Secured & Serverless FastAPI with Google Cloud Run
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
Nicolay Gerold added
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.
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Introduction
Nicolay Gerold added
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
Nicolay Gerold added
For example, an application may use Microsoft Azure for storage, AWS for compute, IBM Watson for deep learning, and Google Cloud for image recognition.
Thomas M. Siebel • Digital Transformation: Survive and Thrive in an Era of Mass Extinction
This great convenience and productivity booster also brings a whole new form of lock-in. Hybrid/multi-cloud setups, which seem to attract many architects' attention these days, are a good example of the kind of things you'll have to think of when dealing with lock-in. Let's say you have an application that you'd like to deploy to the cloud. Easy en... See more
Gregor Hohpe • Don't get locked up into avoiding lock-in
Andrés added
Lucas Kohorst added
Setting up the necessary machine learning infrastructure to run these big models is another challenge. We need a dedicated model server for running model inference (using frameworks like Triton oder vLLM), powerful GPUs to run everything robustly, and configurability in our servers to make sure they're high throughput and low latency. Tuning the in... See more
Developing Rapidly with Generative AI
Nicolay Gerold added
This, to our minds, sums up the benefits of the cloud: highly scalable, fast to market, and cost efficient. Institutions