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.
Первичный источникQwen3.8 Flash Next
The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked С запасом and keep context modest.
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.
Открыть гидПоказательные модели с открытыми весами
Qwen3.8 Flash Next
English- Оценка памяти
- ~108 GB
- Контекст
- 262,144 native; 1M extended
Ling-3.0-flash
English- Оценка памяти
- ~74.4 GB
- Контекст
- Check selected runtime and checkpoint
gpt-oss-120b
- Оценка памяти
- ~80 GB
- Контекст
- 128K
Llama 4 Scout
- Оценка памяти
- ~78 GB
- Контекст
- 10M advertised
Llama 3.1 70B
- Оценка памяти
- ~46 GB
- Контекст
- 128K
Nex-N2.5-mini
English- Оценка памяти
- ~21 GB
- Контекст
- 262,144 (config max_position_embeddings)
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 (Впритык), Ling-3.0-flash (С запасом), gpt-oss-120b (С запасом), Llama 4 Scout (С запасом), Llama 3.1 70B (С запасом), Nex-N2.5-mini (С запасом).