Can the RTX Spark N1X (128 GB) run Llama 3.3 70B?
Yes. Llama 3.3 70B fits the RTX Spark N1X (128 GB)'s 128 GB at Q4_K_M (about 41.8 GB needed), running at an estimated 3.9 tok/s. There's room for up to Q8_0 if you want higher quality.
Every quantization
Llama 3.3 70B (70B) on 128 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 40 GB | 41.8 GB | Fits easily | ~3.9 tok/s |
| Q5_K_M | 48 GB | 49.8 GB | Fits easily | ~3.3 tok/s |
| Q8_0 | 75 GB | 76.8 GB | Fits easily | ~2.1 tok/s |
| FP16 | 140 GB | 141.8 GB | Too big | - |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX Spark N1X (128 GB)'s 273 GB/s bandwidth (Estimated from memory bandwidth (llama.cpp decode); bandwidth assumed equal to DGX Spark (GB10), which shares the 6,144-core GPU - NVIDIA has not published an N1X figure). Long contexts need more memory and run slower.
Run it
Copy, paste, go
ollama run llama3.3:70bllama-server -hf bartowski/Llama-3.3-70B-Instruct-GGUF -ngl 99Ollama pulls a Q4 build by default. Pick a larger quant only if the table above says it fits. Full Llama 3.3 70B details →
Compare
Same model, other hardware - and other models on this card
Llama 3.3 70B on other hardware
- RTX 6000D~23 tok/s
- MacBook Pro 16" M4 Max~7.8 tok/s
- DGX Spark (GB10)~3.9 tok/s
Also runs on the RTX Spark N1X (128 GB)
- gpt-oss-120b~35 tok/s
- Qwen2.5 72B~3.9 tok/s
- Qwen3.6 35B A3B~60 tok/s
- Qwen3.5 35B A3B~60 tok/s
- dolphin-2.9.1-yi-1.5-34b~7.8 tok/s
- Gemma 4 31B~8.3 tok/s
- Qwen3 32B~8.3 tok/s
- GLM-4.7-Flash~60 tok/s
Frequently asked
Quick answers
Can the NVIDIA RTX Spark N1X (128 GB) run Llama 3.3 70B?
Yes. Llama 3.3 70B fits the RTX Spark N1X (128 GB)'s 128 GB at Q4_K_M (about 41.8 GB needed), running at an estimated 3.9 tok/s. There's room for up to Q8_0 if you want higher quality.
How much VRAM does Llama 3.3 70B need?
About 40 GB of weights at Q4_K_M, 75 GB at Q8_0 and 140 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is Llama 3.3 70B on the RTX Spark N1X (128 GB)?
Roughly 3.9 tokens per second at Q4_K_M (single user, llama.cpp-style decode). This is an estimate from the RTX Spark N1X (128 GB)'s 273 GB/s memory bandwidth.