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Single CPU - Private AI Solutions
Affordable Private AI — Simple Single-Server Deployments
Now you can launch your own confidential AI directly at your premises. Build and operate your own AI on infrastructure you control — even on a single GPU server. This small, affordable setup is ideal for inferencing and internal AI assistants that use your company’s confidential data securely and locally. Our ready-to-deploy stack keeps your information private while supporting models such as DeepSeek or similar. No multi-tenant exposure, no external access — fully self-hosted.
Operational Control
Full control on-prem: standard APIs, governed access, deep observability, and no dependency on shared infrastructure. Integrates easily into existing compliance frameworks.
Confidential by Design
Single-tenant or isolated private deployments. Encryption in transit and at rest, role-based access, and audit logs. Confidential computing protects both data and model during use.
Single-Server Simplicity
Almost no additional infrastructure required. One Supermicro server is enough to host your AI securely and efficiently — with upgrade paths ready as your usage grows.
Core capabilities
- Run pre-trained AI models like DeepSeek or similar on a single GPU server
- Confidential inference directly within your infrastructure
- End-to-end encrypted data and model storage
- Private inference gateways; no public endpoints by default
- Self-hosted RAG over internal data: your AI “knows” your documents
- Compliance-ready: RBAC, audit logging, and data residency control
- Upgradeable to multi-GPU clusters when needed
Pre-designed SERVER SIMPLY Private AI solutions
| Component | S | M | L |
|---|---|---|---|
| Base System | AS-5126GS-TNRT2 | AS-5126GS-TNRT2 | AS-5126GS-TNRT2 |
| CPUs | 2 × AMD EPYC 9535 | 2 × AMD EPYC 9535 | 2 × AMD EPYC 9535 |
| Memory | 8 × 64GB DDR5-6400 ECC REG | 16 × 64GB DDR5-6400 ECC REG | 24 × 96GB DDR5-6400 ECC REG |
| Boot Drive | 960GB Micron 7450 PRO | 960GB Micron 7450 PRO | 960GB Micron 7450 PRO |
| Data SSDs | 4 × 7.68TB Kioxia CD8P-R | 8 × 7.68TB Kioxia CD8P-R | 8 × 15.36TB Kioxia CD8P-R |
| GPUs | 2 × NVIDIA RTX 6000 SE 96GB | 4 × NVIDIA RTX 6000 SE 96GB | 8 × NVIDIA RTX 6000 SE 96GB |
| Networking | MLNX 25GbE ConX-6 (2× SFP28) | MLNX 25GbE ConX-6 (2× SFP28) | 25GbE ConX-6 + 2 × NVIDIA NDR200 IB ConX-7 |
| TPM | Vertical TPM 2.0 | Vertical TPM 2.0 | Vertical TPM 2.0 |
| Warranty | 3 Years Express | 3 Years Express | 3 Years Express |
| Power Cords | 6 × 1.8m | 6 × 1.8m | 6 × 1.8m |
Easily configure customized AI Private solutions with our ready-to-use variants
S — Private AI Server S
M — Private AI Server M
L — Private AI Server L
Business advantages of keeping AI private
Data sovereignty and IP protection
Your datasets and model artefacts remain fully under your control, with no external access.
Regulatory assurance and auditability
On-prem identity and residency simplify audits and compliance checks.
Lower risk and liability
Smaller attack surface and predictable governance make confidential AI feasible for SMEs.
Model accuracy from internal knowledge
Your AI can use internal documents and databases, providing domain-specific answers securely.
Cost-efficient and scalable
Start small with one server, expand later. Predictable power, cooling, and budget footprint.
Vendor independence
Use open models and frameworks — you stay in control of updates and costs.
Think of it as your own ChatGPT that knows your company’s documents and runs entirely on your server — private, fast, and compliant.
Conclusion
Private AI doesn’t have to be complex or large-scale. With modern GPU servers, you can deploy a confidential AI assistant that lives inside your organization — powered by open models, secured by confidential computing, and ready to expand as you grow. It’s simple, affordable, and available starting tomorrow.
Products
Server Simply offers fully private, on-prem AI deployments built on powerful Supermicro GPU servers. Our pre-designed S, M, and L configurations make it easy to launch confidential AI workloads such as RAG, inference, and internal assistants on your own hardware. With end-to-end encryption, isolated compute environments, and upgrade-ready architecture, you can run models like DeepSeek securely inside your organization—without relying on public cloud or shared infrastructure.