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A workstation-class personal server designed for individuals who want to run large AI models privately at home. Your exocortex. Private, local, and entirely yours. Buy Silo Box

Who is this for?

For those who want their own Jarvis at home. For people who want no cloud dependency at all.

All your data, one place

Connect all your personal data sources into a single, private system. Your emails, documents, photos, notes, calendars, and more. All indexed, all searchable, all under your control. A personal AI that works around the clock without sending a single byte to external providers.

We build with you

This isn’t just hardware. We work closely with Silo Box owners to build custom workflows that unlock the full potential of your data. Want to connect a new data source? Need a specific automation? We’ll build it with you. Our goal is to continually expand what your personal AI can do.

Core Specifications

Graphics: 3x NVIDIA RTX 6000 Pro (Blackwell Max-Q)

  • 96 GB GDDR7 each, 288 GB total
  • PCIe 5.0 x16 per card
  • 300 W TDP per GPU

Processor: AMD Threadripper PRO 9975WX

  • 32 Cores / 64 Threads
  • 4.0 GHz base / 5.4 GHz boost
  • 128 MB L3 Cache

Memory: 512 GB DDR5 ECC

  • 8 x 64 GB modules
  • DDR5-5600 MT/s speed
  • ECC for data integrity

Storage: 2 TB NVMe + Expandable

  • 1 x 2 TB PCIe 4.0 NVMe
  • Optional 8-16 TB expansion
  • ZFS/btrfs mirror support

Complete Specifications

ComponentDetail
GPU Model3x NVIDIA RTX 6000 Pro Blackwell Max-Q
GPU RAM96 GB GDDR7 per GPU (288 GB total)
GPU InterconnectPCIe 5.0 x16 per card (~64 GB/s each direction)
CPUAMD Threadripper PRO 9975WX, 32C/64T, 4.0-5.4 GHz
System RAM512 GB DDR5-5600 ECC REG (8 x 64 GB)
Fast Storage1 x 2 TB PCIe 4.0 NVMe SSD
MotherboardASUS Pro WS WRX90E-SAGE SE
NetworkingDual 10 GbE onboard; optional 100 GbE NIC
Power Supply2000 W 80 PLUS PSU
Power Draw~1515 W max on 120 V / 20 A circuit
ChassisFractal Meshify 2 XL
CPU Cooling360 mm AIO liquid cooler

What you can do with it

  • Run large LLMs locally: Run the largest language models without quantization. PCIe-sharded inference across 3 GPUs.
  • Host multimodal agents: Run multimodal models and autonomous agents privately. Vision, audio, and text. All local.
  • Personal cloud storage: Replace Dropbox with mirrored local storage. Your data stays safe and entirely yours.
  • Fine-tuning and training: Optimized for fast multi-GPU inference and fine-tuning on your own data.

Home Deployment

Designed for real-world home use with practical power, thermal, and acoustic considerations.
  • Power: ~1.5 kW typical load at 120V. Requires dedicated 15A or 20A circuit.
  • Thermals: ~5,170 BTU/hr at typical load. Ensure clear exhaust path.
  • Acoustics: ~45-65 dBA sustained. Quieter with power capping.

Monthly Operating Cost

Estimated electricity cost for 24/7 operation:
ModeCost
Home Mode (1.5 kW)162to162 to 270/month
Full Performance173to173 to 288/month
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