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hermes-brain/projects/server-rack-build.org
2026-06-01 03:03:11 +00:00

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Server Rack Build — Working Note

Overview

Building out a 10-20U open rack, server-grade components bought individually over months. This is the first racked node — triple duty as Passepartout host, Proxmox home server, and ZFS array. Node-1 (Protectli, i7, 6 NICs) stays as network edge.

Already have 10Gb networking, that's stable.

Current topology

  • Node-1 (Protectli): Small form factor, i7, 6 NICs, no PCIe, no GPU, limited RAM. Network appliance / router.
  • Node-2 (racked): First rack server. Passepartout + Proxmox + ZFS + GPU for local Hermes inference.

Chassis

  • 3U or 4U rackmount
  • Room for full-height GPU, hot-swap drive bays, sufficient airflow
  • Open rack design, 10-20U growable

Platform decision (TBD)

Option Pros Cons
Intel Xeon 6 (Granite Rapids) Newest arch, 12-ch DDR5, 136 PCIe 5.0 lanes, AMX AI accelerators LGA 4710 (new socket, new mobo cost), DDR5 only, expensive
AMD EPYC 7002 (Rome) 128 PCIe 4.0 lanes, 8-ch DDR4, cheap on used market Older gen, DDR4 (slower, but cheap), no AMX
AMD EPYC 9004/9005 (Genoa/Turin) 160 PCIe 5.0 lanes, 12-ch DDR5 More expensive than 7002, but current gen

GPU decision (TBD)

Local inference for Hermes. Candidates:

Option VRAM Price Notes
Intel Arc Pro B70 32 GB GDDR6 ~$949 MSRP Battlemage workstation, air-cooled, 230W, PCIe 5.0 x16. Plug-and-play with standard toolchains.
Tenstorrent P150 (Blackhole) 32 GB GDDR6 ~$1,399 RISC-V Tensix, open source stack, 300W. Software less mature, needs tt-forge compilation. 4x QSFP-DD for linking cards.
RTX 5090 32 GB GDDR7 ~$2,000 CUDA, best software ecosystem. Consumer card, may need blower mod for rack.
RTX 6000 Ada (used) 48 GB GDDR6 ~$4-5K used More VRAM, enterprise. Higher price even used.

Key consideration on P150: not CUDA, not a GPU in the conventional sense. Software maturity is the main cost, not the hardware price.

Memory plan

Start with 2×64GB DDR5 ECC RDIMM, grow to 4×64GB → 8×64GB (full 512GB on 8-channel; or 384GB on 12-channel).

Tradeoff: running fewer DIMMs than full channel count reduces memory bandwidth proportionally. 2 DIMMs on 8-channel = 25% bandwidth. First to suffer: ZFS ARC performance, VM responsiveness. Compute (LLM inference) is fine since GPU has own VRAM.

Alternative: start with 4×64GB to get half bandwidth without crippling storage I/O, then grow to 8×64GB.

Build order (over months)

  1. Rack + chassis + PSU
  2. Motherboard + CPU + RAM + boot drives (runs Proxmox + ZFS immediately)
  3. HDDs for ZFS array (start with 2, grow)
  4. GPU (last piece — when inference workload justifies it)

Questions still open

  • Intel Xeon 6 vs AMD EPYC (which gen)?
  • DDR4 (EPYC 7002) vs DDR5 (everything else)?
  • GPU: Intel Arc Pro B70 vs Tenstorrent P150 vs RTX 5090?
  • Start with 2×64GB or 4×64GB on memory?
  • Water cooling for CPU (Xeon 6 TDP may need it) or just air?
  • Specific rack model / chassis model?

Strategic framing

This node is a bootstrap between Stage 0 (current, conventional) and Stages 3-4 (Lisp machine, bare-metal, in-process LLM on dedicated silicon). DDR4's bandwidth ceiling won't matter because:

  • Proxmox + ZFS + the Gate (Stage 2) don't stress 8-channel DDR4-3200
  • GPU inference uses its own VRAM, not system memory
  • By the time the Lisp machine arrives (different hardware entirely), this node graduates to NAS / Proxmox host duty

Part availability risk is acceptable — at 7+ years of life, the build has already paid for itself many times over, and a motherboard failure means re-platforming onto whatever is current, not trying to resurrect DDR4 infrastructure.