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HARDWARE / VRAM

GeForce RTX 5090 · 32 GB

A fast single-GPU tier for 27B-class low-bit models, with limited remaining space for very long context or multiple concurrent users.

Fonte primária
Consumer Blackwell GPU32 GB
01 / PRACTICAL CEILING

Qwen3.6 35B-A3B

The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked Comfortable 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

Modelos open-weight representativos

Alibaba Qwen

Qwen3.6 35B-A3B

35B3B active · Q4 / NVFP4 MoE
Memória estimada
~25 GB
Contexto
262K native
Alibaba Qwen

Qwen3 32B

32BGGUF Q4
Memória estimada
~24.5 GB
Contexto
32K+
Alibaba Qwen

Qwen3 30B-A3B

30B3B active · GGUF Q4 MoE
Memória estimada
~22.5 GB
Contexto
32K+
Alibaba Qwen

Qwen3.6 27B

27BQ4 / NVFP4 estimate
Memória estimada
~18.5 GB
Contexto
262K native
Alibaba Qwen

Qwen3.8 27B

27BQ4 estimate
Memória estimada
~19.5 GB
Contexto
262K native
Google

Gemma 3 27B

27BINT4
Memória estimada
~20.5 GB
Contexto
128K
Atenção

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: Qwen3.6 35B-A3B (Tight), Qwen3 32B (Tight), Qwen3 30B-A3B (Tight), Qwen3.6 27B (Comfortable), Qwen3.8 27B (Comfortable), Gemma 3 27B (Comfortable).