Arcee Trinity Mini 26B on NVIDIA RTX PRO 6000 Blackwell Max-Q
Yes — RTX PRO 6000 Blackwell Max-Q runs Arcee Trinity Mini 26B excellently at Q8_0 — 75 tok/s. 96 GB VRAM with plenty of headroom.
Model Size
26B
Device VRAM
96 GB
Bandwidth
1800 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Arcee Trinity Mini 26B on NVIDIA RTX PRO 6000 Blackwell Max-Q at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 75 tok/s | 80ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
26B MoE (3B active). Q8_0 29GB on 96GB discrete gpu.
About Arcee Trinity Mini 26B
Arcee Trinity Mini 26B (26B) is a chat, coding, ai coding, reasoning, multi-purpose model. Arcee AI's mid-range Mixture-of-Experts reasoning model. 26B total parameters with only 3B active per token (128 experts, 8 selected + 1 shared). Trained on 10 trillion tokens via Datology partnership. Handles math, code, and agentic tasks well; fits at Q4_K_M on a 24 GB GPU. The most practical Trinity variant for consumer hardware. US-built, Apache 2.0 licensed.
View all Arcee Trinity Mini 26B hardware options →About NVIDIA RTX PRO 6000 Blackwell Max-Q
NVIDIA RTX PRO 6000 Blackwell Max-Q has 96 GB at 1800 GB/s. Street price: $7,000.
See all models NVIDIA RTX PRO 6000 Blackwell Max-Q can run →Estimate method: Estimated from MoE architecture (active params per token), quantization size, and device bandwidth. Reference hardware source: huggingface.co (2026-03-14)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.