Cloud-scale AI models on commodity hardware. Slash infrastructure costs by 20x. No GPU cluster required.
Our patented monaddLLM system adapts any commodity desktop or server to run massive frontier AI models via storage-centric technologies — only 1-2 GPUs required.
Cheap parallel storage replaces expensive high-bandwidth memory, enabling massive model parameters to stream through commodity hardware.
Install monaddLLM on your existing hardware. Optional Storage Accelerator card for maximized performance — no infrastructure overhaul.
Run frontier AI completely offline. Your data never leaves your hardware — ideal for regulated industries and sensitive workloads.
Watch the technical walkthrough of monaddLLM architecture.
Pre-configured workstations optimized for monaddLLM and local frontier AI workloads.
Balanced performance for everyday AI workloads and professional use.
High-performance workstation for demanding AI workloads and team deployments.
Maximum performance for demanding AI workloads and enterprise deployments.
Custom accelerator card for maximum local inference throughput.
Custom-designed for maximum performance with monaddLLM and local AI inference.
Each card accelerates storage I/O by 5x (cumulative). Scale by adding more cards — limited only by your CPU.
Operating at near theoretical peak — 95% of PCIe 5.0 limits (63 GB/s). Alternatives typically operate at 79% or lower.
Plug-and-play with any PC. Unlike off-the-shelf solutions that are hard to configure and not widely compatible.
Custom-designed for maximum performance with monaddLLM. No compromises, no bottlenecks.
Monadd-AI decouples model size from infrastructure scaling, enabling new offline and remote advanced AI capabilities.
Proactive hazard detection with on-prem AI — data never leaves the facility. Partnering with Lunero for childcare hazard detection.
Run compliant AI models on-prem. Meet regulatory requirements without sacrificing model capability or speed.
Advanced AI for document analysis and compliance — fully offline, with audit logs and enterprise-grade privacy.
Unlimited local AI requests with frontier models. For consultants, researchers, and independent professionals.
From independent professionals to regulated enterprises — run frontier AI on your terms.
For professionals and power users
For small, collaborative teams
For individuals and power users
For regulated SMEs, annual contract
Curious about Monadd-AI? We've got the answers to your most pressing questions.
monaddLLM is built around storage-centric inference: instead of forcing huge models entirely into scarce GPU memory, the system streams parameters through fast storage I/O on commodity desktops and servers. That decouples model scale from traditional GPU-cluster economics and is how we target cloud-scale models without a room full of accelerators.
Only 1-2 GPUs are required for our approach—the value proposition is running large models on commodity hardware using storage bandwidth and our software stack. You can still pair the stack with your existing machines; optional Monadd Storage Accelerator cards push I/O higher when you want maximum throughput.
Ascend Eco suits everyday and professional AI workloads with balanced performance. Ascend Super is aimed at heavier local inference and small-team setups. Ascend Apex is for the most demanding and enterprise-style deployments where you want the headroom to run the largest workloads on Ascend hardware. All are pre-configured for monaddLLM.
It is a custom accelerator card that multiplies storage I/O performance for monaddLLM—designed to run near the practical limit of PCIe 5.0 (on the order of 60 GB/s), with stackable cards for more throughput where the host allows. It is plug-and-play with standard PCs and is developed in-house for this inference architecture.
Inference runs locally on your hardware; data does not need to leave your network for model execution. That supports strict data residency, audit, and compliance goals in sectors like healthcare, finance, and legal—aligned with the on-prem use cases we highlight on this page.
Software is offered in tiers—Pro, Teams, Lifetime, and Enterprise—for different collaboration and compliance needs. Hardware such as Ascend PCs and the Storage Accelerator is optional but optimized for the workload. Together they replace unpredictable per-token cloud spend with a clearer cap-ex and subscription model.
Our technical walkthrough video explains how monaddLLM runs cloud-scale models on limited local hardware:
Explore MonaddLLM software plans, review Ascend PCs and the Storage Accelerator on this page, and use our contact options when you are ready to discuss deployment, sizing, or partnerships. We can help match software tier and hardware to your workload and compliance requirements.