r/LocalLLaMA · · 1 min read

The boring way to run Deepseek V4 Flash-0731 130-150 tks - 16x5060ti 16GB over 2 PLX88096 switches

Mirrored from r/LocalLLaMA for archival readability. Support the source by reading on the original site.

The boring way to run Deepseek V4 Flash-0731 130-150 tks - 16x5060ti 16GB over 2 PLX88096 switches
Component Validated configuration
Motherboard ASRock Rack SPC621D8U-2T/OVH
CPU Xeon Gold 6330 (Get gold/platinum if interested in Optane Pmem gimmicks)
GPU fabric Two Broadcom/PLX PEX88096 islands, eight GPUs per island
GPUs 16 x RTX 5060 Ti 16 GB
OS Ubuntu 22.04.5 LTS
Kernel 6.8.0-106-generic
NVIDIA driver Aikitoria patched open driver 610.43.02-p2p
Required BAR1 16,384 MiB on every GPU
  • UEFI boot enabled; CSM disabled.
  • Secure Boot disabled. The locally built EFI application and patched NVIDIA modules are unsigned.
  • Above 4G Decoding enabled.
  • MMIO High Granularity set to 1024G.
  • MMIO High Base set around 56T.
  • SR-IOV disabled on this machine.
  • intel_iommu=off pci=realloc=on,hpmmioprefsize=512G in GRUB;
  • NVreg_EnableResizableBar=1 for the NVIDIA module;
  • Sets size code 1416 GiB BAR1 on each of the 16 GPUs
  • Temporarily disables PCI memory decoding and clears the old BAR1 address so Linux can reallocate it.
  • PLX switch ACS control register: For every PLX/PEX bridge, writes: ECAP_ACS+0x6.w = 0000

After that, a little vibe coding to make custom all-reduce work within each PLX cluster and make DSpark work for pipeline parallel.

For tensor parallel 8, pipeline parallel 2:

500k context available. Around 4000 pp up to 500k context, tg 100-150 (Averaging 140 in DeepSeek Harness)

For tensor parallel 4, pipeline parallel 4:

Full 1M context available. Around 7000 pp up to 500k context, tg 80

Paid 0.6 x RTX6000 Pro for the whole setup.

submitted by /u/Primary_Exchange21
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