NVIDIA · Blackwell · unified memory
What runs on a NVIDIA DGX Spark (GB10)
128 GB at 273 GB/s. The largest model that fits at Q4_K_M is gpt-oss 120B-A5.1B, at roughly 45.6 tokens per second. Unified memory means the operating system takes a share, so budget around three quarters of the total.
Huge capacity, modest bandwidth. Great for big MoE models, slow for big dense ones.
Runs comfortably
6.1 GB of 96.0 GB · 6%096 GB
Weights
4.6 GB
KV cache
1.0 GB
Runtime overhead
0.5 GB
Llama 3.1 8B at Q4_K_M leaves 89.9 GB spare on a NVIDIA DGX Spark (GB10). There is room to raise the context length or move up a quantisation level.
Generation35.1tok/s
Prompt processing3269tok/s
Max context128Ktokens
KV per 1K tokens0GB
Every quantisation of Llama 3.1 8B on a NVIDIA DGX Spark (GB10)
Highlighted row is the highest quality that still fits at 8K context.
| Quantisation | bpw | Weights | Total | Verdict | Max ctx | tok/s |
|---|---|---|---|---|---|---|
| FP16 / BF16 | 16.00 | 15.0 GB | 16.5 GB | Runs comfortably | 128K | 11.6 |
| INT8 / W8A8 | 8.50 | 7.7 GB | 9.2 GB | Runs comfortably | 128K | 21.9 |
| Q8_0 (GGUF) | 8.50 | 7.7 GB | 9.2 GB | Runs comfortably | 128K | 21.9 |
| FP8 (E4M3) | 8.00 | 7.5 GB | 9.0 GB | Runs comfortably | 128K | 22.5 |
| Q6_K | 6.56 | 6.1 GB | 7.7 GB | Runs comfortably | 128K | 27.1 |
| AWQ 4-bit | 4.25 | 5.4 GB | 6.9 GB | Runs comfortably | 128K | 30.4 |
| GPTQ 4-bit | 4.25 | 5.4 GB | 6.9 GB | Runs comfortably | 128K | 30.4 |
| MXFP4 | 4.25 | 5.4 GB | 6.9 GB | Runs comfortably | 128K | 30.4 |
| Q5_K_M | 5.67 | 5.3 GB | 6.8 GB | Runs comfortably | 128K | 30.9 |
| Q5_K_S | 5.52 | 5.2 GB | 6.7 GB | Runs comfortably | 128K | 31.7 |
| Q4_K_M | 4.85 | 4.6 GB | 6.1 GB | Runs comfortably | 128K | 35.1 |
| Q4_K_S | 4.58 | 4.4 GB | 5.9 GB | Runs comfortably | 128K | 36.6 |
| Q4_0 | 4.55 | 4.4 GB | 5.9 GB | Runs comfortably | 128K | 36.8 |
| IQ4_XS | 4.25 | 4.1 GB | 5.6 GB | Runs comfortably | 128K | 38.7 |
| Q3_K_M | 3.91 | 3.8 GB | 5.4 GB | Runs comfortably | 128K | 41.2 |
| IQ3_M | 3.70 | 3.7 GB | 5.2 GB | Runs comfortably | 128K | 42.8 |
| IQ3_XXS | 3.06 | 3.2 GB | 4.7 GB | Runs comfortably | 128K | 48.9 |
| Q2_K | 2.63 | 2.8 GB | 4.3 GB | Runs comfortably | 128K | 54.0 |
| IQ2_XXS | 2.06 | 2.3 GB | 3.9 GB | Runs comfortably | 128K | 62.6 |
| IQ1_M | 1.75 | 2.1 GB | 3.6 GB | Runs comfortably | 128K | 68.6 |
Models on a NVIDIA DGX Spark (GB10)
Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.
