llamaperf

NVIDIA RTX 6000 Ada

NVIDIA · 48GB · 2 reports

Engines people use on it: ExLlamaV3 1 (reports) · llama.cpp 1 (reports)

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Reported performance on the NVIDIA RTX 6000 Ada

These reports mix GPU counts and memory setups, so a model listed here may have needed extra cards or CPU offloading. The calculator estimates which models fit in 48 GB of VRAM.

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NVIDIA hardware
generation:
49.6 tokens/s
prompt processing (prefill):
2370.2 tokens/s
quant:
2.20 bpw (EXL3)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

User reports MiMo-V2.6-Flash-RL at 49.57 tok/s decode (p50, single stream) on an NVIDIA RTX 6000 Ada 96GB. Setup is ExLlamaV3 (vcruz305 fork) with a 2.20 bpw EXL3 pack (86.94 GB) at 65,536-token context and a 65,536-token KV pool; prefill measured 2,370.2 tok/s p50. With the DFlash drafter attached, decode rises to 184.11 tok/s p50 and prefill is 2,257.7 tok/s. Aggregate throughput under load reaches 236.2 tok/s at C=8 without the drafter and 330.6 tok/s with it; the eight-stream per-stream decode p50 is 34.95 and 54.46 tok/s respectively. The 2.50 bpw pack (98.48 GB) does not fit a 96 GB card. On a DGX Spark / GB10 unified-memory host the 2.50 bpw pack runs at 34.9 tok/s decode (code) and 23.7 tok/s (prose) with draft_accept 0.78.

Oct 6, 2026
NVIDIA hardware
generation:
260.0 tokens/s
quant:
Q4_K_M (GGUF)
kv:
q8_0

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

User reports Ornith-Agents-A1-3.6-35B-A3B (a dare_ties merge on Qwen3.6-35B-A3B with a grafted MTP block) at up to ~260 tok/s on an RTX 6000 Ada with 96GB VRAM. Setup is llama.cpp with Q4_K_M GGUF, q8_0 KV cache, 131072 context, --parallel 4, and native MTP speculative decoding (--spec-type draft-mtp, --spec-draft-n-max 4). Model used ~25 GB of the 95.6 GB VRAM. MTP draft acceptance stayed in the 42-48% range across generation lengths; measured throughput converged to ~245-260 tok/s. Q8_0 with MTP gave 190 tok/s, MTP disabled gave 150-200 tok/s, and vLLM measured 130 tok/s. spec-draft-n-max 3 gave 270 tok/s and spec-draft-n-max 2 gave 277 tok/s.

Oct 4, 2026

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Reported configurations

Individual observations from this page, not expected speeds or a ranking. Select a model to open its report, with the source and offloading conditions. Reported context may be a limit rather than actual input length.

Model / hardwareQuant / engineReported contextGeneration
Mimo 2.6 309B (15B active) Flash-RL
NVIDIA RTX 6000 Ada
2.20 bpw
ExLlamaV3
65,53649.6 tokens/s
Qwen3.6 35B (3B active) Ornith-Agents-A1-3.6
NVIDIA RTX 6000 Ada
Q4_K_M
llama.cpp
131,072260.0 tokens/s