Multi-Tenancy and Resource Isolation Protocols
Hardening the Inference Sandbox
In a shared IaaS ecosystem, robust isolation is required to prevent data leakage and ensure Performance Level Agreements (PLAs). Isolation occurs at three levels: the network, the compute kernel, and the memory. At the compute level, providers use CUDA Multi-Process Service (MPS) or Multi-Instance GPU (MIG) to create hard hardware boundaries. MIG, specifically, allows a single A100 or H100 to be carved into seven independent instances, each with its own dedicated high-bandwidth memory and compute units.
Beyond hardware, the software stack employs gVisor or Firecracker MicroVMs to sandbox the inference code. This prevents "jailbreak" attempts where a malicious user might try to access the model weights or the input data of another tenant. By combining hardware-level partitioning with lightweight virtualization, IaaS platforms achieve a balance between the efficiency of a shared environment and the security of a private cloud.