GitHub hosts HunyuanVideo, Tencent's open-source framework for large-scale video generation models, enabling AI-driven video creation.
Koyeb

About Koyeb
Koyeb is a cloud platform designed for deploying high-performance AI applications across GPUs, CPUs, and accelerators without managing infrastructure. It supports global scaling and autoscaling, enabling applications to handle varying workloads efficiently. The platform works natively with popular programming languages and Docker containers, simplifying deployment for developers. Built-in security features make it suitable for production use, while serverless microVMs ensure low-latency performance across 50 global locations. Users can deploy scalable machine learning endpoints, fine-tune AI models, and serve real-time AI APIs with minimal configuration. It is particularly well-suited for machine learning engineers, data scientists, AI researchers, DevOps engineers, and cloud architects who need a streamlined way to run AI workloads in the cloud.
Key features
- Deploy AI apps across GPUs, CPUs, and accelerators
- Global scaling and autoscaling for variable workloads
- Native support for popular languages and Docker containers
- Built-in security for production environments
- Serverless microVMs for low-latency performance
- One-click scaling for resources
- 50 global deployment locations
- Minimal infrastructure management required
Use cases
- Deploy scalable machine learning endpoints
- Run AI model fine-tuning in the cloud
- Serve real-time AI APIs with global availability
Pros
- Deploys AI applications across GPUs, CPUs, and accelerators without infrastructure management
- Supports global scaling with autoscaling and sub-100ms latency in over 50 locations
- Native support for popular programming languages and Docker containers
- Built-in security features and zero-downtime deployments with automatic health checks
- Offers serverless microVMs for low-latency performance and instant API endpoints
Cons
- Pricing details are complex with multiple hardware tiers and usage-based costs
- May require familiarity with cloud infrastructure concepts for advanced configurations
Frequently asked questions about Koyeb
What is Koyeb and what does it do?
Koyeb is a cloud platform designed for deploying high-performance AI applications, APIs, inference endpoints, and databases without managing infrastructure. It supports global scaling across GPUs, CPUs, and accelerators, enabling applications to handle varying workloads efficiently with minimal configuration.
Who is Koyeb suitable for?
Koyeb is suitable for machine learning engineers, data scientists, AI researchers, DevOps engineers, cloud architects, and developers who need to deploy scalable AI workloads, fine-tune models, or serve real-time AI APIs without infrastructure management.
How does Koyeb handle scaling and performance?
Koyeb offers automatic scaling, serverless containers, and serverless microVMs to scale applications from zero to hundreds of servers in seconds with sub-200ms cold starts. It supports global deployment across over 50 locations for sub-100ms latency.
What programming languages and frameworks does Koyeb support?
Koyeb supports deploying applications written in popular programming languages and Docker containers without modification. It is designed to work seamlessly with any stack, from web apps to inference endpoints.
Does Koyeb provide built-in security features?
Yes, Koyeb includes security features built-in at all layers, making it suitable for production use. It also offers zero-downtime deployments with automatic health checks to ensure continuous availability.
How can I get started with Koyeb?
You can get started with Koyeb by deploying applications via a Git push or CLI call. The platform offers one-click deployment for APIs, models, and full-stack apps, with options to start in seconds and scale as needed.
Koyeb Website Engagement
Last Update: 9 days ago
Monthly Traffic
Traffic Sources
Traffic Share By Country
- Pakistan13.5%
- India12.7%
- United States6.3%
- Ghana5.1%
- Indonesia4.8%