Tech
Why AI Applications Should Submit Workloads, Not Select GPUs
A developer is building an AI application that needs to run a GPU-backed inference job.
The first implementation looks straightforward:
# Simplified example
provider = CloudGPUProvider ( api_key = API_KEY )
instance = provider . launch_instance (
region = " us-east " ,
instance_type = " gpu.large " ,
gpu_model = " specific-gpu-model " ,
image = " registry.example.com/inference:v1 " ,
)
provider . run_command ( ...
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