Can I Run GLM-5.3-Flash on NVIDIA DGX Spark?
作者： Jakub Rusinowski · 最后更新： 2026年9月11日
No — GLM-5.3-Flash 320B-A18B at Q4_K_M needs 198 GB at 8K context (193.2 GB weights + 4.8 GB KV cache/overhead), and the NVIDIA DGX Spark's 128 GB leaves it ~70 GB short. The cheapest card that runs it is the Apple M5 Ultra (512 GB).
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NVIDIA DGX Spark Specs
| VRAM | 128 GB |
| Memory Bandwidth | 273 GB/s |
GLM-5.3-Flash 320B-A18B on the NVIDIA DGX Spark: VRAM by quantization
| Quant | VRAM needed | Fits 128 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 644.8 GB | ✗ No | — | — |
| Q8_0 | 344.8 GB | ✗ No | — | — |
| Q6_K | 267.2 GB | ✗ No | — | — |
| Q5_K_M | 231.6 GB | ✗ No | — | — |
| Q4_K_M | 198 GB | ✗ No | — | — |
| Q3_K_M | 141.2 GB | ✗ No | — | — |
| Q2_K | 110 GB | ✓ Yes | 32K | — |
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 198 GB ✗ · 32K 209.8 GB ✗ · 128K 257.4 GB ✗. Past 8K it no longer fits 128 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? GLM-5.3-Flash 320B-A18B on 192 GB of system RAM, CPU only: runs, but it is tight.
Why It Does Not Fit
Every GLM-5.3-Flash variant requires more VRAM than the NVIDIA DGX Spark provides (128 GB).
Nearest GPU That Fits
Apple M5 Ultra (512 GB VRAM).
GLM-5.3-Flash needs ~198 GB but this GPU has 128 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
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FAQ
Can I run GLM-5.3-Flash on the NVIDIA DGX Spark?
No — GLM-5.3-Flash 320B-A18B at Q4_K_M needs 198 GB at 8K context (193.2 GB weights + 4.8 GB KV cache/overhead), and the NVIDIA DGX Spark's 128 GB leaves it ~70 GB short. The cheapest card that runs it is the Apple M5 Ultra (512 GB).
What's the cheapest GPU that runs GLM-5.3-Flash?
The Apple M5 Ultra (512 GB VRAM) is the cheapest upgrade that fits it.
GLM-5.3-Flash on Other GPUs
- GLM-5.3-Flash on Apple M4 Max
- GLM-5.3-Flash on Apple M1 Ultra
- GLM-5.3-Flash on Apple M5 Max
- GLM-5.3-Flash on AMD Ryzen AI Max+ 395
Popular Models on the NVIDIA DGX Spark
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | GLM-5.3-Flash Model Page | NVIDIA DGX Spark GPU Page | VRAM calculator | Check Your Hardware