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HARDWARE / VRAM

Workstation · 48 GB

70B Q4 serving begins here, with limited room for cache and concurrency.

RTX 6000 / dual GPU48 GB
01 / PRACTICAL CEILING

Nex-N2.5-mini

The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked Confortable and keep context modest.

02 / DEFAULT RUNTIME

vLLM

Linux GPU servers, concurrency and OpenAI-compatible production APIs. CUDA, ROCm and XPU feature coverage differs. Driver, shared-memory and quantization compatibility are version-specific.

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03 / MODEL ENVELOPE

Modèles open-weight représentatifs

Nex AGI

Nex-N2.5-mini

English
35BQ4 estimated budget
Mémoire estimée
~21 GB
Contexte
262,144 (config max_position_embeddings)
Alibaba Qwen

Qwen3.6 35B-A3B

35B3B active · Q4 / NVFP4 MoE
Mémoire estimée
~25 GB
Contexte
262K native
Alibaba Qwen

Qwen3 32B

32BGGUF Q4
Mémoire estimée
~24.5 GB
Contexte
32K+
Alibaba Qwen

Qwen3 30B-A3B

30B3B active · GGUF Q4 MoE
Mémoire estimée
~22.5 GB
Contexte
32K+
Alibaba Qwen

Qwen3.6 27B

27BQ4 / NVFP4 estimate
Mémoire estimée
~18.5 GB
Contexte
262K native
Alibaba Qwen

Qwen3.8 27B

27BQ4 estimate
Mémoire estimée
~19.5 GB
Contexte
262K native
Attention

Fit is based on estimated total model memory. Driver support, KV cache, multimodal projectors, concurrency, and desktop applications can all reduce available headroom. Current fit: Nex-N2.5-mini (Confortable), Qwen3.6 35B-A3B (Confortable), Qwen3 32B (Confortable), Qwen3 30B-A3B (Confortable), Qwen3.6 27B (Confortable), Qwen3.8 27B (Confortable).