STRATUM GPU Firewall

GPU compute is becoming one of the most valuable resources in modern infrastructure. STRATUM GPU Firewall inserts a STRATUM-controlled enforcement point directly between virtualized workloads and accelerator providers by using the same proprietary virtual PCI GPU boundary that makes remote GPU capacity appear local to a VM.

The current STRATUM GPU Firewall provides real attachment-level enforcement around GPU access and leases. GPU Access Control Lists can apply Allow / Pass and Deny / Drop decisions before a workload receives accelerator access.

The enforcement point lives in STRATUM-owned infrastructure rather than inside the guest application. That matters because the same GPU may serve workloads located on other hosts, in other datacenters, or across cloud and edge locations through STRATUM Continuum.

AI Accelerator Fabric provides the inventory and placement context around this policy boundary, giving operators one command surface for GPU capacity, provider resources, leases, access control and transport visibility.

STRATUM GPU presents a synthetic PCI accelerator device inside the VM while the physical GPU may live somewhere else in the Continuum. That architecture creates a software-controlled choke point between CUDA/NVML workloads and the physical provider.

Inbound and outbound GPU transport crosses that STRATUM-controlled path. The firewall can therefore make policy decisions before access is granted and can isolate provider resources behind the virtual device boundary.

This is the foundation for applying network-style security thinking to accelerated compute without requiring every AI application to become its own security enforcement system.

The next generation under development moves deeper into the CUDA/NVML path with GPU protocol inspection, threat detection, intelligent security policy, GPU payload observation and automated response.

The objective is to detect malicious GPU workloads, unauthorized accelerator operations, suspicious execution patterns and emerging exploitation techniques, then respond with Deny / Drop enforcement, lease revocation, policy escalation, or workload quarantine.

GPUHammer and GPUBreach illustrate why this work matters. Accelerators now hold model weights, sensitive data, cryptographic material, page tables and privileged relationships with host drivers. The security architecture has to move into the GPU infrastructure with them.

GPU providers can live in a local server, another datacenter, a cloud GPU instance, or a remote edge site. STRATUM still presents the accelerator through the same virtual PCI boundary and the same Accelerator Fabric operating model.

That lets GPU access policy travel with the infrastructure model instead of being recreated as a collection of one-off application rules for every GPU location.

Read Remote GPU Across the STRATUM Continuum for the provider and consumer architecture behind distributed GPU placement.