November 2025 Summaries

Koyeb offers high-performance serverless infrastructure designed for intensive applications, providing secure, isolated microVMs on bare-metal servers to run AI-generated code at scale with fast startup times and minimal cold starts. Recently, Koyeb introduced Koyeb Sandboxes, a new solution in public preview that allows for the rapid deployment of isolated environments to execute AI-generated and untrusted code securely. Sandboxes are available for pay-as-you-go plans and enable users to run AI agents, prototype applications, and test APIs without configuring local infrastructure. The Koyeb Python SDK simplifies the process of creating and managing these sandboxes, which support diverse workloads across multiple regions and are billed based on compute and storage resource consumption.

Koyeb offers a high-performance serverless infrastructure for running and scaling dedicated GPU containers with no configuration, effectively eliminating the need for managing servers or infrastructure. By reducing the prices of popular NVIDIA GPUs like L40S, A100, and H100 by up to 24%, Koyeb aims to make high-performance AI workloads more accessible and cost-effective, allowing users to only pay for the compute they use. The platform supports native autoscaling and Scale-to-Zero, enabling users to experiment, deploy, and fine-tune AI models efficiently without idle costs. Koyeb's serverless GPU instances are billed per second, and the recent price drop also applies to multi-GPU configurations, enhancing scalability and efficiency for AI builders. With built-in observability and metrics, the unified platform supports deploying and scaling workloads across GPUs, CPUs, and accelerators, facilitating rapid experimentation and on-demand scaling.

In 2025, as AI models increasingly automate code generation and deployment, developers encounter new challenges in safely executing code they did not author, leading to the rise of sandboxes as vital infrastructure. Sandboxes provide secure, isolated environments for testing, validating, and monitoring AI-generated code, preventing risks to production systems and supporting workflows like reinforcement learning and web interaction. Platforms such as Koyeb are highlighted for their serverless container capabilities, offering strong isolation, CI/CD integration, and cost-effective, pay-as-you-go pricing, making them ideal for transitioning AI-generated prototypes to production-ready environments. Koyeb's platform excels with features like secure isolation, autoscaling, and global deployment options, positioning it as a leading choice for developers seeking reliable, scalable, and safe execution of AI-generated code.