Serverless GPU Architectures: Utilising Cloud Functions and Dynamic GPU Scaling for Cost-Effective Hosting of Inference Endpoints
Hosting modern AI inference can become expensive quickly, especially when your endpoint needs GPUs, low latency, and high availability. The typical approach—keeping GPU instances running 24/7—works, but it wastes money during quiet hours and makes it harder to scale predictably during spikes. A serverless GPU architecture aims to solve this by allocating GPU capacity only […]