We’re excited to welcome Koyeb to the Vultr Cloud Alliance, expanding our ecosystem of best-in-class cloud solutions. Koyeb provides a serverless cloud for developers and teams to seamlessly deploy AI apps, inference endpoints, and APIs globally across GPUs, CPUs, and accelerators. With a developer-centric experience, Koyeb dramatically reduces deployment time and operational complexity by removing server and infrastructure management for engineering teams.
Partnering with Koyeb brings serverless flexibility to Vultr’s high-performance cloud, enabling businesses and developers to deploy any stack, anywhere, in seconds. This collaboration delivers optimized, cost-effective, scalable cloud solutions to drive innovation.
Composable cloud infrastructure meets serverless deployment
Vultr’s composable infrastructure enables organizations to build enterprise-grade cloud environments without hyperscalers' cost, complexity, and vendor lock-in. By partnering with Koyeb, we’re bringing serverless deployment to Vultr’s high-performance CPU and GPU compute instances, enabling customers to deploy intensive applications globally at any scale. With built-in autoscaling and scale-to-zero, Koyeb maximizes infrastructure efficiency. Supporting any stack, language, framework, and model, Koyeb offers a ready-to-use platform that eliminates infrastructure complexity and accelerates innovation.
Deploy across Vultr’s global network
Vultr is supporting Koyeb’s San Francisco region, with additional regions to be added soon. Beyond that, Koyeb can be deployed on demand in all 32 Vultr cloud data center regions, offering worldwide scalability. Customers can choose between global and regional deployments for optimal performance to meet data compliance requirements.
High-performance compute and Serverless GPU for AI and ML workloads
Koyeb’s platform is built to accelerate AI applications, seamlessly integrating with Vultr’s high-performance CPUs and Vultr Cloud GPUs. Whether running inference workloads, fine-tuning AI models, or scaling AI-powered applications, Koyeb offers automatic scaling, zero-config serverless containers, and built-in autoscaling to handle even the most demanding machine learning tasks.
AI Inference and fine-tuning
Deploy and scale ML models without infrastructure overhead, with up to 8 GPUs and 1TB of HBM memory per instance.
Seamless autoscaling
From zero to hundreds of instances in seconds, optimizing performance and cost.
Complete flexibility
Deploy models on dedicated GPUs including Flux, Phi-4, LLama, DeepSeek, Gemma, Mistral, and any custom model - or run your app on CPU with Inference providers like OpenAI
Wide selection of GPUs
Leverage Vultr Cloud GPU, accelerated by NVIDIA, and deploy your AI native application with Koyeb to optimize performance of AI and ML workloads. You can choose from:
- NVIDIA GH200 Grace Hopper™ Superchip GPU
- NVIDIA H200
- NVIDIA H100
- NVIDIA A100
- NVIDIA L40S
- NVIDIA A40
- NVIDIA A16
Get started today
Deploying with Koyeb on Vultr is simple – start in minutes with a Git push or container deployment.
Want to learn more? Meet us in person at NVIDIA GTC! Stop by Vultr Booth #1533 and join Yann Leger, Co-Founder and CEO of Koyeb, for an insightful session on Tuesday, March 18th, at 3:00 PM PT: “Serverless, Global Deployments Across GPUs and CPUs: Leveraging Vultr’s Global Infrastructure and Koyeb’s Serverless Platform.”
Discover real-world use cases showcasing how serverless architectures optimize AI inference, containerized applications, and dynamic workload scaling across a global footprint.
Not attending GTC? No problem: Contact us and we’ll help you get started with Koyeb on Vultr today!