Best serverless GPU AI tools

Baseten is a production-grade inference platform for deploying, scaling, and managing AI models. It offers high-performance runtimes, seamless developer workflows, and flexible deployment options (cloud, self-hosted, hybrid). Ideal for engineering and ML teams building mission-critical AI applications.

Release.ai is an enterprise-grade platform for developers to easily deploy, manage, and scale high-performance AI models. It offers sub-100ms inference latency, seamless auto-scaling, robust security, and a vast library of pre-optimized models, enabling rapid integration into any development workflow with just a few lines of code.

Tensorfuse is a serverless GPU platform that allows developers to fine-tune, deploy, and auto-scale generative AI models on their own AWS cloud. It simplifies infrastructure management, offering features like serverless inference, job queues, and dev containers to accelerate development, reduce costs, and eliminate DevOps overhead.

Salad is a distributed GPU cloud platform that harnesses unused computing power from a global network of consumer PCs. It offers businesses highly affordable and scalable on-demand GPU resources for AI/ML workloads, model training, and inference, reducing compute costs by up to 90% compared to traditional cloud providers.

A cloud-based platform for running ComfyUI workflows online without expensive hardware. It offers a serverless environment, one-click API deployment for AI applications, and pay-as-you-go access to high-performance GPUs like H100 and A100. It simplifies the entire process from workflow creation to scalable deployment.

Banana was a serverless GPU platform designed for AI developers to deploy and scale machine learning models for inference. It offered features like autoscaling GPUs, at-cost compute pricing, and a full suite of DevOps tools. Please note: The Banana platform was officially sunsetted on March 31, 2024, and is no longer operational.