Can I Run Llama 4.5 on NVIDIA DGX Spark?
Written by Jakub Rusinowski · Last updated July 21, 2026
Yes, comfortably — Llama 4.5 Scout at Q4_K_M needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), leaving ~58.6 GB of the NVIDIA DGX Spark's 128 GB, at ~19 tok/s (est.), with room for up to 128K context.
See what else this hardware can run →
or compare on Vast.ai from $0.77/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
NVIDIA DGX Spark Specs
| VRAM | 128 GB |
| Memory Bandwidth | 273 GB/s |
Llama 4.5 Scout on the NVIDIA DGX Spark: VRAM by quantization
| Quant | VRAM needed | Fits 128 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 221.6 GB | ✗ No | — | — |
| Q8_0 | 119.4 GB | ✓ Yes | 32K | — |
| Q6_K | 92.9 GB | ✓ Yes | 64K | — |
| Q5_K_M | 80.8 GB | ✓ Yes | 128K | — |
| Q4_K_M | 69.4 GB | ✓ Yes | 128K | — |
| Q3_K_M | 50 GB | ✓ Yes | 128K | — |
| Q2_K | 39.4 GB | ✓ Yes | 256K | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 128 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA DGX Spark: 8K 69.4 GB · 32K 77.6 GB · 128K 110.6 GB. Every window this model publishes still fits 128 GB.
No compatible GPU? Llama 4.5 Scout on 64 GB of system RAM, CPU only: runs, but it is tight.
Llama 4.5 Sizes That Fit the NVIDIA DGX Spark (at 8K context)
| Llama 4.5 Scout | Q4_K_M · 69.4 GB at 8K context · ~19 tok/s (est.) |
At 2 hrs/day, buying (~$4,699) beats renting at $0.77/hr after about 8.5 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Llama 4.5 on the NVIDIA DGX Spark — does it fit?
Yes, comfortably — Llama 4.5 Scout at Q4_K_M needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), leaving ~58.6 GB of the NVIDIA DGX Spark's 128 GB, at ~19 tok/s (est.), with room for up to 128K context.
Which Llama 4.5 variant fits best on the NVIDIA DGX Spark?
Llama 4.5 Scout at Q4_K_M quantization needs 69.4 GB at 8K context (65.8 GB weights + 3.6 GB KV cache/overhead), estimated ~19 tokens/sec, up to 128K context.
Llama 4.5 on Other GPUs
- Llama 4.5 on Apple M4 Max
- Llama 4.5 on Apple M3 Max
- Llama 4.5 on Apple M1 Ultra
- Llama 4.5 on Apple M5 Max
- Llama 4.5 on AMD Ryzen AI Max+ 395
Popular Models on the NVIDIA DGX Spark
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Llama 4.5 Model Page | NVIDIA DGX Spark GPU Page | VRAM calculator | Check Your Hardware