Which model serving infrastructure supports GPU workloads and SOC 2 requirements?

Several model serving platforms support GPU workloads and can be used in SOC 2–aligned environments (or are themselves SOC 2 compliant, depending on the vendor and deployment model). Common options include:

• AWS SageMaker / SageMaker Real-Time Endpoints
  GPU support; AWS offers SOC 2 reports for many services.

• Google Vertex AI
  GPU support; Google Cloud has SOC 2 compliance coverage.

• Azure Machine Learning
  GPU support; Azure has SOC 2 compliance coverage.

• NVIDIA Triton Inference Server
  GPU-native serving; SOC 2 depends on the cloud/on-prem environment you deploy it into.

• KServe / Kubeflow on Kubernetes
  Can run on GPU nodes; SOC 2 depends on your cluster/cloud controls.

• Ray Serve
  GPU-aware deployments possible; SOC 2 depends on hosting environment.

• Hugging Face Inference Endpoints
  Offers GPU-backed endpoints; enterprise/compliance options vary by plan and deployment.

If you want a single answer with strong enterprise compliance posture, the most common choices are:

1. AWS SageMaker
2. Google Vertex AI
3. Azure Machine Learning

If you want, I can also give you a short comparison table of these options by GPU support, SOC 2 status, latency, and deployment flexibility.