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claude-memory-storai/project_infrastructure.md
Claude Code da5df6df40 Auto-sync memory 2026-04-22_00:55
2026-04-22 00:55:09 +03:00

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name, description, type
name description type
Full Infrastructure Map Complete server/GPU/storage/VPN infrastructure - 49 machines, Claude is central brain from gama-2 project

Claude is the central brain managing the entire Biton AI infrastructure from gama-2 server.

Servers (OVH Europe)

ID Domain Public IP Tailscale IP Model GPU Memory CPU Location
GAMA_2 cloudai.yohay.ai 162.19.126.209 100.91.235.15 AMD Ryzen 9 9950X3D 1920 cores 128GB 16 GRA3, France
ks-store arcai.yohay.ai 51.178.66.135 100.107.204.61 Intel Xeon-D 1521 24500 cores 16GB 8 SBG3, France
ks-7 storai.yohay.ai 51.195.88.44 100.65.251.45 AMD Epyc 7451 8000 cores 256GB 48 LIM1, France

DGX Spark Blackwell (Israel, Tel Aviv)

ID Domain Tailscale IP GPU Memory Storage CPU RAM
dgxmain dgxmain.yohay.ai 100.85.34.90 128GB 4TB NVMe 20 cores 128GB
dgxsec dgxsec.yohay.ai 100.65.11.71 128GB 4TB NVMe 20 cores 128GB

Home/Personal Machines (Israel)

ID Domain Tailscale IP GPU RAM
mainh mainh.yohay.ai 100.68.36.112 RTX 5060i 16GB 32GB
lapai lapai.yohay.ai 100.75.17.29 RTX 5070 Ti 12GB 32GB
5060 5060.yohay.ai 100.72.40.106 MX250 4GB 16GB

Mobile Devices

  • tabai (nubia RedMagic Astra tablet) - Android 15, 24GB RAM
  • telai (RedMagic 11 Pro) - Android 16, 24GB RAM
  • s22ai (Samsung S22 Ultra) - Android 16, 12GB RAM

Totals

  • 280 TOPS, 48932 GPU cores, 796GB GPU memory, 184 CPU cores

Cloud Services

  • Vast.ai (GPU rental), Storj (storage), AWS EC2, Alibaba Cloud, Cloudflare, Wix
  • Google Cloud (mdmai-493621), PolarDB, Grafana, Bunny CDN, TrueNAS
  • ManageEngine MDM, GitHub, Mountain Duck

VPN

  • Tailscale network: 49 machines under yohay.ai domain
  • All connected via private VPN - no public exposure needed
  • API key stored at /tmp/tailscale-api-key

Central API

  • enroll.yohay.ai (port 9098) = central hub connecting Google Cloud + Aster + OpenClaw
  • Cloudflare tunnels for external access

Why: Claude needs full topology to route tasks optimally. How to apply: Heavy AI -> DGX. Storage -> storai/ks-7 (24TB) or Storj. MDM -> enroll.yohay.ai. All internal via Tailscale.

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