Secured & Serverless FastAPI with Google Cloud Run
Deploy app servers close to your users · Fly
fly.io
Deploying a Generative AI model requires more than a VM with a GPU. It normally includes:
- Container Service : Most often Kubernetes to run LLM Serving solutions like Hugging Face Text Generation Inference or vLLM.
- Compute Resources : GPUs for running models, CPUs for management services
- Networking and DNS : Routing traffic to the appropriate servic
Understanding the Cost of Generative AI Models in Production
Koyeb is a developer-friendly serverless platform designed to let businesses easily deploy reliable and scalable applications globally. The platform has been created by Cloud Computing Veterans and is financially backed by industry leaders.
Koyeb allows you to deploy all kind of services including full web applications, APIs, and background workers.
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Koyeb allows you to deploy all kind of services including full web applications, APIs, and background workers.
... See more
Introduction
The human-centric platform for production ML & AI
Access data easily, scale compute cost-efficiently, and ship to production confidently with fully managed infrastructure, running securely in your cloud.
Access data easily, scale compute cost-efficiently, and ship to production confidently with fully managed infrastructure, running securely in your cloud.
Infrastructure for ML, AI, and Data Science | Outerbounds
For example, an application may use Microsoft Azure for storage, AWS for compute, IBM Watson for deep learning, and Google Cloud for image recognition.