GPUaaS, or GPU-as-a-Service, is a cloud model where customers rent graphics-processing units and related accelerator capacity on demand instead of buying and operating their own hardware. It is commonly used for AI training, inference, simulation, and other compute-heavy tasks that need large amounts of parallel processing.
In cyber security, GPUaaS matters because it turns high-value compute into a third-party dependency. Security teams must consider not only data protection, but also tenancy isolation, identity and access controls, logging, exportability, and jurisdiction over the provider. Attackers may abuse GPUaaS to scale password cracking, malware analysis, bot automation, or AI model abuse without owning the hardware. Defenders use it for burst capacity, resilience testing, and secure, audited AI workloads, but they also need clear exit plans and concentration limits so one provider does not become a single point of failure.