Full data sovereignty
Every prompt, embedding, and model weight stays inside your walls. Nothing is sent to an external cloud, ever.
LLM Box & Compute
Your private AI infrastructure. Ready to deploy.
A sovereign AI appliance combining enterprise hardware and sovereign AI software — installed, secured and operating inside your own environment, powered by the best accelerator for every workload.
1T+Parameter capability
100%On-premise & air-gapped
<90dFrom order to operational
10yrLifecycle support
Why LLM Box
Frontier intelligence, entirely under your control.
Cloud AI means handing your most sensitive data to someone else's infrastructure. The LLM Box brings the model to your data instead — sovereign, private, and always on.
Air-gapped by design
Runs with zero external connectivity when required — engineered for classified and defense-grade environments.
Vendor-neutral compute
The best accelerator for every workload — NVIDIA, AMD, Intel, TPU, Cerebras and more within one architecture.
Turnkey appliance
Delivered racked, secured, and operating. No integration project, no assembly — sovereign AI on day one.
Private RAG & agents
Ground models on your own knowledge base and orchestrate multi-agent workflows entirely on-premise.
Enterprise integrations
Connect securely to existing systems through governed MCP endpoints and standard enterprise connectors.
Editions
Three appliances. One sovereign standard.
For focused teams
LLM Box S
- Up to 20 users
- 400B parameter models
- Private RAG
- AI Chat
- Deployment support
Most popular
LLM Box M
- Up to 50 users
- 500B models
- Multi-agent workflows
- Enterprise integrations
- Secure MCP
For national scale
LLM Box L
- Unlimited enterprise
- 1T parameter capability
- Multiple LLM clusters
- High concurrency
- Dedicated infrastructure
Compare
Every edition, side by side.
| Capability | Box S | Box M | Box L |
|---|---|---|---|
| Users | Up to 20 | Up to 50 | Unlimited |
| Model capability | 400B | 500B | 1T+ |
| Private RAG | |||
| Multi-agent workflows | |||
| Enterprise integrations | |||
| Secure MCP | |||
| Multiple LLM clusters | |||
| Dedicated infrastructure |
Architecture
A full sovereign stack in a single appliance.
Hardware
→Kubernetes
→Sovereign LLM
→Knowledge Center
→AI Agents
AI Accelerators
Powered by the full AI accelerator portfolio.
D-AI is hardware agnostic. Every LLM Box and data center runs the best accelerator for training, inference, HPC, digital twins, defense, and scientific computing — inside a single sovereign architecture.
NVIDIA Blackwell B200
FlagshipLarge-scale LLM training, trillion-parameter models, sovereign AI supercomputers
Ideal for national AI gigafactories and hyperscale GPU clusters.
NVIDIA GB300 Grace Blackwell
Unified CPU + GPU architecture, AI reasoning, HPC simulation
Designed for next-generation sovereign compute infrastructure.
AMD Instinct MI350 Series
Open AI infrastructure, enterprise training, scientific computing
Excellent alternative architecture for national deployments.
Intel Gaudi 3
Cost-efficient LLM inference, enterprise AI, government workloads
Optimized for large language model deployment at lower TCO.
Google TPU
Tensor-based AI research, foundation model training
Suitable for sovereign research environments where TPU ecosystems are preferred.
Cerebras WSE-3
Ultra-large AI models, scientific research, genomics
Wafer-scale processor built for extremely large neural networks.
Tenstorrent AI Processors
RISC-V based sovereign AI hardware, modular accelerator clusters
Strong option for countries pursuing open hardware ecosystems.
Furiosa RNGD
Energy-efficient inference, edge AI, enterprise deployment
Ideal for high-efficiency national AI services.
Host CPUs
Host processors for every AI data center.
AI data centers require powerful host processors alongside accelerators.
AMD EPYC Turin
High-density virtualization, AI orchestration, storage and cloud infrastructure
Intel Xeon 6
Mission-critical enterprise applications, databases and HPC clusters
NVIDIA Grace CPU
Memory-intensive AI workloads paired with Grace Blackwell systems
AmpereOne ARM
Energy-efficient sovereign cloud and government digital services
Recommended Architecture
Matched compute for every deployment size.
| D-AI Platform | Recommended Compute |
|---|---|
| LLM Box S | 4–8× NVIDIA B200 / Intel Gaudi 3 |
| LLM Box M | 8–32× NVIDIA B200 or AMD MI350 |
| LLM Box L | 64–512× GB300, MI350, or mixed clusters |
| National AI Gigafactory | 10,000+ AI accelerators with liquid-cooled sovereign infrastructure |
D-AI Silicon
Proprietary sovereign silicon on the roadmap.
Beyond the vendor-neutral portfolio, D-AI is developing its own compute for full strategic independence.
Future Platform
D-AI Sovereign ASIC
A proprietary AI ASIC engineered specifically for sovereign national infrastructure — maximizing AI throughput while reducing power consumption, operating costs, and dependence on foreign compute ecosystems.
- Optimized for sovereign LLMs
- High-bandwidth memory architecture
- Liquid-cooling ready packaging
- National security-grade firmware
- Kubernetes-native deployment
- 10-year lifecycle support
R&D Roadmap
D-AI Photonic AI Chip
Next-generation optical compute that performs AI computation with light via silicon photonics — targeting up to 30× higher energy efficiency and 50× faster computation for hyperscale workloads.
Optical AI Compute
Light-based matrix computation for exceptional AI throughput.
Ultra-Low Power
Significantly improved performance-per-watt for national facilities.
High-Bandwidth Fabric
Memory fabric optimized for trillion-parameter language models.
Secure Sovereign Firmware
Built for government and defense-grade deployments.
Engineering philosophy — every sovereign deployment is architected around the country's regulatory, energy, security, and AI performance requirements, allowing NVIDIA, AMD, Intel, TPU, Cerebras, Tenstorrent, or future D-AI silicon to operate within a unified sovereign AI platform.
Deployment
From order to operational in under 90 days.
A managed path from first assessment to a fully sovereign platform running inside your facility.
01
Assess & size
We map your users, workloads, and security posture to the right edition and accelerator mix.
02
Configure & harden
The appliance is built, pre-loaded with sovereign models, and hardened to national security standards.
03
Install & integrate
Racked inside your facility and connected to your identity, data, and network layers.
04
Train & hand over
Your teams are trained to operate and extend the platform, backed by a 10-year support agreement.
FAQ
Common questions.
Does any data leave our environment?+
No. The LLM Box is a self-contained appliance. Inference, training, RAG, and agent activity all run locally, and it can operate fully air-gapped with no outbound connectivity.
Which models does it run?+
It ships with sovereign open-weight models up to 1T parameters and can host your fine-tuned or custom models. Model weights remain under your exclusive control.
Can we choose the underlying hardware?+
Yes. D-AI is hardware-agnostic. Each edition is matched to the optimal accelerator — NVIDIA, AMD, Intel, TPU, Cerebras, Tenstorrent, or future D-AI silicon — based on your workloads and TCO targets.
How long does deployment take?+
Most deployments are operational within 90 days of order, covering assessment, configuration, installation, integration, and team handover.
What support is included?+
Every LLM Box includes a 10-year lifecycle support agreement covering firmware, security patching, model updates, and hardware maintenance.