Can I Run Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 3090?
Written by Jakub Rusinowski · Last updated August 15, 2026
Yes, but it's tight — 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), leaving ~1.4 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~144 tok/s (est.), with room for up to 8K context.
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NVIDIA GeForce RTX 3090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 936 GB/s |
Laguna XS 2.1 33B-A3B on the NVIDIA GeForce RTX 3090: VRAM by quantization
| Quant | VRAM needed | Fits 24 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 | ✓ Yes | 8K | — |
| Q3_K_M | 16.7 GB | ✓ Yes | 32K | — |
| Q2_K | 13.5 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 24 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 3090: 8K 22.6 GB · 32K 28.1 GB ✗ · 128K 50.3 GB ✗. Past 32K it no longer fits 24 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.
Poolside Laguna XS 2.1 Sizes That Fit the NVIDIA GeForce RTX 3090 (at 8K context)
| Laguna XS 2.1 33B-A3B | Q4_K_M · 22.6 GB at 8K context · ~144 tok/s (est.) |
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Poolside Laguna XS 2.1 on the NVIDIA GeForce RTX 3090 — does it fit?
Yes, but it's tight — 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), leaving ~1.4 GB of the NVIDIA GeForce RTX 3090's 24 GB, at ~144 tok/s (est.), with room for up to 8K context.
Which Poolside Laguna XS 2.1 variant fits best on the NVIDIA GeForce RTX 3090?
Laguna XS 2.1 33B-A3B at Q4_K_M quantization needs 22.6 GB at 8K context (19.9 GB weights + 2.7 GB KV cache/overhead), estimated ~144 tokens/sec, up to 8K context.
Poolside Laguna XS 2.1 on Other GPUs
- Poolside Laguna XS 2.1 on NVIDIA GeForce RTX 4090
- Poolside Laguna XS 2.1 on AMD Radeon RX 7900 XTX
- Poolside Laguna XS 2.1 on Apple M4 Pro
- Poolside Laguna XS 2.1 on Apple M3
- Poolside Laguna XS 2.1 on Apple M2
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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
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