equesting quota increases for Azure Container Apps Consumption GPU workloads.

Use case: Deploying Azure Functions with GPU support for AI/ML workloads using PyTorch.

Requirements:

1. A100 GPUs (heavy workloads):
   - Region: Sweden Central
   - Quota type: Managed Environment Consumption NCA100 Gpus
   - Requested quota: 24 vCPU (NC24-A100 profile for intensive PyTorch models)
   - GPU type: NVIDIA A100 80GB

2. T4 GPUs (development/testing):
   - Region: Sweden Central
   - Quota type: Managed Environment Consumption T4 Gpus
   - Requested quota: 16 vCPU (for smaller tests and development workloads)
   - GPU type: NVIDIA T4 16GB

Current quotas: 0 for both types
Needed for: GPU-accelerated Azure Functions running PyTorch models in development and production scenarios

This will enable flexible serverless GPU scaling for containerized Azure Functions with both high-performance A100 and cost-effective T4 options.