| Model | Params | Weights | Verdict | Max ctx | tok/s |
|---|---|---|---|---|---|
| DeepSeek-R1 671B-A37B | 671B | 379.0 GB | Won't fit | — | 2.40 |
| Qwen3 235B-A22B | 235.1B | 132.8 GB | Won't fit | — | 6.20 |
| gpt-oss 120B-A5.1B | 116.8B | 66.0 GB | Runs comfortably | 128K | 45.6 |
| Llama 4 Scout 109B-A17B | 109B | 61.7 GB | Runs comfortably | 180K | 14.8 |
| Qwen2.5 72B | 72.7B | 41.2 GB | Runs comfortably | 128K | 4.24 |
| Llama 3.1 70B | 70.5B | 40.0 GB | Runs comfortably | 128K | 4.37 |
| Mixtral 8x7B | 46.7B | 26.4 GB | Runs comfortably | 32K | 19.7 |
| Command R 35B | 35.0B | 20.1 GB | Runs comfortably | 60K | 7.19 |
| Yi-1.5 34B | 34.4B | 19.5 GB | Runs comfortably | 32K | 8.80 |
| Qwen3 32B | 32.8B | 18.6 GB | Runs comfortably | 128K | 9.17 |
| Qwen2.5-Coder 32B | 32.8B | 18.6 GB | Runs comfortably | 128K | 9.17 |
| DeepSeek-R1-Distill-Qwen 32B | 32.8B | 18.6 GB | Runs comfortably | 128K | 9.17 |
| Qwen3 30B-A3B | 30.5B | 17.3 GB | Runs comfortably | 128K | 53.5 |
| Gemma 3 27B | 27.4B | 15.6 GB | Runs comfortably | 128K | 11.0 |
| Mistral Small 24B | 23.6B | 13.4 GB | Runs comfortably | 32K | 12.8 |
| gpt-oss 20B-A3.6B | 20.9B | 11.9 GB | Runs comfortably | 128K | 64.8 |
| Qwen3 14B | 14.8B | 8.5 GB | Runs comfortably | 128K | 19.8 |
| Phi-4 14B | 14.7B | 8.4 GB | Runs comfortably | 16K | 19.6 |
| Mistral NeMo 12B | 12.3B | 7.0 GB | Runs comfortably | 128K | 23.5 |
| Gemma 3 12B | 12.2B | 7.0 GB | Runs comfortably | 128K | 23.8 |
| GLM-4 9B | 9.4B | 5.4 GB | Runs comfortably | 128K | 32.2 |
| Qwen3 8B | 8.2B | 4.7 GB | Runs comfortably | 128K | 33.9 |
| Llama 3.1 8B | 8.0B | 4.6 GB | Runs comfortably | 128K | 35.1 |
| DeepSeek-R1-Distill-Llama 8B | 8.0B | 4.6 GB | Runs comfortably | 128K | 35.1 |
| Qwen2.5 7B | 7.6B | 4.4 GB | Runs comfortably | 128K | 38.9 |
| Mistral 7B v0.3 | 7.3B | 4.1 GB | Runs comfortably | 32K | 38.8 |
| Gemma 3 4B | 4.3B | 2.5 GB | Runs comfortably | 128K | 66.4 |
| Qwen3 4B | 4.0B | 2.3 GB | Runs comfortably | 128K | 62.2 |
| Llama 3.2 3B | 3.2B | 1.8 GB | Runs comfortably | 128K | 78.1 |
| Llama 3.2 1B | 1.2B | 0.7 GB | Runs comfortably | 128K | 209 |
Compared with
NVIDIA DGX Spark (GB10) vs RTX 5090
128 GB vs 32 GBNVIDIA DGX Spark (GB10) vs RTX 4090
128 GB vs 24 GBNVIDIA DGX Spark (GB10) vs RTX 3090
128 GB vs 24 GBNVIDIA DGX Spark (GB10) vs RTX 5080
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 5070 Ti
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 4070 Ti Super
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 4060 Ti 16GB
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 3060 12GB
128 GB vs 12 GB
128 GB vs 32 GBNVIDIA DGX Spark (GB10) vs RTX 4090
128 GB vs 24 GBNVIDIA DGX Spark (GB10) vs RTX 3090
128 GB vs 24 GBNVIDIA DGX Spark (GB10) vs RTX 5080
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 5070 Ti
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 4070 Ti Super
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 4060 Ti 16GB
128 GB vs 16 GBNVIDIA DGX Spark (GB10) vs RTX 3060 12GB
128 GB vs 12 GB
Direct answers
Llama 3.1 8B on NVIDIA DGX Spark (GB10)
8.0BLlama 3.1 70B on NVIDIA DGX Spark (GB10)
70.5BLlama 3.2 3B on NVIDIA DGX Spark (GB10)
3.2BLlama 3.2 1B on NVIDIA DGX Spark (GB10)
1.2BLlama 4 Scout 109B-A17B on NVIDIA DGX Spark (GB10)
109BQwen3 8B on NVIDIA DGX Spark (GB10)
8.2BQwen3 14B on NVIDIA DGX Spark (GB10)
14.8BQwen3 32B on NVIDIA DGX Spark (GB10)
32.8B
8.0BLlama 3.1 70B on NVIDIA DGX Spark (GB10)
70.5BLlama 3.2 3B on NVIDIA DGX Spark (GB10)
3.2BLlama 3.2 1B on NVIDIA DGX Spark (GB10)
1.2BLlama 4 Scout 109B-A17B on NVIDIA DGX Spark (GB10)
109BQwen3 8B on NVIDIA DGX Spark (GB10)
8.2BQwen3 14B on NVIDIA DGX Spark (GB10)
14.8BQwen3 32B on NVIDIA DGX Spark (GB10)
32.8B