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.
Primary sourceQwen3.8 Flash Next
The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked Comfortable 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.
Open guideRepresentative open-weight models
Qwen3.8 Flash Next
- Estimated memory
- ~108 GB
- Context
- 262,144 native; 1M extended
Ling-3.0-flash
- Estimated memory
- ~74.4 GB
- Context
- Check selected runtime and checkpoint
gpt-oss-120b
- Estimated memory
- ~80 GB
- Context
- 128K
Llama 4 Scout
- Estimated memory
- ~78 GB
- Context
- 10M advertised
Llama 3.1 70B
- Estimated memory
- ~46 GB
- Context
- 128K
Nex-N2.5-mini
- Estimated memory
- ~21 GB
- Context
- 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 (Tight fit), Ling-3.0-flash (Comfortable), gpt-oss-120b (Comfortable), Llama 4 Scout (Comfortable), Llama 3.1 70B (Comfortable), Nex-N2.5-mini (Comfortable).