local desktop · 2026-10-13

Two R9700s, one 35B

Unsloth UD-Q5_K_XL on llama.cpp Vulkan, DDR5-5200. two AMD Radeon AI PRO R9700 32 GB (gfx1201). Every tok/s, VRAM, and soak figure below is first-party unless a citation says otherwise.

Daily driver · 35B llama.cpp · 262K

Minimum system RAM needed

42.9 GB

Measured · 42.9 GiB raw · 256K context

local-desktop-20261012-2314-35b-udq5kxl-1gpu-256k-llamacpp-f16

RAM needed at full context

42.9 GB

Measured · 42.9 GiB raw · 256K full context

local-desktop-20261012-2314-35b-udq5kxl-1gpu-256k-llamacpp-f16

Measured peak system RAM on the local desktop: 42.9 GB (Linux GiB labeled GB). Measured, pending re-verify after RAM fix.

Breakdown
Offloaded weights ·
0 GiB
Separable embed in RAM ·
0 GiB
KV in RAM at selected ·
0 GiB
KV in RAM at full context ·
0 GiB
Runtime / backend ·
0.85 GiB
OS / desktop baseline ·
8.00 GiB
Headroom ·
16.0 GiB

RAM is Linux GiB labeled GB. The kit is 256 GB (about 249 usable). Linux GiB labeled GB on a 256 GB kit.

Measured on our rig, 2026-10

Two copies (one per card) behind a least-connections balancer

About 100 tok/s per request. Peak VRAM is Linux GiB labeled GB. DDR5 about 13 GB.

Per request

100 tok/s

About 100 tok/s · one copy per card

Total · 2 concurrent

172 tok/s

Total · 4–8 concurrent

~177 tok/s

Soak

0 errors

423 requests · 20.6 minutes

Peak VRAM
27.7 / 29.7 GB
Linux GiB labeled GB · card A / card B
DDR5
about 13 GB
Against the 256 GB kit · 249 usable
Balancer
Least connections
One llama-server per card

Measured on our rig, 2026-10

One server split across both cards

Official llama-bench 2026-10-12 (c060ca974 Vulkan). 42.03 tok/s at 256K; 82.78 at 4K. The older ~57 / 79 pair is retired.

Single request · 256K

42.03 tok/s

4K decode · split

82.78 tok/s

35B on two R9700s — measured decode, prefill, VRAM, and system RAM from local desktop.
Context Decode Prefill VRAM / card VRAM total System RAM Card
short 82.78 tok/s 2637.3 tok/s 13.28 / 13.11 GB 26.39 GB 37.6 GB local-desktop-20261012-2319-35b-udq5kxl-2gpu-4k-llamacpp-f16
32K 74.8 tok/s 1916 tok/s 13.77 / 13.64 GB 27.41 GB 38.16 GB local-desktop-20261012-2319-35b-udq5kxl-2gpu-32k-llamacpp-f16
128K 57.94 tok/s 1071.1 tok/s 15.47 / 15.48 GB 30.94 GB 41.02 GB local-desktop-20261012-2320-35b-udq5kxl-2gpu-128k-llamacpp-f16
256K 42.03 tok/s 671.7 tok/s 17.8 / 17.99 GB 35.74 GB 44.71 GB local-desktop-20261012-2321-35b-udq5kxl-2gpu-256k-llamacpp-f16

Official llama-bench split (c060ca974 Vulkan, UD-Q5_K_XL, two R9700s). A split 35B is slower than one card and much slower than two copies. House rule still stands: one LLM per GPU unless you deliberately combine.

Reference · one card

Single-card 35B

Same rig, one R9700, llama.cpp Vulkan, f16 KV. Measured on our rig, 2026-10.

Single-card 35B decode on one R9700. Measured on our rig.
Quant Context Decode Note
UD-Q5_K_XL 4K 102.39 tok/s Official llama.cpp c060ca974
UD-Q5_K_XL 32K 90.52 tok/s Official 2026-10-12
UD-Q5_K_XL 128K 66.43 tok/s Official 2026-10-12
UD-Q5_K_XL 256K 44.4 tok/s Official 2026-10-12
Q5_K_M 4K 109.73 tok/s Official 2026-10-12
Q4_K_M 4K 117.69 tok/s Official 2026-10-12
Q6_K 4K 103.23 tok/s Official 2026-10-12 Q6_K single-GPU 4K cell

Community image · first-party band

vLLM on gfx1201

Image stilldeadcode/vllm-radiance:0.5.8, INT4-W4A16, 1 card. About 50–61 tok/s on one card. Better for concurrency and prefill, worse for single-user decode than llama.cpp. vLLM stays unused on the engine catalog — this is a cited try, not the daily driver.

Overnight results.json

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Sources

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