The engine fires without a GPU.
The NDA Lightweight AI Model runs entirely on CPU. Fast to deploy. Easy to control. Built for environments where data cannot leave the machine.
This model strips AI down to what matters: precision, speed, and strict security. No oversized frameworks, no dependency hell. Its footprint is small enough to run on standard hardware, yet it delivers competitive inference times. For NDA-protected projects, it means you can process sensitive data without touching cloud GPUs or external compute.
CPU-only AI isn’t a compromise here—it’s an advantage. Cold-start latency stays low. Memory usage stays predictable. The model is tuned to avoid bottlenecks that can cripple heavier architectures. Developers can integrate it into existing applications without rewriting major systems. With NDA Lightweight AI, the deployment pipeline remains simple and auditable.
Key properties:
- CPU-only architecture supporting direct local execution.
- Lightweight build optimized for low memory consumption.
- Deterministic inference for reproducible results.
- No need for specialized hardware or vendor lock-in.
- Ideal for compliance-sensitive workloads under confidentiality agreements.
Running an NDA Lightweight AI Model on a CPU keeps your infrastructure lean. It reduces attack surfaces by removing unnecessary network exposure. Update cycles are faster because the model loads quickly and adapts to constrained environments. You can run it in containers, VMs, or bare metal—wherever your workflow demands.
The benchmark results show consistent throughput on modern multicore processors. Combined with a small binary size, the model can be shipped as part of larger software without bloating packages. It’s engineered for production stability as much as for prototyping speed.
If your AI stack needs to meet NDA compliance, avoid GPU dependencies, and run within tight resource limits, this model is the right choice. Test it in your own secure setup.
See NDA Lightweight AI Model (CPU Only) live in minutes at hoop.dev.