HARDWARE / UNIFIED MEMORY

NVIDIA DGX Spark · 128 GB

A compact local AI system with 128 GB coherent memory. It can hold large low-bit models, but decode speed and software support remain model-specific.

Source primaire

GB10 Grace Blackwell128 GB

01 / PRACTICAL CEILING

Qwen3.8 Flash Next

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

Alibaba Qwen

Qwen3.8 Flash Next

English

180BQ4 estimated budget

Mémoire estimée: ~108 GB
Contexte: 262,144 native; 1M extended

inclusionAI

Ling-3.0-flash

English

124BQ4 estimated budget

Mémoire estimée: ~74.4 GB
Contexte: Check selected runtime and checkpoint

OpenAI

gpt-oss-120b

117B5.1B active · MXFP4

Mémoire estimée: ~80 GB
Contexte: 128K

Llama 4 Scout

109B17B active · INT4 MoE

Mémoire estimée: ~78 GB
Contexte: 10M advertised

Llama 3.1 70B

70BGGUF Q4

Mémoire estimée: ~46 GB
Contexte: 128K

Nex AGI

Nex-N2.5-mini

English

35BQ4 estimated budget

Mémoire estimée: ~21 GB
Contexte: 262,144 (config max_position_embeddings)

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: Qwen3.8 Flash Next (Serré), Ling-3.0-flash (Confortable), gpt-oss-120b (Confortable), Llama 4 Scout (Confortable), Llama 3.1 70B (Confortable), Nex-N2.5-mini (Confortable).