Files
serverAppConfigs/docs/Dankserver System Specs.md
T
Frank 5c9e812221 docs: frank-default-small now 200000 ctx/stream, batch 3072/1536, --no-mmap
Sync deployment.md, Dankserver specs, DFlash doc to the tuned config:
ctx reduced to 200000 per stream (pool 600000) to free KV VRAM for the larger
batch; --no-mmap eager RAM load; ctx-checkpoints 4; ~20GB VRAM / 32GB RAM.
models.json contextWindow -> 200000.
2026-08-11 01:52:12 -07:00

2.3 KiB

Dankserver System Specs

Server Overview

Dankserver is an NVIDIA GPU server for vLLM inference. The host runs Ubuntu 24.04 with an RTX 3090 and 62 GB of system RAM.

Hardware Specifications

CPU

Property Value
Architecture x86_64
Vendor AuthenticAMD
Model AMD Ryzen 7 7700X
Cores 8 (1 socket)
NUMA Nodes 1 (node 0, 63503 MB)

GPU

Property Value
Model NVIDIA GeForce RTX 3090
VRAM 24576 MiB (24 GB)
Driver 595.84
CUDA Version 13.2
CUDA Toolkit 12.0 (nvcc)

Memory

Property Value
System RAM 62 GiB
Swap 127 GiB
/dev/shm 32 GiB

Storage

Filesystem Size Used Avail Use%
/ (nvme0n1p2) 915G 729G 140G 84%
/mnt/entropy (dm-0) 91T 86T 910G 99%

OS and Software

Property Value
OS Ubuntu 24.04.4 LTS (Noble Numbat)
Kernel 7.0.0-28-generic
Python 3.12.3

Active Services

The active frank-default-small service (llama.cpp, b10108+) serves the HauhauCS Qwen3.6-35B-A3B uncensored Q6_K_P model on port 7770 with a DFlash draft. It runs 3 parallel slots at 200000 context each (pool 600000). All 40 layers' MoE expert weights sit on CPU (--n-cpu-moe 40) while non-expert tensors and the full-attention KV cache stay on GPU (--gpu-layers all, KV K=q8_0, V=f16). It uses batch 3072 / ubatch 1536 with --ctx-checkpoints and --no-mmap. At load it uses about 20 GB of the 24 GB VRAM and about 32 GB of RAM.

Hardware Relevance

  • 24 GB VRAM limits the GPU-resident footprint. With 3 x 200000 context, the full-attention KV cache plus non-expert weights and the batch 3072/1536 activation buffers consume about 20 GB, leaving about 4 GB of headroom. MoE experts must stay on CPU.
  • 62 GB system RAM holds the ~29 GB of MoE expert weights with room to spare (~57 GB available after load).
  • 127 GB swap is available for CPU KV cache paging if GPU KV offload is disabled.
  • Root disk has approximately 140 GB free. Store the GGUF models under /home/dank/models (about 32 GB total).

See Also