Can I Run Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 4080 Super?
Written by Jakub Rusinowski · Last updated August 15, 2026
No — Laguna XS 2.1 33B-A3B at Q4_K_M needs 22.6 GB at 8K context (19.9 GB weights + 2.7 GB KV cache/overhead), and the NVIDIA GeForce RTX 4080 Super's 16 GB leaves it ~6.6 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 5090 Laptop GPU (24 GB).
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NVIDIA GeForce RTX 4080 Super Specs
| VRAM | 16 GB |
| Memory Bandwidth | 736 GB/s |
Laguna XS 2.1 33B-A3B on the NVIDIA GeForce RTX 4080 Super: VRAM by quantization
| Quant | VRAM needed | Fits 16 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 68.6 GB | ✗ No | — | — |
| Q8_0 | 37.7 GB | ✗ No | — | — |
| Q6_K | 29.7 GB | ✗ No | — | — |
| Q5_K_M | 26 GB | ✗ No | — | — |
| Q4_K_M | 22.6 GB | ✗ No | — | — |
| Q3_K_M | 16.7 GB | ✗ No | — | — |
| Q2_K | 13.5 GB | ✓ Yes | 16K | — |
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 16 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 GeForce RTX 4080 Super: 8K 22.6 GB ✗ · 32K 28.1 GB ✗ · 128K 50.3 GB ✗. Past 8K it no longer fits 16 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Laguna XS 2.1 33B-A3B on 24 GB of system RAM, CPU only: runs.
Why It Does Not Fit
Every Poolside Laguna XS 2.1 variant requires more VRAM than the NVIDIA GeForce RTX 4080 Super provides (16 GB).
Nearest GPU That Fits
NVIDIA GeForce RTX 5090 Laptop GPU (24 GB VRAM).
Poolside Laguna XS 2.1 needs ~23 GB but this GPU has 16 GB. Rent a RTX 4090 (24 GB)-class GPU by the hour instead of buying one:
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FAQ
Poolside Laguna XS 2.1 on the NVIDIA GeForce RTX 4080 Super — does it fit?
No — Laguna XS 2.1 33B-A3B at Q4_K_M needs 22.6 GB at 8K context (19.9 GB weights + 2.7 GB KV cache/overhead), and the NVIDIA GeForce RTX 4080 Super's 16 GB leaves it ~6.6 GB short. The cheapest card that runs it is the NVIDIA GeForce RTX 5090 Laptop GPU (24 GB).
What GPU should I get instead to run Poolside Laguna XS 2.1?
The NVIDIA GeForce RTX 5090 Laptop GPU (24 GB VRAM) is the cheapest upgrade that fits it.
Poolside Laguna XS 2.1 on Other GPUs
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5080
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5070 Ti
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 5060 Ti 16GB
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 4080
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 4070 Ti Super
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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? | Poolside Laguna XS 2.1 Model Page | NVIDIA GeForce RTX 4080 Super GPU Page | Check Your Hardware