177 vs 14

Base details

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

CDN77
dstack
Website cdn77.com dstack.ai
Pricing
Open source
Listed in

Features and specs

What each product offers, as listed by its team.

CDN77 7 features
dstack 0 features
  • Global Network Coverage
    CDN77 offers an extensive global network with over 35 points of presence (PoPs) strategically located around the world, ensuring low latency and high-speed content delivery regardless of user location.
  • Real-Time Analytics
    Provides detailed real-time analytics that help you monitor traffic, performance, and error rates, allowing for quick adjustments and optimizations.
  • DDoS Protection
    Includes DDoS protection mechanisms to safeguard your data and website from malicious attacks, ensuring higher uptime and reliability.
  • Flexible Pricing Plans
    Offers flexible pricing options, including pay-as-you-go and custom plans, which can be tailored to fit various budgetary requirements and usage levels.
  • Support for Various Protocols
    Supports a wide range of protocols such as HTTPS, HTTP/2, and IPv6, which can help improve performance and security.
  • Video Streaming Optimization
    Specifically optimized for video streaming, featuring HTTP Live Streaming (HLS) support and real-time content transcoding options.
  • 24/7 Customer Support
    Provides round-the-clock support through multiple channels including chat, email, and phone, ensuring any issues are promptly addressed.

Possible disadvantages

  • Complex Setup for Beginners
    The initial setup and configuration can be somewhat complex for users who are not well-versed in networking or CDN technology.
  • Pricing Transparency
    While the pricing is flexible, some users have found it to be somewhat opaque and potentially confusing, especially for larger-scale operations.
  • Limited Free Trial
    The free trial period is relatively short, making it difficult for enterprises to fully evaluate the service before committing.
  • Advanced Features May Require Additional Costs
    Advanced features like real-time analytics and enhanced DDoS protection sometimes come at an additional cost, which might not be clear upfront.
  • Regional Performance Variance
    Although CDN77 has a robust global network, performance can vary depending on the region, with some locations experiencing slower speeds than others.

No features have been listed yet.

Analysis

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

CDN77
dstack

No analysis of CDN77 yet.

Overall verdict

  • dstack is a solid open-source orchestration tool for AI and ML workloads that simplifies running training, fine-tuning, and inference across multiple cloud providers and on-premises hardware, offering a cost-effective and flexible alternative to heavier platforms like Kubernetes.

Why this product is good

  • Open-source and vendor-neutral, letting you avoid lock-in while working across AWS, GCP, Azure, Lambda, and on-prem GPU clusters
  • Simplifies GPU provisioning and orchestration for ML workloads without the complexity of managing Kubernetes
  • Cost optimization features like automatic use of spot instances and easy teardown of idle resources
  • Developer-friendly configuration through simple YAML files and a straightforward CLI
  • Supports the full ML lifecycle including development environments, training tasks, and model serving/inference

Recommended for

  • ML engineers and data scientists who need on-demand GPU access across multiple clouds
  • Teams wanting to reduce GPU costs by leveraging spot instances and multi-cloud flexibility
  • Organizations seeking a lighter-weight alternative to Kubernetes for AI workloads
  • Startups and research labs training or fine-tuning models who want to avoid cloud vendor lock-in
  • Developers who prefer open-source, self-hosted infrastructure tooling

Videos

Walkthroughs and reviews on video.

CDN77 2 videos + Add
dstack 0 videos + Add

[Review Tech] Cdn77 review

More videos

  • - [Review Tech] Cdn77 review

No dstack videos yet. You could help us improve this page by suggesting one.

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
CDN77
dstack
100% 100%
CDN
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
AI
100% 100%

User comments

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Reviews and articles

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

CDN77 no reviews yet
dstack no reviews yet

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

Social recommendations and mentions

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

CDN77 0 mentions
dstack 1 mention

Tracking CDN77 since Mar 2021.

  • [P] I built a tool to compare cloud GPUs. How should I improve it?
    I also noticed that the creator of this app, dstack, is affiliated with Tensordock, the top results for most if not all queries. If that's the case, perhaps a direct link to the cheapest machine could be provided? I haven't used... Source: almost 3 years ago

Alternatives to CDN77 and dstack

When comparing CDN77 and dstack, you can also consider the following products.