Good
Office AI Cabinet Starter
- Chassis: 8U wall-mount or tower cabinet
- CPU: Intel Xeon E-2300 or AMD EPYC 3000
- Memory: 32-64GB ECC DDR4
- GPU: NVIDIA RTX 4060 or A4000
- Storage: 2TB NVMe SSD, 8TB RAID1 HDD
- Networking: Dual 2.5GbE LAN, IPMI
Supported AI Models: Llama 2 (7B), MiniGPT-4, Mistral, Sentence Transformers
Use Case: Secure office LLM chat, doc search, edge automation, zero cloud dependency.
Better
Enhanced Multimodal Cabinet
- Chassis: 18U mid-tower/short rack
- CPU: Dual Intel Xeon Silver 4310 or AMD EPYC 7002
- Memory: 128GB ECC DDR4
- GPU: 2× NVIDIA RTX 4090 or 2× L40
- Storage: 4TB NVMe SSD, 24TB RAID5 HDD
- Networking: Dual 10GbE, BMC/IPMI
Supported AI Models: Llama 2 (13B/34B), Mistral Large, Stable Diffusion, Whisper
Use Case: Multimodal LLM+Vision, RAG pipelines, media analysis, business automation.
Best
Enterprise 40U AI Rack
- Chassis: 40U standard data center rack
- Nodes: 4× 2U servers, redundant power
- CPU: Each: 2× Intel Xeon Gold 6338 or AMD EPYC 9004
- Memory: 1TB ECC DDR5 RAM (256GB/node)
- GPU: 8× NVIDIA H100 SXM5, NVLink
- Storage: 16TB NVMe/node, 100TB NAS/SAN
- Networking: 2× 100GbE InfiniBand, VPN endpoints
Supported AI Models: Llama 2 (70B), Falcon-180B, Mistral Medium, Stable Diffusion XL
Use Case: Enterprise model training, real-time inference, private SaaS, research cluster.