Can I Run GLM-5.3-Flash on NVIDIA A100 80GB (PCIe)?
Written by Jakub Rusinowski · Last updated September 11, 2026
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 A100 80GB (PCIe)'s 80 GB leaves it ~118 GB short. The cheapest card that runs it is the Apple M5 Ultra (512 GB).
Get a personalized upgrade path →
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 A100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
GLM-5.3-Flash 320B-A18B on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 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 | ✗ No | — | — |
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 80 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 A100 80GB (PCIe): 8K 198 GB ✗ · 32K 209.8 GB ✗ · 128K 257.4 GB ✗. Past 8K it no longer fits 80 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 A100 80GB (PCIe) provides (80 GB).
Nearest GPU That Fits
Apple M5 Ultra (512 GB VRAM).
GLM-5.3-Flash needs ~198 GB but this GPU has 80 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
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
Will GLM-5.3-Flash run on the NVIDIA A100 80GB (PCIe)?
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 A100 80GB (PCIe)'s 80 GB leaves it ~118 GB short. The cheapest card that runs it is the Apple M5 Ultra (512 GB).
What GPU should I get instead to run 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 NVIDIA H100 80GB (PCIe)
- GLM-5.3-Flash on Apple M2 Max
- GLM-5.3-Flash on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA A100 80GB (PCIe)
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 A100 80GB (PCIe) GPU Page | VRAM calculator | Check Your Hardware