NVIDIA AIE Essentials Subscription per GPU, Renew 13 Months | Cisco AI — NV-AIE-S-R-13M=

Keep AI workloads covered with a renewal subscription built around GPU-based licensing. NVIDIA AIE Essentials provides a straightforward way to extend entitlement for environments already running AI infrastructure, with a 13-month term that supports planning cycles, budget alignment, and continuity of service. Per-GPU licensing is especially useful in environments where capacity is measured by accelerator count rather than seats or general-purpose compute. That makes this subscription easier to map to real deployment architecture, whether the stack supports inference, model development, or broader AI operations. For procurement teams, the appeal is predictability. A renewal term reduces ambiguity around coverage windows, while the per-GPU model keeps licensing tied to the hardware actually driving the workload. For technical teams, it means less friction when maintaining existing NVIDIA-based AI environments and a cleaner path to extend support and entitlement without changing the underlying design. This is the kind of subscription that makes sense when uptime, planning discipline, and infrastructure fit matter more than broad packaging. It is built for organizations that already know their GPU footprint and want to keep it covered with minimal disruption. Ideal For Renew licensing for existing NVIDIA GPU-based AI deployments Maintain entitlement for inference or model development environments Plan annualized AI infrastructure spend with a 13-month term Keep accelerator-based workloads covered without changing deployment architecture Why This Product 1 Per-GPU licensing versus seat-based software licensing 2 13-month renewal term versus open-ended coverage 3 Hardware-aligned entitlement versus generalized subscription packaging 4 NVIDIA platform focus versus vendor-neutral AI licensing